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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/38022?offset=10</link>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/pages/view/36392/protein-protein-interaction-sites-predictions</guid>
	<pubDate>Wed, 25 Apr 2018 04:53:20 -0500</pubDate>
	<link>https://bioinformaticsonline.com/pages/view/36392/protein-protein-interaction-sites-predictions</link>
	<title><![CDATA[Protein-Protein Interaction Sites Predictions !]]></title>
	<description><![CDATA[<p><span>The study of Protein&ndash;Protein Interactions (PPIs) has a crucial role in biology, medicine and the pharmaceutical industry. PPIs can be investigated from two aspects: The interaction partners of a specific protein and the amino acid residues participating in a given PPI. Information about a protein&rsquo;s interaction partners allows scientists to construct protein interaction networks, such as signaling pathways, which in turn facilitate the understanding of many biological and clinical observations.&nbsp;</span></p><p><span>Following are the list of tools commonly used to PPIs predictions:</span></p><p>Protein-Protein Interaction Sites</p><p><a href="http://pipe.scs.fsu.edu/ppisp.html" target="_blank">PPISP</a></p><p>A consensus neural network method for predicting protein-protein interaction sites</p><p><a href="http://biunit.naist.jp/homcos/" target="_blank">HOMCOS</a></p><p>A server to predict interacting protein pairs and interacting sites by homology modeling of complex structures</p><p><a href="http://prism.ccbb.ku.edu.tr/hotpoint/" target="_blank">HotPOINT</a></p><p>Prediction of protein interfaces using an empirical model</p><p><a href="http://cubic.bioc.columbia.edu/services/isis/" target="_blank">ISIS</a></p><p>Prediction of interaction hotspots from sequence</p><p><a href="http://kfc.mitchell-lab.org/" target="_blank">KFC server</a></p><p>Automated decision-tree approach to predicting protein-protein interaction hot spots</p><p><a href="http://pipe.scs.fsu.edu/meta-ppisp.html" target="_blank">meta-PPISP</a></p><p>A meta server for predicting protein-protein interaction sites. meta-PPISP is built on three individual web servers:&nbsp;<a href="https://bip.weizmann.ac.il/toolbox/structure/binding.htm#cons">cons-PPISP</a>,&nbsp;<a href="https://bip.weizmann.ac.il/toolbox/structure/binding.htm#pin">PINUP</a>, and&nbsp;<a href="https://bip.weizmann.ac.il/toolbox/structure/binding.htm#pro">Promate</a></p><p><a href="http://www.molsoft.com/oda.html" target="_blank">ODA</a></p><p>Identification of optimal surface patches with the lowest docking desolvation energy values</p><p><a href="http://sparks.informatics.iupui.edu/PINUP/" target="_blank">PINUP</a></p><p>Protein binding site prediction with an empirical scoring function</p><p>Other Sites (DNA, RNA, Metals)</p><p><a href="http://ligin.weizmann.ac.il/~lpgerzon/mbs4/mbs.cgi" target="_blank">CHED</a>&nbsp;</p><p>Web server for predicting soft metal binding sites in proteins</p><p><a href="http://cssb.biology.gatech.edu/skolnick/webservice/DBD-Hunter/" target="_blank">DBD-Hunter</a></p><p>A knowledge-based method for the prediction of DNA-protein interactions</p><p><a href="http://pipe.scs.fsu.edu/displar.html" target="_blank">DISPLAR</a></p><p>Given the structure of a protein known to bind DNA, the method predicts residues that contact DNA using neural network method</p><p><a href="http://idbps.tau.ac.il/" target="_blank">iDBPs</a></p><p>Predicts DNA binding proteins for proteins with known 3D structure.</p><p><a href="http://pfp.technion.ac.il/" target="_blank">PFplus</a></p><div style="text-align: left;">A tool for extracting and displaying positive electrostatic patches on protein surfaces which can be indicative of nucleic acid binding interfaces.</div>]]></description>
