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      <title>Introdcution to Computational Chemistry by MUHAMMAD ALIF BIN MOHAMMAD LATIF / ASASI</title>
      <link>https://padlet.com/aliflatif1/qou8pxob2z6n</link>
      <description>Share one scientific study that utilize (any) computational chemistry method. Who did, when, what the research is about (pics, plots etc2), computational method(s) used, url</description>
      <language>en-us</language>
      <pubDate>2018-02-14 05:34:53 UTC</pubDate>
      <lastBuildDate>2025-12-29 19:43:08 UTC</lastBuildDate>
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         <title>Amira Shahirah 182315</title>
         <author></author>
         <link>https://padlet.com/aliflatif1/qou8pxob2z6n/wish/231424072</link>
         <description><![CDATA[<div><strong>Electron Affinity of Liquid Water</strong><br>Alex P. Gaiduk, Tuan Anh Pham, Marco Govoni, Francesco Paesani &amp; Giulia Galli<br>08 September 2017<br><em>doi: 10.1038/s41467-017-02673-z<br></em><br>- Prediction of electron affinity of liquid water for better understanding about the mechanisms of redox reactions in aqueous system.&nbsp;<br>- Methods are the first principles which combined path-integral MD simulations with ab initio potentials, and state-of-the-art electronic structure methods based on MBPT. <br><br>URL :</div>]]></description>
         <enclosure url="https://www.nature.com/articles/s41467-017-02673-z#Bib1" />
         <pubDate>2018-02-14 10:36:51 UTC</pubDate>
         <guid>https://padlet.com/aliflatif1/qou8pxob2z6n/wish/231424072</guid>
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         <title>The use of quantum chemical methods in corrision inhibitor studies</title>
         <author></author>
         <link>https://padlet.com/aliflatif1/qou8pxob2z6n/wish/231437640</link>
         <description><![CDATA[<div>Gokhan Gece<br>27 August 2008<br><br>Through this method, it can be used in searching for compounds with desired properties using chemical intuition and experience into a mathematically qualified and computarized form. A set of mathematical equation are capable of representing accurately the chemical phenomenon when there is a correlation between the structure and activity of property is found.<br><br>URL: <br><br>Naemah Solihah Bt Jonaidi<br>182243</div>]]></description>
         <enclosure url="https://www.sciencedirect.com/science/article/pii/S0010938X0800365X?via%3Dihub#bib27" />
         <pubDate>2018-02-14 11:49:01 UTC</pubDate>
         <guid>https://padlet.com/aliflatif1/qou8pxob2z6n/wish/231437640</guid>
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         <title>Aina Yaslina 181766</title>
         <author></author>
         <link>https://padlet.com/aliflatif1/qou8pxob2z6n/wish/231472624</link>
         <description><![CDATA[<h1><strong>Geometry Optimization with Machine Trained Topological Atoms</strong></h1><div>François Zielinski, Peter I. Maxwell, Timothy L. Fletcher, Stuart J. Davie, Nicodemo Di Pasquale, Salvatore Cardamone, Matthew J. L. Mills &amp; Paul L. A. Popelier<br>06 September 2017<br><em>doi:10.1038/s41598-017-12600-3</em><br><br>The geometry optimization of a water molecule with a novel type of energy function called FFLUX is presented to bypass the traditional bonded potentials. FFLUX’s architecture is suitable to predict their IQA atomic energies for a previously unseen molecular geometry. Training of FFLUX is achieved via an in-house script called GAIA, which controls the construction of a kriging model. The GAIA protocol has five key steps: (1) sampling, (2) ab initio calculations, (3) atomic property calculations, (4) kriging model building and (5) validation. The steps are carried out sequentially, with the output of the previous step forming the input for the next step.</div>]]></description>
         <enclosure url="https://www.nature.com/articles/s41598-017-12600-3#Sec2" />
         <pubDate>2018-02-14 13:43:03 UTC</pubDate>
         <guid>https://padlet.com/aliflatif1/qou8pxob2z6n/wish/231472624</guid>
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         <title>NOR ALISSA 182052 </title>
         <author></author>
         <link>https://padlet.com/aliflatif1/qou8pxob2z6n/wish/231478178</link>
         <description><![CDATA[<h1><strong>Applications of computational chemistry to the study of the antiradical activity of carotenoids: A review</strong></h1><div><br>Debora Luana Monego, Marcelo Barcellos da Rosa, Paulo Cicero do Nascimento  <br>15 February 2017<br> <br>URL: <br><a href="https://www.sciencedirect.com/science/article/pii/S0308814616313139">https://www.sciencedirect.com/science/article/pii/S0308814616313139</a> <br><br>- Most computational studies apply to the electron transfer mechanism. A significant number of these applications have been directed towards understanding the electron transfer mechanism, and a useful tool called the FEDAM (full-electron donor-acceptor map) was developed to better evaluate this mechanism.  Hydrogen abstraction may be favored according to the radical’s nature. <br><br></div>]]></description>
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         <pubDate>2018-02-14 13:55:35 UTC</pubDate>
         <guid>https://padlet.com/aliflatif1/qou8pxob2z6n/wish/231478178</guid>
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         <title>Nurshafiqah Ezzaty Binti Saran  182018 </title>
         <author></author>
         <link>https://padlet.com/aliflatif1/qou8pxob2z6n/wish/231503533</link>
