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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/36395?offset=70</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41872/autodock-vina-an-open-source-program-for-doing-molecular-docking</guid>
	<pubDate>Sat, 13 Jun 2020 07:55:56 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41872/autodock-vina-an-open-source-program-for-doing-molecular-docking</link>
	<title><![CDATA[AutoDock Vina: an open-source program for doing molecular docking.]]></title>
	<description><![CDATA[<p><span>AutoDock Vina is an open-source program for doing&nbsp;</span><a href="http://en.wikipedia.org/wiki/Docking_(molecular)">molecular docking</a><span>. It was designed and implemented by&nbsp;</span><a href="http://olegtrott.com/">Dr. Oleg Trott</a><span>&nbsp;in the Molecular Graphics Lab at The Scripps Research Institute.</span>&nbsp;It is especially effective for protein-ligand docking. AutoDock 4 is available under the GNU General Public License. AutoDock is one of the most cited docking software applications in the research community.</p>
<p><img src="http://vina.scripps.edu/img/accuracy.png" width="352" height="264" alt="image" style="border: 0px;"></p>
<p><a href="http://vina.scripps.edu/">http://vina.scripps.edu/</a></p><p>Address of the bookmark: <a href="http://vina.scripps.edu/" rel="nofollow">http://vina.scripps.edu/</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/file/view/991/master-thesis-trans-membrane-topology-prediction-through-markov-based-decoders</guid>
	<pubDate>Wed, 17 Jul 2013 16:16:17 -0500</pubDate>
	<link>https://bioinformaticsonline.com/file/view/991/master-thesis-trans-membrane-topology-prediction-through-markov-based-decoders</link>
	<title><![CDATA[Master Thesis: Trans-membrane topology prediction through Markov based decoders]]></title>
	<description><![CDATA[<p dir="ltr"><span>Abstract:</span></p><p dir="ltr"><span></span><span>Background/Motivation: </span></p><p dir="ltr"><span>The dearth of structural information on alpha helical membrane protein (MPs) has hindered thus far the development of reliable knowledge &ndash;based potentials that can be used for automatic prediction of trans-membrane (TM) protein structure. While algorithm for identification of TM segments is available, modelling of the domains of alpha helical MPs involves assembling the segments into a bundle. This requires the correct assignment of the buried and lipid-exposed faces of the TM domains.</span><span>&nbsp;</span></p><p dir="ltr"><span>Results: </span><span><span><span>In a cross validated test on single sequences, our trans-membrane MM, correctly predicts the entire topology for 77% of the sequences in a standard dataset of 86 proteins with supervised topology. These results compare favorably with existing methods.</span></span></span><span>&nbsp;</span></p><p dir="ltr"><span><strong>Source Code</strong>: Matlab</span></p><p dir="ltr"><span></span><span>Conclusion/Implementation</span><span><span><span>: Here discriminant data mining approach was used to predict the location and orientation of alpha helices in membrane-spanning proteins. It is based on a first order Markov model (MM) with an architecture that corresponds closely to the biological systems. The model is enriched with three types of states for the loop on the cytoplasmic side (outer loop), loop for the non-cytoplasmic side (inner side), and trans-membrane part. The closed association between the biological and Markov states allows us to infer which part of the model architecture are important to capture the information which encodes the membrane topology, and gain a better understanding of the mechanism and constraints involved. Predictor Model was established by various &nbsp;Markov decoder , and assignment of the membrane helix boundaries was apparent.</span></span></span></p>]]></description>
	<dc:creator>Rahul Agarwal</dc:creator>
	<enclosure url="https://bioinformaticsonline.com/file/download/991" length="161792" type="application/vnd.ms-powerpoint" />
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/33660/equant-energy-based-quality-assessment-of-protein</guid>
	<pubDate>Sat, 24 Jun 2017 19:24:24 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/33660/equant-energy-based-quality-assessment-of-protein</link>
