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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/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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	<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>
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<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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  <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>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/31278/metapred2cs</guid>
	<pubDate>Fri, 03 Mar 2017 05:15:07 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/31278/metapred2cs</link>
	<title><![CDATA[MetaPred2CS]]></title>
	<description><![CDATA[<p style="text-align: justify;"><strong>MetaPred2CS Web server&nbsp;</strong>is a meta-predictor based on&nbsp;<a href="http://www.ncbi.nlm.nih.gov/pubmed/17160063">Support Vector Machine (SVM)</a>&nbsp;that combines 6 individual sequence based protein-protein interaction prediction methods to predict&nbsp;<strong>prokaryotic two-component system&nbsp;</strong>protein-protein interactions (PPIs). The methods implemented in MetaPred2CS are 2 co-evolutionary methods:&nbsp;<a href="http://www.ncbi.nlm.nih.gov/pubmed/11933068">in-silico two hybrid (i2h)</a>&nbsp;and&nbsp;<a href="http://www.ncbi.nlm.nih.gov/pubmed/11707606">mirror tree (MT)</a>&nbsp;methods and 4 genomics context based methods:&nbsp;<a href="http://www.ncbi.nlm.nih.gov/pubmed/15947018">phylogenetic profiling (PP)</a>,&nbsp;<a href="http://www.ncbi.nlm.nih.gov/pubmed/10573422">gene fusion (GF)</a>,&nbsp;<a href="http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.0030043">gene neighbourhood (GN)</a>&nbsp;and and&nbsp;<a href="http://www.ploscompbiol.org/article/info%3Adoi%2F10.1371%2Fjournal.pcbi.0030043">gene operon methods (GO)</a>.</p>
<p>&nbsp;http://metapred2cs.ibers.aber.ac.uk/</p><p>Address of the bookmark: <a href="https://github.com/martinjvickers/MetaPred2CS" rel="nofollow">https://github.com/martinjvickers/MetaPred2CS</a></p>]]></description>
	<dc:creator>Manisha Mishra</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/34744/foldit-solve-puzzles-for-science</guid>
	<pubDate>Thu, 21 Dec 2017 15:17:47 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/34744/foldit-solve-puzzles-for-science</link>
	<title><![CDATA[Foldit: Solve Puzzles for Science]]></title>
	<description><![CDATA[<p><span>Foldit</span><span>&nbsp;is an online puzzle video game about protein&nbsp;</span><span>folding. It</span><span>&nbsp;is part of an experimental research project developed by the University of Washington, Center for Game Science, in collaboration with the UW Department of Biochemistry. The objective of&nbsp;</span><span>Foldit</span><span>&nbsp;is to&nbsp;</span><span>fold</span><span>&nbsp;the structures of selected proteins as perfectly as possible</span></p>
<p>https://fold.it/portal/</p><p>Address of the bookmark: <a href="https://fold.it/" rel="nofollow">https://fold.it/</a></p>]]></description>
	<dc:creator>Robert M Willioms</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/44604/new-release-of-refseq</guid>
	<pubDate>Tue, 16 Jul 2024 10:09:21 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/44604/new-release-of-refseq</link>
	<title><![CDATA[New Release of RefSeq !]]></title>
	<description><![CDATA[<p>Check out RefSeq release 225, now available&nbsp;<a href="https://www.ncbi.nlm.nih.gov/refseq/?utm_source=ncbi_insights&amp;utm_medium=referral&amp;utm_campaign=refseq-release-225-20240715">online</a>&nbsp;and from the&nbsp;<a href="https://ftp.ncbi.nlm.nih.gov/refseq/release/">FTP</a>&nbsp;site. You can access RefSeq data through&nbsp;<a href="https://www.ncbi.nlm.nih.gov/datasets/?utm_source=ncbi_insights&amp;utm_medium=referral&amp;utm_campaign=refseq-release-225-20240715">NCBI Datasets</a>.</p><h5>What&rsquo;s included in this release?</h5><p>As of July 8, 2024, this full release incorporates genomic, transcript, and protein data containing:</p><ul>
<li><span>448,507,905 records</span></li>
<li><span>334,845,613 proteins</span></li>
<li><span>63,542,774 RNAs</span></li>
<li><span>Sequences from 152,668 organisms</span></li>
</ul><p>The release is provided in several directories as a complete dataset and also as divided by logical groupings.</p>]]></description>
	<dc:creator>Abhi</dc:creator>
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