         <description><![CDATA[<div><strong>Reliable Charge Assessment On Encapsulated Fragment For Endohedral Systems<br><br></strong>A. J. Stasyuk, M. Solà &amp; A. A. Voityuk<br>(2018)<br><br> - To determine charge distribution in endohedral complexes.<br><br>- Present a new scheme for assessment of charge distribution on endohedral complexes <br>- All calculations were performed with the PBE0/Def2-TZVP (with ECP-28 and ECP-60 for Ag and Au atoms<a href="https://www.nature.com/articles/s41598-018-21240-0#ref-CR39"><sup>39</sup></a> correspondently) method<a href="https://www.nature.com/articles/s41598-018-21240-0#ref-CR40"><sup>40</sup></a><sup>,</sup><a href="https://www.nature.com/articles/s41598-018-21240-0#ref-CR41"><sup>41</sup></a><sup>,</sup><a href="https://www.nature.com/articles/s41598-018-21240-0#ref-CR42"><sup>42</sup></a> using Gaussian 09 program<a href="https://www.nature.com/articles/s41598-018-21240-0#ref-CR43"><sup>43</sup></a>.<br><br>- Charge density analysis performed with Mulliken, Löwdin, Hirshfeld, CM5, QTAIM, and NPA schemes for endohedral X@B39 complex and the predicted charge of X (Qx predicted)a obtained within the method proposed in this work. Units are electrons.<br><br><br><br></div>]]></description>
         <enclosure url="https://www.nature.com/articles/s41598-018-21240-0" />
         <pubDate>2018-02-14 14:41:11 UTC</pubDate>
         <guid>https://padlet.com/aliflatif1/qou8pxob2z6n/wish/231503533</guid>
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         <title>Wan Anis Syafiqah Wan Mohd Taib 183780</title>
         <author></author>
         <link>https://padlet.com/aliflatif1/qou8pxob2z6n/wish/231508507</link>
         <description><![CDATA[<div>&nbsp;</div><h1><strong>Ab initio study of ionic solutions by a polarizable continuum dielectric model&nbsp;</strong></h1><div><br>Maurizio Cossia, Vincenzo Baronea, Benedetta Mennuccib, Jacopo Tomasib<br><br>10 April 1998<br><br><strong>What the research is about :</strong><br>- new implementation of integral equation formalism version of the PCM solvation method<br>- this implementation number of techniques for analysis of energies and electronic properties of closed and open shell molecule at the Hartree-Fock and density functional levels<br>- HF calculations was implemented on closed shell systems and the present formulation is more effective then extended to DF calculations for open shell molecule<br><br><strong>Computational method</strong><br>- the solute molecule is embedded in a cavity surrounded by a polarizable medium, with the dielectric constant of the considered solvent. The cavity has molecular shape: it is formed by fused spheres, centered on solute atoms or atomic groups, according to the GEPOL algorithm<br>- IEF-PCM exploited in theory of integral equations<br>- IEF differs from the other PCM-like approaches only for G<sub>el</sub>, in particular, in ionic solutions the ionic atmosphere affects the electrostatic solute–solvent interactions only</div><div><br>URL<br><a href="https://www.sciencedirect.com/science/article/pii/S0009261498001067?via%3Dihub">https://www.sciencedirect.com/science/article/pii/S0009261498001067?via%3Dihub</a><br><br><br><br></div>]]></description>
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         <pubDate>2018-02-14 14:48:49 UTC</pubDate>
         <guid>https://padlet.com/aliflatif1/qou8pxob2z6n/wish/231508507</guid>
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         <title>NUR SYAHIRA AMIRUDIN 182653</title>
         <author></author>
         <link>https://padlet.com/aliflatif1/qou8pxob2z6n/wish/231574430</link>
         <description><![CDATA[<div>&nbsp;</div><h1><strong>Title</strong>: Investigation of anticancer properties of caffeinated complexes via computational chemistry methods&nbsp;</h1><div><br></div><div><strong>Author</strong>: Koray Sayin, Ayhan Ungordu<br><br><strong>Date available online</strong>: 6th Dec 2017<br><br><strong>Method used</strong>: <br><strong>1) </strong>Gauge-including-atomic-orbital (GIAO) method in vacuo. [B3LYP]<br><strong>2)</strong> Density Functional Theory (DFT) used to get Molecular Electrostatic Potential (MEP) map, MEP contour and Frontier Molecular Orbitals (FMOs)<br><strong>3)</strong> Molecular Docking method in water phase.<br><br><strong>What the research is about:</strong><br>The research is to investigate the structural, electronical and biological properties of theobromine and their tautomers and Ruthenium and Osmium complexes. This is to study their anti-cancer activity. This research is done to find out about other metals than Pt to be used as drug to treat cancer. <br><br><strong>Photos</strong>: <a href="https://drive.google.com/drive/folders/13H88f3lZt-NJmTWARkraPUyWDgaU8w6u?usp=sharing">https://drive.google.com/drive/folders/13H88f3lZt-NJmTWARkraPUyWDgaU8w6u?usp=sharing</a>&nbsp;</div>]]></description>
         <enclosure url="https://www.sciencedirect.com/science/article/pii/S1386142517309861?via%3Dihub" />
         <pubDate>2018-02-14 16:28:43 UTC</pubDate>
         <guid>https://padlet.com/aliflatif1/qou8pxob2z6n/wish/231574430</guid>
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         <title>Nurul Syazwani Azyan Zairul Akmal 182192</title>
         <author></author>
         <link>https://padlet.com/aliflatif1/qou8pxob2z6n/wish/231574902</link>