	<title><![CDATA[eQuant : energy-based quality assessment of protein]]></title>
	<description><![CDATA[<p><span>Protein structures are of varying quality. Especially,&nbsp;</span><em>in-silico</em><span>&nbsp;modeled structures are prone to contain serious errors, which limit the usefulness and reliability of these particular protein structures.</span><br><br><span>eQuant is a service for structure quality assessment of single proteins, which utilizes a coarse-grained energy model. The overall quality is calculated as well as the reliability of individual residues. You can submit single PDB files or archives containing a set of proteins.</span></p>
<p>https://biosciences.hs-mittweida.de/equant/</p><p>Address of the bookmark: <a href="https://biosciences.hs-mittweida.de/equant/" rel="nofollow">https://biosciences.hs-mittweida.de/equant/</a></p>]]></description>
	<dc:creator>Shruti Paniwala</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37669/strum-structure-based-prediction-of-protein-stability-changes-upon-single-point-mutation</guid>
	<pubDate>Mon, 10 Sep 2018 13:21:49 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37669/strum-structure-based-prediction-of-protein-stability-changes-upon-single-point-mutation</link>
	<title><![CDATA[STRUM: structure-based prediction of protein stability changes upon single-point mutation]]></title>
	<description><![CDATA[<p><span>STRUM is a method for predicting the fold stability change (&Delta;&Delta;G) of protein molecules upon single-point nsSNP mutations. STRUM adopts a gradient boosting regression approch to train the Gibbs free-energy changes on a variety of features at different levels of sequence and structure properties. The unique characteristics of STRUM is the combination of sequence profiles with low-resolution structure models from protein structure prediction, which helps enhance the robustness and accuracy of the method and make it applicable to various protein seqences, including those without experimental structures&nbsp;</span></p><p>Address of the bookmark: <a href="https://zhanglab.ccmb.med.umich.edu/STRUM/" rel="nofollow">https://zhanglab.ccmb.med.umich.edu/STRUM/</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41863/ppai-a-web-server-for-predicting-protein-aptamer-interactions</guid>
	<pubDate>Fri, 12 Jun 2020 07:26:23 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41863/ppai-a-web-server-for-predicting-protein-aptamer-interactions</link>
	<title><![CDATA[PPAI: a web server for predicting protein-aptamer interactions]]></title>
	<description><![CDATA[<p><span>PPAI can query aptamers and proteins, predict aptamers and predict protein-aptamer interactions in batch mode precisely and efficiently, which would be a novel bioinformatics tool for the research of protein-aptamer interactions. PPAI web-server is freely available at&nbsp;</span><a href="http://39.96.85.9/PPAI">http://39.96.85.9/PPAI</a></p><p>Address of the bookmark: <a href="http://39.96.85.9/PPAI/" rel="nofollow">http://39.96.85.9/PPAI/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/4295/rcsb-pdb-sept13-release</guid>
	<pubDate>Thu, 05 Sep 2013 15:07:48 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/4295/rcsb-pdb-sept13-release</link>
	<title><![CDATA[RCSB PDB Sept'13 Release]]></title>
	<description><![CDATA[<p>RCSB PDB Sept'13 Release offers following new features:</p><p>- New tools to search for drugs and drug targets<br />- Improved interface for 3D visualisation using Jmol/JSmol<br />- An update to the representation of protein symmetry and stoichiometry.<br />- Improvements when performing sequence searches.</p><p>Reference</p><p><a href="http://www.rcsb.org/pdb/static.do?p=general_information/whats_new.jsp?b=1308">http://www.rcsb.org/pdb/static.do?p=general_information/whats_new.jsp?b=1308</a></p><p>&nbsp;</p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/5210/sandelin-group</guid>
  <pubDate>Mon, 30 Sep 2013 19:12:58 -0500</pubDate>
  <link></link>
  <title><![CDATA[Sandelin group]]></title>
  <description><![CDATA[
<p>Sandelin group have a deep interest in most biology, but focus on gene regulation and the many areas that are connected with this, including transcriptomics, epigenetics and technological and informatics aspects.</p>

