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<p class="MsoNormal"><b><span lang="EN-US" style="font-size:10.0pt">Structural Bioinformatics course, 12-16th October 2015</span></b><span lang="EN-US"><o:p></o:p></span></p>
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<p class="MsoNormal"><b><span style="font-size:10.0pt">Venue: EMBL-EBI, Wellcome Genome Campus, Hinxton, Cambridge UK</span></b><o:p></o:p></p>
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<p class="MsoNormal"><b><span style="font-size:10.0pt">Course organisers: Gerard Kleywegt (EMBL-EBI), Christine Orengo (UCL) and Tom Hancocks (EMBL-EBI)</span></b><o:p></o:p></p>
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<p class="MsoNormal"><b><span style="font-size:10.0pt">Full programme and registration details can be found at: </span></b><a href="http://www.ebi.ac.uk/training/course/structural-bioinformatics">http://www.ebi.ac.uk/training/course/structural-bioinformatics</a><o:p></o:p></p>
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<b><span style="font-family:"Verdana","sans-serif"">Course overview</span></b><span style="font-family:"Verdana","sans-serif""><o:p></o:p></span></p>
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<span style="font-size:10.0pt;font-family:"Verdana","sans-serif"">This course will explore bioinformatics data resources and tools that are available for the interpretation and exploitation of biomacromolecular structures, focusing on how best to use structural
information to gain the most from it in specific research contexts. This will include investigating the impact of genetics variation on structure, predicting protein structure and function and exploring interactions with other macromolecules as well as with
low-MW compounds. <o:p></o:p></span></p>
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<b><span style="font-size:10.0pt;font-family:"Verdana","sans-serif"">Course Audience</span></b><span style="font-size:10.0pt;font-family:"Verdana","sans-serif""><o:p></o:p></span></p>
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<span style="font-size:10.0pt;font-family:"Verdana","sans-serif"">This course is aimed at researchers who want to learn more about the application of structural information in their work and how to use the bioinformatics resources that are available. No previous
experience of structural bioinformatics is required.<o:p></o:p></span></p>
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<b><span style="font-size:10.0pt;font-family:"Verdana","sans-serif"">Syllabus</span></b><span style="font-size:10.0pt;font-family:"Verdana","sans-serif""><o:p></o:p></span></p>
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<span style="font-size:10.0pt;font-family:"Verdana","sans-serif"">During this course you will learn about:<o:p></o:p></span></p>
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<![if !supportLists]><span style="font-size:10.0pt;font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="font-size:10.0pt;font-family:"Verdana","sans-serif"">Public repositories of structural data: Protein Data Bank (PDB) and Electron Microscopy Data Bank (EMDB), and tools to search and analyse information in these repositories
from PDBe (Protein Data Bank in Europe)<o:p></o:p></span></p>
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</span></span></span><![endif]><span style="font-size:10.0pt;font-family:"Verdana","sans-serif"">Computational approaches to structure prediction: ModBase, Rosetta, PHYRE, Interactome 3D<o:p></o:p></span></p>
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</span></span></span><![endif]><span style="font-size:10.0pt;font-family:"Verdana","sans-serif"">Impact of genetic variation on protein structure: Ensembl VEP, DBSeq, SAAPdb<o:p></o:p></span></p>
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</span></span></span><![endif]><span style="font-size:10.0pt;font-family:"Verdana","sans-serif"">Protein analysis and classification: Pfam, CATH, SCOP, InterPro, PDBeFold, PDBePISA, ProFunc<o:p></o:p></span></p>
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<![if !supportLists]><span style="font-size:10.0pt;font-family:Symbol"><span style="mso-list:Ignore">·<span style="font:7.0pt "Times New Roman"">
</span></span></span><![endif]><span style="font-size:10.0pt;font-family:"Verdana","sans-serif"">Tools and resources for drug discovery: ChEMBL<o:p></o:p></span></p>
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<p class="MsoNormal"><span lang="EN-US" style="font-size:13.5pt;font-family:"Helvetica","sans-serif";color:#1F497D">This message sent to you as member of the NSBM mailinglist</span><span lang="EN-US" style="font-size:13.5pt;font-family:"Helvetica","sans-serif";color:black"><o:p></o:p></span></p>
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<p style="font-size:13px;font-family:arial;">Het Radboudumc staat geregistreerd bij de Kamer van Koophandel in het handelsregister onder nummer 41055629.<br>
The Radboud university medical center is listed in the Commercial Register of the Chamber of Commerce under file number 41055629.<br>
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