         <description><![CDATA[<div><br></div><h1><br></h1><h1><strong>Computational insights for the hydride transfer and distinctive roles of key residues in cholesterol oxidase&nbsp;</strong></h1><h1>&nbsp;</h1><div>Li-Juan Yu, Emily Golden, Nanhao Chen, Yuan Zhao, Alice Vrielink &amp; Amir Karton (2017)<br><br>A number of experimental studies investigated the structure and catalytic mechanism of ChOx over the past two decades. The active site of ChOx is shown. With regard to the enzymatic mechanism, Sampson <em>et al</em>. identified three residues (Glu361, His447, and Asn485) that are significant for the enzymatic activity and Vrielink <em>et al</em>.<a href="https://www.nature.com/articles/s41598-017-17503-x#ref-CR4"><sup>4</sup></a><sup>,</sup><a href="https://www.nature.com/articles/s41598-017-17503-x#ref-CR5"><sup>5</sup></a> revealed that Gly120 also plays an important role in the catalytic mechanism.<br>The method used is the <strong>QM/MM MD simulations. </strong>Development and applications of combined QM/MM methods for enzymes have been extensively reviewed in the past. In order to obtain the barrier height of the hydride transfer, QM/MM MD simulations have been carried out for this enzyme, considering the influence from the surrounding residues to the reaction site. Then,<strong> high-level double-hybrid DFT simulations. </strong>High-level DHDFT calculations using the B2GP-PLYP functional were performed in order to obtain accurate reaction energies and barrier heights of the hydride transfer from the C3 atom of the substrate to the N5 atom of the FAD cofactor.<br><br></div><div><br><br></div>]]></description>
         <enclosure url="https://www.nature.com/articles/s41598-017-17503-x#Sec9" />
         <pubDate>2018-02-14 16:29:27 UTC</pubDate>
         <guid>https://padlet.com/aliflatif1/qou8pxob2z6n/wish/231574902</guid>
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         <title>Muhammad Faizuddin Bin Abdul Razak</title>
         <author></author>
         <link>https://padlet.com/aliflatif1/qou8pxob2z6n/wish/231779959</link>
         <description><![CDATA[<div>184743<br><br></div><h1><strong>A new hybrid exchange–correlation functional using the Coulomb-attenuating method (CAM-B3LYP)</strong></h1><div><br></div><div>Takeshi Yanai, David P Tew, Nicholas C Handy<br>21 July 2004<br><br><strong>-</strong>A new hybrid exchange–correlation functional named CAM-B3LYP is proposed. It combines the hybrid qualities of B3LYP and the long-range correction presented by Tawada et al. [J. Chem. Phys., in press]. We demonstrate that CAM-B3LYP yields atomization energies of similar quality to those from B3LYP, while also performing well for charge transfer excitations in a dipeptide model, which B3LYP underestimates enormously. The CAM-B3LYP functional comprises of 0.19 Hartree–Fock (HF) plus 0.81 Becke 1988 (B88) exchange interaction at short-range, and 0.65 HF plus 0.35 B88 at long-range. The intermediate region is smoothly described through the standard error function with parameter 0.33<br><br><strong>-</strong>Coulomb-attenuating method<br><br><strong>-</strong>URL :<br><a href="https://www.sciencedirect.com/science/article/pii/S0009261404008620">https://www.sciencedirect.com/science/article/pii/S0009261404008620</a><br><br></div><div><br><br></div>]]></description>
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         <pubDate>2018-02-15 03:40:16 UTC</pubDate>
         <guid>https://padlet.com/aliflatif1/qou8pxob2z6n/wish/231779959</guid>
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         <title>MOHAMAD SHAFIQ BIN MOHD SUKRI 181872              </title>
         <author></author>
         <link>https://padlet.com/aliflatif1/qou8pxob2z6n/wish/231804502</link>
         <description><![CDATA[<div><br><strong>Computational modeling of drug transport across the in vitro cornea</strong><br><br>Pak, J., Chen, Z. J., Sun, K., Przekwas, A., Walenga, R., &amp; Fan, J. (2018). <br><br>- The cornea presents a unique barrier design and opportunity for investigation using Q3D modeling<br><br>- A novel quasi-3D (Q3D) modeling approach was developed to model an interconnected stack of different corneal tissue layers with membrane junction conditions assigned between the tissues.<br><br> - Lipophilic Rhodamine B and hydrophilic fluorescein were used as drug analogs. <br><br>- The model predictions for both hydrophilic and lipophilic tracers were able to match the experimental measurements along with the sharp discontinuities at the epithelium-stroma and stroma-endothelium interfaces. <br><br><br><br></div>]]></description>
         <enclosure url="https://www.sciencedirect.com/science/article/pii/S0010482517303797" />
         <pubDate>2018-02-15 07:50:06 UTC</pubDate>
         <guid>https://padlet.com/aliflatif1/qou8pxob2z6n/wish/231804502</guid>
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         <title>NUR FADHILAH JOHARI (184639</title>
         <author></author>
         <link>https://padlet.com/aliflatif1/qou8pxob2z6n/wish/231893019</link>
         <description><![CDATA[<div>T<strong>itle</strong> : <em>In silico</em> toxicology: computational methods for the prediction of chemical toxicity<br><strong>Year</strong> : 6 January 2016</div><div><strong>Author</strong> : Arwa B. Raeis, Vladimir B. Bajic<br><strong>Method</strong> : &nbsp;<em>in silico</em> toxicologymethods<br><strong>What the research about </strong>: <br>1)Determining the toxicity of chemicals to identify their harmful effects on humans, animals, plants, or the environment<br>2)<em>In silico</em> toxicology aims to complement existing toxicity tests to predict toxicity, prioritize chemicals, guide toxicity tests, and minimize late-stage failures in drugs design<br>3)The Tox-21c stresses replacing animal testing with human-relevant testing methods, either <em>in vitro</em> or <em>in silico<br></em><strong><em>url</em></strong><em> :&nbsp; </em><a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4785608/"><em>https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4785608/</em></a></div>]]></description>