	<dc:creator>Poonam Mahapatra</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/39372/irnad-a-computational-tool-for-identifying-d-modification-sites-in-rna-sequence</guid>
	<pubDate>Thu, 16 May 2019 00:20:07 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/39372/irnad-a-computational-tool-for-identifying-d-modification-sites-in-rna-sequence</link>
	<title><![CDATA[iRNAD: a computational tool for identifying D modification sites in RNA sequence]]></title>
	<description><![CDATA[<p><span>iRNAD, for identifying D modification sites in RNA sequence. In this predictor, the RNA samples derived from five species were encoded by nucleotide chemical property and nucleotide density. Support vector machine was utilized to perform the classification.&nbsp;</span></p>
<p><span><a href="http://lin-group.cn/server/iRNAD/">http://lin-group.cn/server/iRNAD/</a></span></p><p>Address of the bookmark: <a href="http://lin-group.cn/server/iRNAD/" rel="nofollow">http://lin-group.cn/server/iRNAD/</a></p>]]></description>
	<dc:creator>Abhimanyu Singh</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/35543/genometools-the-versatile-open-source-genome-analysis-software</guid>
	<pubDate>Wed, 07 Feb 2018 10:44:18 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/35543/genometools-the-versatile-open-source-genome-analysis-software</link>
	<title><![CDATA[GenomeTools: The versatile open source genome analysis software]]></title>
	<description><![CDATA[<p>The&nbsp;<em>GenomeTools</em>&nbsp;genome analysis system is a&nbsp;<a href="http://genometools.org/license.html">free</a>&nbsp;collection of bioinformatics&nbsp;<a href="http://genometools.org/tools.html">tools</a>&nbsp;(in the realm of genome informatics) combined into a single binary named&nbsp;<em>gt</em>. It is based on a C library named &ldquo;libgenometools&rdquo; which consists of several modules.</p>
<p>If you are interested in gene prediction, have a look at&nbsp;<a href="http://genomethreader.org/" title="GenomeThreader gene prediction        software"><em>GenomeThreader</em></a>.</p><p>Address of the bookmark: <a href="http://genometools.org/" rel="nofollow">http://genometools.org/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/4297/how-genes-are-regulated-transcription-factors</guid>
	<pubDate>Thu, 05 Sep 2013 16:54:19 -0500</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/4297/how-genes-are-regulated-transcription-factors</link>
	<title><![CDATA[How Genes are Regulated: Transcription Factors]]></title>
	<description><![CDATA[<iframe src="http://player.vimeo.com/video/30034882?byline=0" width="" height="" frameborder="0" webkitAllowFullScreen allowFullScreen></iframe>Each cell in our body inherits the same master copy of DNA, but different cell types use it differently. Transcription Factors help influence which genes are used in which cell. Understanding how these dynamic proteins physically interact with DNA allows us to better understand and model their binding to DNA and their regulation of gene expression.  Scientific Direction by the Wasserman Lab at the University of British Columbia: http://www.cmmt.ubc.ca/research/investigators/wasserman/lab  Animation and editing by Blair Lyons of Stroma Studios: http://www.stromastudios.com]]></description>
	
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/42362/magic-a-tool-for-predicting-transcription-factors-and-cofactors-driving-gene-sets-using-encode-data</guid>
	<pubDate>Thu, 26 Nov 2020 11:05:04 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42362/magic-a-tool-for-predicting-transcription-factors-and-cofactors-driving-gene-sets-using-encode-data</link>
	<title><![CDATA[MAGIC: A tool for predicting transcription factors and cofactors driving gene sets using ENCODE data]]></title>