<p>The group is both computational and experimental.</p>

<p>We ask biological questions to large datasets made using novel genomics techniques, with the help of computers. One of the strengths in the group are the many connections to high-profile experimental laboratories which supply data to be analyzed.</p>

<p>Lab webpage @ http://people.binf.ku.dk/albin/Sandelin_group_at_the_Bioinformatic_Centre/The_Sandelin_group.html</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/7214/lapti-lab</guid>
  <pubDate>Thu, 12 Dec 2013 18:19:12 -0600</pubDate>
  <link></link>
  <title><![CDATA[LAPTI Lab]]></title>
  <description><![CDATA[
<p>The main theme of our research is the understanding of how genetic information is decoded from DNA into RNA and proteins. Someone may find this topic a little strange and argue that we already know how this is happening.</p>

<p>Translational recoding. </p>

<p>RNA editing. </p>

<p>Evolution of the genetic code and translation.</p>

<p>More at http://lapti.ucc.ie/research.html</p>

<p>Lab page http://lapti.ucc.ie/index.html</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/11603/ncbi-webinar</guid>
	<pubDate>Sun, 08 Jun 2014 02:47:01 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/11603/ncbi-webinar</link>
	<title><![CDATA[NCBI Webinar]]></title>
	<description><![CDATA[<p>In less than two weeks, NCBI will offer a webinar entitled "Introducing 3 NCBI Resources to Navigate Testing for Disease Linked Variants: MedGen, GTR and ClinVar". This webinar will delve into the lifecycle of genetic testing and teach attendees how to navigate the NIH Genetic Testing Registry, ClinVar, and MedGen resources. These resources can be used to prepare for clinical cases, access detailed information about orderable genetic tests, interpret test results, and more.</p><p>More at https://attendee.gotowebinar.com/register/8452228815737989634</p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/18820/jrfsrf-at-university-of-calcutta</guid>
  <pubDate>Fri, 31 Oct 2014 08:53:10 -0500</pubDate>
  <link></link>
  <title><![CDATA[JRF/SRF at University of Calcutta]]></title>
  <description><![CDATA[
<p>Applications are invited to appear at a walk-in-interview for one post of Junior Research Fellow in the DBT(DBT Twinning NER) sponsored project entitled “Protein folding kinetics is a selection force on shaping codon usage bias in the high expression genes” in the room of the HOD, Department of Biotechnology and the Coordinator, DR. B. C. Guha Centre for Genetic Engineering and Biotechnology, University College of Science, 35 Ballygunge Circular Road, Kolkata 700019 on the 12th November, 2014 at 3:00 p.m.</p>

<p>Essential qualifications: First class M. Sc. in any branch of life sciences and qualified CSIR-UGC NET/GATE Examination.</p>

<p>Desirable qualifications: Practical experience in biochemical and biophysical studies of proteins</p>

<p>Emoluments: as per DBT norms</p>

<p>The project is tenable for two years, initially for one year.</p>

<p>Age: Below 28 years (relaxable in the case of SC/ST/OBC/women candidates)</p>

<p>Candidates are requested to bring two sets of complete applications on plain paper furnishing bio-data and copies of attested certificates along with originals (for verification) on the date of interview.</p>

<p>No TA/DA is admissible for candidates appearing at the interview.</p>

<p>Dr. Rajat Banerjee<br />Assistant Professor<br />Department of Biotechnology and<br />Dr. B. C. Guha Centre for Genetic Engineering and Biotechnology<br />University College of Science<br />35, Ballygunge Circular Road<br />Kolkata 700019</p>

<p>Advertisement: www.caluniv.ac.in/news/jrf_biotech_2.pdf</p>
]]></description>
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