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         <pubDate>2018-02-15 13:58:46 UTC</pubDate>
         <guid>https://padlet.com/aliflatif1/qou8pxob2z6n/wish/231893019</guid>
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         <title>NURUL NAJIHAH BINTI MOHAMMAD (182822)</title>
         <author></author>
         <link>https://padlet.com/aliflatif1/qou8pxob2z6n/wish/232213885</link>
         <description><![CDATA[<div><strong>Title</strong>: Prediction of quartz crystal microbalance gas sensor responses using a computational chemistry method <br><strong>Author</strong>: K.Nakamura, T.Nakamoto and T.Moriizumi<br><strong>Date</strong>: 14 December 1999<br><strong>What the research is about</strong>:<br>The research is for predicting the quartz crystal microbalance (QCM) gas sensor responses using computational chemistry method and the grand canonical Monte Carlo (GCMC) method. They also tried to calculate the amounts of sorption of gas molecules such as alcohols, aromatics, ketones, esters, alkanes and perfumes into the sensing films. Next, the research is to compare the predicted partition coefficients of alcohols, aromatics, ketones, esters, alkanes and perfumes for typical GC films with the experimental ones. <br><br><strong>Computational Methods</strong>:<br>1) Using Cerius2 (BIOSYM/MSI, Cerius2) for the simulation <br>2) The computer used for the calculation was Indigo2, Silicon Graphics <br>3) The GCMC (grand canonical Monte Carlo) method was used for the sorption simulation <br><strong>URL</strong>: <a href="https://doi.org/10.1016/S0925-4005(99)00071-4">https://doi.org/10.1016/S0925-4005(99)00071-4</a><br><br><br></div>]]></description>
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         <pubDate>2018-02-16 02:37:14 UTC</pubDate>
         <guid>https://padlet.com/aliflatif1/qou8pxob2z6n/wish/232213885</guid>
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         <title>KU AIDA SUZIANA BT KU JAMALUDDIN (182227)</title>
         <author></author>
         <link>https://padlet.com/aliflatif1/qou8pxob2z6n/wish/232250975</link>
         <description><![CDATA[<div><strong>Title:</strong> The impact of protein interaction networks' characteristics on computational complex detection methods. <br><strong>Author:</strong> Xiaoxia Liu, Zhihao Yang, Ziwei Zhou, Yuanyuan Sun, Hongfei Lin, Jian Wang and Bo Xu.<br><strong>Year:</strong> 2018<br><strong>Date available online:</strong> 5 December 2017<br><br><strong>What the research is about:</strong><br><br>*Analyze the biological and topological characteristics of multiple PPI networks.<br>*Compare the performances of six classic computational complex detection methods on the protein interaction networks.<br>*Relations between the complex detection method and characteristics of PPI datasets (which may be useful to improve the performance in protein complex detection area).<br>*Change topological characteristics of PINs by adding protein characteristics of PINs with performances of protein detection methods.<br>*Compare the complexes detected by two different methods and the real complex in order to clearly describe the difference between two methods as well as locate the proteins not detected by either method.<br><br><strong>Computational</strong> <strong>Method use:</strong><br>1) MCODE (Molecular Complex Detection)<br>2) MCL (Markov Clustering): to detect functional modules and protein complexes.<br>3) CMC (Clustering based on merging Maximal Cliques)<br>4) RRW: discover protein complexes within large-scale protein networks.<br>5) ClusterONE (Clustering with Overlapping Neighborhood Expansion): predicts overlapping protein complexes.<br>6) COACH: detects protein complexes based on core-attachment structure of complex in two stages. <br><br><strong>URL:<br></strong><a href="https://www.sciencedirect.com/science/article/pii/S0022519317305362"><strong>https://www.sciencedirect.com/science/article/pii/S0022519317305362</strong></a><strong><br><br>PHOTOS:<br></strong><br></div>]]></description>
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         <pubDate>2018-02-16 08:38:10 UTC</pubDate>
         <guid>https://padlet.com/aliflatif1/qou8pxob2z6n/wish/232250975</guid>
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         <title>NURUL ATIQAH BINTI AZAHARI ( 181850 )</title>
         <author></author>
         <link>https://padlet.com/aliflatif1/qou8pxob2z6n/wish/232343504</link>
         <description><![CDATA[<div><strong>Title:</strong> Mineral surface chemistry control for origin of prebiotic peptides<br><strong>Author:</strong>Valentina Erastova,Matteo T.Degiacomi,Donald G.Fraser and H.Chris Greenwell<br><strong>Date:</strong>11 December 2017<strong><br>What the research about :<br></strong>They carry out a large scale computational modeling study of interactions between amino acids and LDHs under reducing early Earth conditions. Their LDH layers have the composition of [Mg<sub>3</sub>Al(OH)<sub>8</sub>]<sup>+</sup>, while interacting with amino acids and peptides are deprotonated at pH 9.5. For this study, they chose a variety of amino acids (alanine, aspartate, leucine, lysine, histidine, and tyrosine), their mixtures, di- and hexa- peptides, and a randomly created 24-amino-acid-long peptides from the amino acid distributions mimicking naturally occurring ones. Besides,they explored the conceptual challenges associated with the formation of proto -biopolymers on mineral surfaces using the example of oligopeptides and amino acids at LDH surfaces.Some of the results obtained were intercalation of amino acids affects LDH layer dynamics, amino acids and peptides adsorb on LDHs via their C-termini,arrangement of adsorbed species is templated by LDH structure, LDHs promote amino acid polymerization ,peptide bond formation on LDHs is energetically favorable, and adsorbed amino acids and peptides diffuse on LDH surface.