	<description><![CDATA[<p><span>The algorithm presented herein,&nbsp;</span><strong>M</strong><span>ining&nbsp;</span><strong>A</strong><span>lgorithm for&nbsp;</span><strong>G</strong><span>enet</span><strong>I</strong><span>c&nbsp;</span><strong>C</strong><span>ontrollers (MAGIC), uses ENCODE ChIP-seq data to look for statistical enrichment of TFs and cofactors in gene bodies and flanking regions in gene lists without an&nbsp;</span><em>a priori</em><span>&nbsp;binary classification of genes as targets or non-targets. When compared to other TF mining resources, MAGIC displayed favourable performance in predicting TFs and cofactors that drive gene changes in 4 settings: </span></p>
<p><span>1) A cell line expressing or lacking single TF, </span></p>
<p><span>2) Breast tumors divided along PAM50 designations </span></p>
<p><span>3) Whole brain samples from WT mice or mice lacking a single TF in a particular neuronal subtype </span></p>
<p><span>4) Single cell RNAseq analysis of neurons divided by Immediate Early Gene expression levels. </span></p>
<p><span>In summary, MAGIC is a standalone application that produces meaningful predictions of TFs and cofactors in transcriptomic experiments.</span></p>
<p><span>More at&nbsp;https://uwmadison.app.box.com/s/8j90e5h2rjrsz3bacaxnq8kor2o64vyg</span></p><p>Address of the bookmark: <a href="https://github.com/asroopra/MAGIC" rel="nofollow">https://github.com/asroopra/MAGIC</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/41455/coronavirus-covid-%E2%80%9019-testing-sites-in-india</guid>
	<pubDate>Mon, 16 Mar 2020 16:13:41 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/41455/coronavirus-covid-%E2%80%9019-testing-sites-in-india</link>
	<title><![CDATA[Coronavirus COVID ‐19 Testing Sites In India]]></title>
	<description><![CDATA[<p>COVID-19 is a new illness that can affect your lungs and airways. It's caused by a virus called coronavirus.</p><h2>Stay at home if you have coronavirus symptoms</h2><p>Stay at home if you have either:</p><ul>
<li>a high temperature &ndash; you feel hot to touch on your chest or back</li>
<li>a new, continuous cough &ndash; this means you've started coughing repeatedly</li>
</ul><h2>DO NOT TAKE</h2><p><em>Ibrufen</em></p><p><em>https://amp.theguardian.com/world/2020/mar/14/anti-inflammatory-drugs-may-aggravate-coronavirus-infection</em></p><h2>How to avoid catching and spreading coronavirus (social distancing)</h2><p>Everyone should do what they can to stop coronavirus spreading.</p><p>It is particularly important for people who:</p><ul>
<li>are 70 or over</li>
<li>have a long-term condition</li>
<li>are pregnant</li>
<li>have a weakened immune system</li>
</ul><p><img src="https://www.hindustantimes.com/rf/image_size_960x540/HT/p2/2020/03/16/Pictures/_c0c377e0-6789-11ea-8a5c-cb364e4c5304.png" alt="image" width="960" height="543" style="border: 0px; border: 0px;"></p><p><strong>Below are the 52 Coronavirus COVID-19 Testing sites/locations in India.</strong></p><p>State:&nbsp;Andhra Pradesh&nbsp; &nbsp; &nbsp; &nbsp;</p><ol>
<li>Sri Venkateswara Institute of Medical Sciences, Tirupati</li>
<li>Andhra Medical College, Visakhapatnam, Andhra Pradesh</li>
<li>GMC, Anantapur, AP</li>
</ol><p>State:&nbsp;Andaman &amp; Nicobar islands</p><ol>
<li>Regional Medical Research Centre, Port Blair, Andaman, and Nicobar</li>
</ol><p>State:&nbsp;Assam</p><ol>
<li>Gauhati Medical College, Guwahati</li>
<li>&nbsp;Regional Medical Research Center, Dibrugarh</li>
</ol><p>State:&nbsp;Bihar</p><ol>
<li>Rajendra Memorial Research Institute of Medical Sciences, Patna</li>
</ol><p>State: Chandigarh</p><ol>
<li>Post Graduate Institute of Medical Education &amp; Research, Chandigarh</li>
</ol><p>State: Chhattisgarh</p><ol>
<li>All India Institute Medical Sciences, Raipur</li>
</ol><p>Union Territory: Delhi-NCT&nbsp;</p><ol>
<li>All India Institute Medical Sciences, Delhi</li>
<li>National Centre for Disease Control, Delhi</li>
</ol><p>State: Gujarat</p><ol>
<li>BJ Medical College, Ahmedabad</li>
<li>M.P.Shah Government Medical College, Jamnagar</li>
</ol><p>State: Haryana</p><ol>
<li>Pt. B.D. Sharma Post Graduate Inst. of Med. Sciences, Rohtak, Haryana</li>
<li>BPS Govt Medical College, Sonipat</li>
</ol><p>State: Himachal Pradesh</p><ol>
<li>Indira Gandhi Medical College, Shimla, Himachal Pradesh</li>
<li>Dr.Rajendra Prasad Govt. Med. College, Kangra, Tanda, HP</li>
</ol><p>Union Territory: Jammu and Kashmir</p><ol>
<li>Sher‐e‐ Kashmir Institute of Medical Sciences, Srinagar</li>
<li>Government Medical College, Jammu</li>
</ol><p>State: Jharkhand</p><ol>
<li>MGM Medical College, Jamshedpur</li>
</ol><p>State: Karnataka</p><ol>
<li>Bangalore Medical College &amp; Research Institute, Bangalore</li>
<li>National Institute of Virology Field Unit Bangalore</li>
<li>Mysore Medical College &amp; Research Institute, Mysore</li>
<li>Hassan Inst. of Med. Sciences, Hassan, Karnataka</li>
<li>Shimoga Inst. of Med. Sciences, Shivamogga, Karnataka</li>
</ol><p>State: Kerala</p><ol>
<li>National Institute of Virology Field Unit, Kerala</li>
<li>Govt. Medical College, Thiruvananthapuram, Kerala</li>
<li>Govt. Medical College, Kozhikode, Kerala</li>
</ol><p>State: Madhya Pradesh</p><ol>
<li>All India Institute Medical Sciences, Bhopal</li>
<li>National Institute of Research in Tribal Health (NIRTH), Jabalpur</li>
</ol><p>State: Meghalaya</p><ol>
<li>NEIGRI of Health and Medical Sciences, Shillong, Meghalaya</li>
</ol><p>State: Maharashtra</p><ol>
<li>Indira Gandhi Government Medical College, Nagpur</li>
<li>Kasturba Hospital for Infectious Diseases, Mumbai</li>
</ol><p>State: Manipur</p><ol>
<li>J N Inst. of Med. Sciences Hospital, Imphal‐East, Manipur</li>
</ol><p>State: Odisha</p><ol>
<li>Regional Medical Research Center, Bhubaneswar</li>
</ol><p>Union Territory: Puducherry</p><ol>
<li>Jawaharlal Institute of Postgraduate Medical Education &amp; Research, Puducherry</li>
</ol><p>State: Punjab</p><ol>
<li>Government Medical College, Patiala, Punjab</li>
<li>Government Medical College, Amritsar</li>
</ol><p>State: Rajasthan</p><ol>
<li>Sawai Man Singh, Jaipur</li>
<li>Dr. S.N Medical College, Jodhpur</li>
<li>Jhalawar Medical College, Jhalawar, Rajasthan</li>
<li>SP Med. College, Bikaner, Rajasthan</li>
</ol><p>State: Tamil Nadu</p><ol>
<li>King&rsquo;s Institute of Preventive Medicine &amp; Research, Chennai</li>
<li>Government Medical College, Theni</li>
</ol><p>State: Tripura</p><ol>
<li>Government Medical College, Agartala</li>
</ol><p>State: Telangana</p><ol>
<li>Gandhi Medical College, Secunderabad</li>
</ol><p>State: Uttar Pradesh</p><ol>
<li>King&rsquo;s George Medical University, Lucknow</li>
<li>Institute of Medical Sciences, Banaras, Hindu University, Varanasi</li>
<li>Jawaharlal Nehru Medical College, Aligarh</li>
</ol><p>State: Uttarakhand</p><ol>
<li>Government Medical College, Haldwani</li>
</ol><p>State: West Bengal</p><ol>
<li>National Institute of Cholera and Enteric Diseases, Kolkata</li>
<li>IPGMER, Kolkata</li>
</ol>]]></description>
	<dc:creator>Neel</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/42357/irscope-an-online-program-to-visualize-the-junction-sites-of-chloroplast-genomes</guid>
	<pubDate>Wed, 25 Nov 2020 19:44:46 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42357/irscope-an-online-program-to-visualize-the-junction-sites-of-chloroplast-genomes</link>
	<title><![CDATA[IRscope: an online program to visualize the junction sites of chloroplast genomes]]></title>
	<description><![CDATA[<p><span>eMPRess, a software program for phylogenetic tree reconciliation under the duplication-transfer-loss model that systematically addresses the problems of choosing event costs and selecting representative solutions, enabling users to make more robust inferences.</span></p><p>Address of the bookmark: <a href="https://sites.google.com/g.hmc.edu/empress/home" rel="nofollow">https://sites.google.com/g.hmc.edu/empress/home</a></p>]]></description>