<strong><br>Computational Methods:</strong><br>1)Molecular dynamics simulations were performed with GROMACS 4.6.7<br>2)DBSCAN clustering algorithm<br>3)The radial distribution function (RDF) and the C-terminal atoms of the amino acids using LDH aluminum as reference.<br>4) The snapshots were produced with VMD 1.9.1 and graphs were produced with Matplotlib<br>5)The quantum calculations were performed with CASTEP<br>6)Developed a kinetic model to describe the process of peptide formation assisted by the LDH interlayer<br>7)Molecular models set-up<br><br><strong>URL:</strong><br><a href="https://www.nature.com/articles/s41467-017-02248-y#Fig1">https://www.nature.com/articles/s41467-017-02248-y#Fig1</a><br><br><strong><br></strong><br><br></div>]]></description>
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         <pubDate>2018-02-16 14:39:05 UTC</pubDate>
         <guid>https://padlet.com/aliflatif1/qou8pxob2z6n/wish/232343504</guid>
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         <title>NUR SYAZWANI RAIF (182105)</title>
         <author></author>
         <link>https://padlet.com/aliflatif1/qou8pxob2z6n/wish/232378565</link>
         <description><![CDATA[<div>&nbsp;</div><div><strong>MOEPGA: A novel method to detect protein complexes in yeast protein–protein interaction networks based on MultiObjective Evolutionary Programming Genetic Algorithm</strong><br> <strong>Author:</strong> Buwen Caoa, Jiawei Luoa, Cheng Lianga, Shulin Wanga, Dan Song<br> <strong>Year:</strong> 2015<br> <strong>Date available online: </strong>7 July 2015&nbsp;</div><div><strong>Method: </strong>MultiObjective Evolutionary Programming Genetic Algorithm (MOEPGA)&nbsp;</div><div>&nbsp;<br><strong>What the research is about:</strong></div><div>A novel MultiObjective Evolutionary Programming Genetic Algorithm (MOEPGA) which integrates multiple network topological features to detect biologically meaningful protein complexes. It is first systematically analyzes the multiobjective problem in terms of identifying protein complexes from PPI networks, and then constructs the objective function of the iterative algorithm based on three common topological properties of protein complexes from the benchmark dataset, finally describe algorithm, which mainly consists of three steps, population initialization, subgraph mutation and subgraph selection operation. To show the utility of this method, MOEPGA is compared with several state-of-the-art algorithms on two yeast PPI datasets. The experiment results demonstrate that the proposed method can not only find more protein complexes but also achieve higher accuracy in terms of <em>fscore</em>. Moreover, it cover a certain number of proteins in the input PPI network in terms of the normalized clustering score and&nbsp; can serve as a powerful framework to detect protein complexes in yeast PPI networks, thereby facilitating the identification of the underlying biological functions <br>Link : <a href="https://ac.els-cdn.com/S1476927115300517/1-s2.0-S1476927115300517-main.pdf?_tid=b6b6a5d2-132c-11e8-9980-00000aacb35e&amp;acdnat=1518794520_f41bb46d6e6de7430212894ec3d88573">https://ac.els-cdn.com/S1476927115300517/1-s2.0-S1476927115300517-main.pdf?_tid=b6b6a5d2-132c-11e8-9980-00000aacb35e&amp;acdnat=1518794520_f41bb46d6e6de7430212894ec3d88573<br></a><br></div>]]></description>
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         <pubDate>2018-02-16 15:42:24 UTC</pubDate>
         <guid>https://padlet.com/aliflatif1/qou8pxob2z6n/wish/232378565</guid>
      </item>
      <item>
         <title>NURUL ASILAH BT ZULKIFLI (183817)</title>
         <author></author>
         <link>https://padlet.com/aliflatif1/qou8pxob2z6n/wish/232409948</link>
         <description><![CDATA[<div><strong>TITLE:</strong> A computational chemistry perspective on the current status and future direction of hepatitis B antiviral drug discovery<br><strong>AUTHOR:  </strong>Morgnanesi D, Heinrichs EJ, Mele AR, Wilkinson S, Zhou S, Kulp JL 3rd.</div><div><strong>DATE AVAILABLE ONLINE:</strong> 23 Oct 2015<br><strong>WHAT THE RESEARCH ABOUT:<br>1) </strong>Three computational techniques most commonly used in HBV research are homology modeling, molecular docking, and molecular dynamics.<br>2) Homology modeling used to predict protein structure and to construct conformers of the viral polymerase and the HBV X protein. <br>3) Molecular docking is used to predict the most likely orientation of a ligand when it is bound to a protein, as well as determining an energy score of the docked conformation. <br>4) Molecular dynamics is a simulation that analyzes biomolecule motions and determines conformation and stability patterns. <br>5) All of these modeling techniques have aided in the understanding of resistance mutations on HBV non-nucleos(t)ide reverse-transcriptase inhibitor binding<br><br></div><div><strong>METHODS: </strong>homology modeling, molecular docking, and molecular dynamics.<br><strong>URL:</strong> <a href="https://www.ncbi.nlm.nih.gov/pubmed/26477294">https://www.ncbi.nlm.nih.gov/pubmed/26477294</a>  <br><br></div>]]></description>
         <enclosure url="" />