	<dc:creator>Neel</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/42570/breeding-insight</guid>
	<pubDate>Wed, 06 Jan 2021 19:49:21 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/42570/breeding-insight</link>
	<title><![CDATA[Breeding Insight]]></title>
	<description><![CDATA[<p><span><span>Breeding Insight&nbsp;at Cornell University will leverage recent improvements in genomics and open source informatics components, and in&nbsp;partnership with small breeding programs, will enable these programs to harness&nbsp;&nbsp;powerful digital tools to accelerate their genetic gains</span></span></p>
<p><span>Breeding Insight is funded by&nbsp;the&nbsp;</span><span><a href="https://www.ars.usda.gov/about-ars/" target="_blank">U.S. Department of Agriculture (USDA) Agricultural Research Service (ARS)</a></span><span>&nbsp;through Cornell University. The USDA ARS delivers scientific solutions to national and global agricultural challenges. As a global leader&nbsp;in agricultural discovery through scientific excellence, ARS is committed to delivering cutting-edge, scientific tools and innovative solutions for American farmers, producers, industry, and communities to support the nourishment and well-being of all people; sustaining our nation&rsquo;s agroecosystems and natural resources; and ensuring the economic competitiveness and excellence of our agriculture.</span></p><p>Address of the bookmark: <a href="https://www.breedinginsight.org/" rel="nofollow">https://www.breedinginsight.org/</a></p>]]></description>
	<dc:creator>BioStar</dc:creator>
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	<guid isPermaLink="true">https://bioinformaticsonline.com/videolist/watch/20585/dna-transcription-advanced</guid>
	<pubDate>Thu, 29 Jan 2015 05:31:42 -0600</pubDate>
	<link>https://bioinformaticsonline.com/videolist/watch/20585/dna-transcription-advanced</link>
	<title><![CDATA[DNA Transcription (Advanced)]]></title>
	<description><![CDATA[<iframe width="" height="" src="https://www.youtube-nocookie.com/embed/SMtWvDbfHLo" frameborder="0" allowfullscreen></iframe><p>Transcription is the process by which the information in DNA is copied into messenger RNA (mRNA) for protein production. Originally created for DNA Interactive ( http://www.dnai.org ). TRANSCRIPT: The Central Dogma of Molecular Biology: "DNA makes RNA makes protein" Here the process begins. Transcription factors assemble at a specific promoter region along the DNA. The length of DNA following the promoter is a gene and it contains the recipe for a protein. A mediator protein complex arrives carrying the enzyme RNA polymerase. It manoeuvres the RNA polymerase into place... inserting it with the help of other factors between the strands of the DNA double helix. The assembled collection of all these factors is referred to as the transcription initiation complex... and now it is ready to be activated. The initiation complex requires contact with activator proteins, which bind to specific sequences of DNA known as enhancer regions. These regions may be thousands of base pairs distant from the start of the gene. Contact between the activator proteins and the initiation-complex releases the copying mechanism. The RNA polymerase unzips a small portion of the DNA helix exposing the bases on each strand. Only one of the strands is copied. It acts as a template for the synthesis of an RNA molecule which is assembled one sub-unit at a time by matching the DNA letter code on the template strand. The sub-units can be seen here entering the enzyme through its intake hole and they are joined together to form the long messenger RNA chain snaking out of the top.</p>]]></description>
	
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