         <pubDate>2018-02-16 16:41:39 UTC</pubDate>
         <guid>https://padlet.com/aliflatif1/qou8pxob2z6n/wish/232409948</guid>
      </item>
      <item>
         <title>WAN NOR AZWANI BT WAN KHALIT (181680)</title>
         <author></author>
         <link>https://padlet.com/aliflatif1/qou8pxob2z6n/wish/232422935</link>
         <description><![CDATA[<div><strong>Computational methods to design cyclic peptides<br></strong><br></div><div>By: Sean M McHugh, Julia R Rogers, Sarah A Solomon, Hongtao Yu, Yu-Shan Lin<br><br></div><div>1 September 2016<br><br></div><div>About: Cyclic peptides (CPs) are promising modulators of protein–protein interactions (PPIs), but their application remains challenging. It is currently difficult to predict the structures and bioavailability of CPs. The ability to design CPs using computer modeling would greatly facilitate the development of CPs as potent PPI modulators for fundamental studies and as potential therapeutics. Herein, computational methods are used to generate CP libraries for virtual screening, as well as current efforts to accurately predict the conformations adopted by CPs. These advances are making it possible to envision robust computational design of active CPs. However, unique properties of CPs pose significant challenges associated with sampling CP conformational space and accurately describing CP energetics. These major obstacles to structure prediction likely must be solved before robust design of active CPs can be reliably achieved.<br><strong>Computational methods:<br></strong>1)  Peplook, PEPstrMOD, PEP-FOLD, and I-TASSER ( determine conformations)</div><div>2) Molecular mechanics (to characterize the structural ensembles of CPs)</div><div>3) Macro Model (Macro Model, Schrodinger), MOE (MOE, Chemical Computing Group)<br><br>url: https://doi.org/10.1016/j.cbpa.2016.08.004</div><div> <br><br></div>]]></description>
         <enclosure url="https://padlet-uploads.storage.googleapis.com/264573541/0bf0d657bdbb46752c876d04ead40917/image.png" />
         <pubDate>2018-02-16 17:10:53 UTC</pubDate>
         <guid>https://padlet.com/aliflatif1/qou8pxob2z6n/wish/232422935</guid>
      </item>
      <item>
         <title>AINA SAFURA BT MOHD ASRI (181735)</title>
         <author></author>
         <link>https://padlet.com/aliflatif1/qou8pxob2z6n/wish/232581058</link>
         <description><![CDATA[<div><strong>Title</strong> :  New Optimization Method for Conformational Energy Calculations on Polypeptides: Conformational Space Annealing <br><strong>Author</strong> :  Jooyoung L., Harold A.S., &amp; Rackovsky S. <br><strong>Date </strong> : 8 January 1997<br><strong>Method</strong> : Optimization method<br><strong>What the research is about</strong> : <br>The novel aspect of the proposed CSA method is to keep track of many ‘‘distinct’’ local minima that are designed to be distributed as far apart as possible in the conformational space.  The CSA method maintains diversity in the bank by setting the value of D large cut enough at the beginning of the algorithm and slowly reducing it, hence conformational space annealing, and by selecting a new seed conformation significantly far away in the conformational space from the previous one.<br><strong>URL</strong> :  <a href="http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.385.2677&amp;rep=rep1&amp;type=pdf">http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.385.2677&amp;rep=rep1&amp;type=pdf</a><br><br></div>]]></description>
         <enclosure url="https://padlet-uploads.storage.googleapis.com/220222975/30c48da92d25306ff76b9165997a406a/image.png" />
         <pubDate>2018-02-17 13:51:55 UTC</pubDate>
         <guid>https://padlet.com/aliflatif1/qou8pxob2z6n/wish/232581058</guid>
      </item>
      <item>
         <title>HAZIRAH BINTI SHARIRUZI (182163)</title>
         <author></author>
         <link>https://padlet.com/aliflatif1/qou8pxob2z6n/wish/232691761</link>
         <description><![CDATA[<div><strong>TITLE:&nbsp;</strong></div><h1>Computational chemistry study of solid and aqueous solution interface</h1><div><strong>AUTHOR: </strong>&nbsp;Ugur Mart , Changho Jung , Michihisa Koyama , Momoji Kuboa , Akira Miyamoto <br><strong>DATE AVAILABLE ONLINE: </strong>7 January 2005<br><strong>METHOD: </strong>Density functional theory and molecular dynamic<br><strong>WHAT THE</strong> <strong>RESEARCH IS ABOUT: <br>1) </strong>Investigate and compare the ionic properties of monovalent metal ions on the hydration behavior and adsorption mechanisms at the solid–aqueous solution interface. <br><strong>2) </strong>Understand how water molecules behave on an oxide surface in an electrolytic solution, and how the interatomic interactions compete to arrange the molecules.<br><strong>3)</strong>&nbsp;An MgO cluster model, which includes nine Mg and nine O atoms, was used in order to investigate the interaction of hydrated cations with oxide surface. <br><strong>4) </strong>Hydration of monovalent metal ions (Li+ , Na+ , K+ and Cs+ ) was carried out by aligning five water molecules initially around the cation to analyze how water molecules interact with single cation depending on its structure-making or structure-breaking behavior. <br><strong>URL: </strong><a href="https://ac.els-cdn.com/S0169433204018082/1-s2.0-S0169433204018082-main.pdf?_tid=f96c0d74-14b5-11e8-8d64-00000aacb35f&amp;acdnat=1518963424_5a76ae0650e8fb57d8e2a1df2c7b36a7"><strong>https://ac.els-cdn.com/S0169433204018082/1-s2.0-S0169433204018082-main.pdf?_tid=f96c0d74-14b5-11e8-8d64-00000aacb35f&amp;acdnat=1518963424_5a76ae0650e8fb57d8e2a1df2c7b36a7</strong></a></div>]]></description>
         <enclosure url="https://padlet-uploads.storage.googleapis.com/263801985/c193d1d041fdbbfae9670f784a78ae49/kimkom2.jpg" />
         <pubDate>2018-02-18 14:12:44 UTC</pubDate>
         <guid>https://padlet.com/aliflatif1/qou8pxob2z6n/wish/232691761</guid>
      </item>
      <item>
         <title>NURUL SYAZWANEE ZULKIFLI (182475</title>
         <author></author>
         <link>https://padlet.com/aliflatif1/qou8pxob2z6n/wish/232708559</link>
         <description><![CDATA[<div><strong>TITLE:</strong></div><h1>Experimental and computational study of membrane affinity for selected energetic compounds.</h1><div><strong>AUTHORS:<br></strong>Golius A, Gorb L, Scott A.M, Hill F.C, Manoj Shukla, Goins A.B, Johnson D.R, Leszczynski J.<br><strong>DATE AVAILABLE ONLINE:</strong><br>25 January 2016<br><strong>METHOD:</strong><br>Quantitative Structure – Activity (Property) Relationships (QSAR/QSPR) <br><strong>WHAT THE RESEARCH&nbsp; IS ABOUT:</strong><br><strong>1.</strong> The affinity of various energetic compounds for a biological membrane was investigated using experimental and computational techniques. We measured octanol–water (log(K<sub>ow</sub>)) and liposome–water (log(K<sub>lipw</sub>)) partition coefficients for the following chemicals: trinitrotoluene (TNT), 2,4-dinitrotoluene (2,4-DNT), 2,6-dinitrotoluene (2,6-DNT), 2,4-dinitroanisole (DNAN), 2methoxy-5-nitrophenol (2M5NP), 2,4,6-trinitrobenzene (TNB), and 2,4-dinitrophenol (2,4-DNP). In order to determine log(K<sub>lipw</sub>) experimentally, we used artificial solid supported lipid liposomes produced under trade mark TRANSIL. Log(K<sub>ow</sub>) value were predicted with several program packages including the COSMOthermX software. Log(K<sub>lipw</sub>) were estimated with COSMOmic as implemented in the COSMOthermX program package.<br><strong>2</strong>. To characterize the ability of a substance to bioaccumulate is to consider the partition coefficient between water and a lipid pool i.e. biological membrane. In its simplest form, bioconcentration has been characterized as the ratio of the equilibrium concentrations of a chemical (solute) that partitions between n-octanol (representing the lipid fraction) and water.<br><strong>3</strong>. To improve the ease and repeatability of bioconcentration measurements, recently test membranes comprised of a class of artificial membrane vesicles made up from phospholipids (liposomes) were synthesized and made commercially available.<br><strong>URL</strong>:<br><a href="https://www.sciencedirect.com/science/article/pii/S0045653516300108">https://www.sciencedirect.com/science/article/pii/S0045653516300108</a><strong><br></strong><br></div>]]></description>
         <enclosure url="" />
         <pubDate>2018-02-18 16:10:26 UTC</pubDate>
         <guid>https://padlet.com/aliflatif1/qou8pxob2z6n/wish/232708559</guid>
      </item>
      <item>
         <title>MUHAMMAD NAIM BIN MOHD AZAHARI (182870)</title>
         <author></author>
         <link>https://padlet.com/aliflatif1/qou8pxob2z6n/wish/232917038</link>
         <description><![CDATA[<div><strong>TITLE :</strong></div><h1>Size dependence of graphene chemistry: A computational study on CO desorption reaction</h1><div><strong>AUTHORS :</strong><br>Buu Q. Pham, Vu H. Nguyen, Thanh N. Truong<br><strong>DATE AVAILABLE ONLINE :<br></strong> 12 January 2016</div><div><strong>METHOD :</strong><br>Density Functional Theory<br><strong>WHAT THE RESEARCH IS ABOUT :<br>1. </strong>The size-dependent chemistry of CO desorption from graphene ribbons was systematically studied using Density Functional Theory. <br><strong>2. T</strong>wo aspects of the size dependence were examined, namely the energy gap between the electronic low spin ground state and its high spin excited state and the fluctuation of the energy profiles of CO desorption reactions in the ground state. <strong><br>3. </strong>To study the  effects of physical size on the relative barriers and stabilities of reaction intermediates along the CO desorption channel could be attributed to the disruption of π-conjugation of the graphene ribbon surface.<br><strong>URL :<br></strong><a href="https://ezproxy.upm.edu.my:2060/science/article/pii/S0008622316300288"><strong>https://ezproxy.upm.edu.my:2060/science/article/pii/S0008622316300288</strong></a><strong><br></strong><br></div>]]></description>
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         <pubDate>2018-02-19 13:44:18 UTC</pubDate>
         <guid>https://padlet.com/aliflatif1/qou8pxob2z6n/wish/232917038</guid>
      </item>
      <item>
         <title>NUR ATHIRAH BINTI IBRAHIM (184623</title>
         <author></author>
         <link>https://padlet.com/aliflatif1/qou8pxob2z6n/wish/233014148</link>
         <description><![CDATA[<div><strong>TITLE :&nbsp;</strong></div><h1>Structural and computational study on inhibitory compounds for endonuclease activity of influenza virus polymerase</h1><div><strong>AUTHORS : </strong>&nbsp;Satoshi Fudo, Norio Yamamoto, Michiyoshi Nukaga, Takato Odagiri, Masato Tashiro, Saburo Neya Tyuji Hoshino <br>DATE AVAILABLE ONLINE : <br>29 July 2015<br><strong>METHOD :</strong><br>--Molecular dynamics simulation<br>--ONIOM method implemented in Gaussian09<br>--UFF<br>--A general AMBER force field (GAFF)<br><strong>WHAT THE RESEARCH IS ABOUT: <br>1. </strong>The binding mode of one of the inhibitory compounds to PA<sub>N</sub> was investigated in detail by means of X-ray crystal structure analysis and molecular dynamics (MD) simulation.<br>It was observed in the crystal structure that three molecules of the same kind of inhibitor were bound to one PA<sub>N</sub>. <br><strong>2.</strong> The last binding site was not observed in previous crystallographic studies. Hence, the stability of inhibitor binding was examined by performing 100-ns MD simulation.<br><strong>3.</strong> During the MD simulation, the three inhibitor molecules fluctuated at the respective binding sites at different amplitudes, while all of the molecules maintained interactions with the protein. <br><strong>4. </strong>&nbsp;The changes in binding mode are consistent with the results of calculation for binding free energy, in which molecule <strong>1C</strong> had the lowest value, and with the fact that electron density was most clearly observed for molecule <strong>1C</strong> in the crystal structure. <br><strong>URL : </strong><a href="https://www.sciencedirect.com/science/article/pii/S0968089615006306"><strong>https://www.sciencedirect.com/science/article/pii/S0968089615006306</strong></a></div>]]></description>
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         <pubDate>2018-02-19 18:24:15 UTC</pubDate>
         <guid>https://padlet.com/aliflatif1/qou8pxob2z6n/wish/233014148</guid>
      </item>
      <item>
         <title>ANIS BINTI ABDUL GHANI  (181851)</title>
         <author></author>
         <link>https://padlet.com/aliflatif1/qou8pxob2z6n/wish/233212870</link>
         <description><![CDATA[<div><strong>TITLE:</strong><br> Mg co-ordination with potential carcinogenic molecule acrylamide: Spectroscopic, computational and cytotoxicity studies <br><br><strong>DATE AVAILABLE ONLINE: </strong>27 October 2017 <br><strong>AUTHORS: </strong>Kamran Dastafkana, Armin Kianib, Ali Obeydavia, Mohammad Rahimic<br><br><strong>COMPUTATIONAL METHOD: </strong><br>- DFT method<br>- TD-DFT method<br>- Polarisable continuum model (PCM) <br><br><strong>WHAT IS RESEARCH ABOUT?<br>1. </strong>&nbsp;The research is about synthesis Acr-Mg complex and characterized it and identify the binding site of Acr and Mg.In order to identify the binding sites of acr with Mg, Mg complex of acr has been synthesized using magnesium nitrate and acr as the starting material.<br>2. three sample which are pure Acr,&nbsp; magnesium nitrate and Acr-Mg is used to detect and measure the level of toxicity<br>3. <em>In-vitro </em>cytotoxicity studies revealed significant decrease in the toxic level of acr-Mg complex as compared to pure acr.<br>Cyto-toxicity studies of acr, magnesium nitrate and acr-magnesium (acr-Mg) complex were also carried out. teh Acr-Mg complex is less cyto-toxic than Acr and Magnesium nitrate when they are at same concentration<br>4.the toxicity studies have been also carried out by MTT assay against MDA-MB-231 human breast cancer cell line. the acr-Mg complex were observed with decreace in toxicity compared to pure acr.<br><br>url :<strong><br></strong><a href="https://www.sciencedirect.com/science/article/pii/S0022286017314539"><strong>https://www.sciencedirect.com/science/article/pii/S0022286017314539</strong></a><strong><br><br></strong><figure class="attachment attachment--preview" data-trix-attachment="{&quot;contentType&quot;:&quot;image&quot;,&quot;height&quot;:245,&quot;url&quot;:&quot;https://ars.els-cdn.com/content/image/1-s2.0-S0022286017314539-fx1.jpg&quot;,&quot;width&quot;:275}" data-trix-content-type="image"><img src="https://ars.els-cdn.com/content/image/1-s2.0-S0022286017314539-fx1.jpg" width="275" height="245"><figcaption class="attachment__caption"></figcaption></figure><strong><br></strong><br></div>]]></description>
         <enclosure url="" />
         <pubDate>2018-02-20 11:57:04 UTC</pubDate>
         <guid>https://padlet.com/aliflatif1/qou8pxob2z6n/wish/233212870</guid>
      </item>
      <item>
         <title>NUR SHAZWANI BT AB KADIR (182145)</title>
         <author></author>
         <link>https://padlet.com/aliflatif1/qou8pxob2z6n/wish/233258744</link>
         <description><![CDATA[<div><strong>TITLE: </strong><br>Computational methods to dissect gene regulatory networks in cancer.<br><br><strong>AUTHORS:</strong><br>Archana S. Iyer, Hatice U. Osmanbeyoglu, Christina S. Leslie.<br>DATE :<br>21 APRIL 2017<br><br><strong>METHOD:</strong><br>-Network inference method.<br>-Network diffusion method.<br>-MutSIG and GISTIC method.<br>-Integrative mutation / CNV analysis method.<br>- Cross- cutting methods.<br><br><strong>WHAT THE RESEARCH IS ABOUT?<br></strong>1. The research is about diverse computational methodologies that have sought to interpret somatic alterations and genes expression data through models of gene regulatory networks.<br>2. The development of these approaches have been divided into four categories.<br>a- network inference based on gene expression data.<br>b- Interpretation of genetic alterations with respect to a prior network.<br>c- Network integration of cis regulatory information with tumor gene expression.<br>d- Cross-cutting algorithms that link changes in upstream signaling, through a prior network or proteomics data, to downstream transcriptional programs and thus decipher the regulatory impact of somatic alterations.<br><br>URL :<br><a href="https://www.sciencedirect.com/science/article/pii/S2452310017300793">https://www.sciencedirect.com/science/article/pii/S2452310017300793</a><br><br><br><br>&nbsp;<br><br></div>]]></description>
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         <pubDate>2018-02-20 14:02:19 UTC</pubDate>
         <guid>https://padlet.com/aliflatif1/qou8pxob2z6n/wish/233258744</guid>
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