Title:
Leveraging Protein Structure to Expedite Drug Discovery

dc.contributor.author Brown, Kristin
dc.contributor.corporatename GlaxoSmithKline
dc.date.accessioned 2010-12-02T20:48:10Z
dc.date.available 2010-12-02T20:48:10Z
dc.date.issued 2010-11-10
dc.description Kristin Brown, manager of Computational chemistry at GlaxoSmithKline, presented a lecture on November 11, 2010 from 11:00 AM to 12:00 PM in the Klaus Advance Computing Building, Room 1116E on the Georgia Tech Campus. en_US
dc.description Runtime: 53:30 minutes en_US
dc.description.abstract Detailed knowledge of a protein family – whether mechanism of action, known active compounds, or three-dimensional structures – can expedite drug discovery. This knowledge is not constrained to the exact protein that is being targeted for a therapeutic effect. In fact, understanding how multiple members of a protein family interact with small molecules can advance lead optimization in multiple ways. It can identify tool compounds early in drug discovery process, aid in selectivity issues and provide information about the flexibility of a protein. Using examples from the protein kinase & prolyl hydroxylase families, this talk will provide a basic understanding of structure based drug design and demonstrate how using the structure information across a protein family can provide insights that can expedite drug discovery.
dc.format.extent 53:30 minutes
dc.identifier.uri http://hdl.handle.net/1853/36239
dc.language.iso en_US en_US
dc.publisher Georgia Institute of Technology en_US
dc.subject Computational chemistry en_US
dc.subject Protein structure en_US
dc.subject Drug discovery en_US
dc.title Leveraging Protein Structure to Expedite Drug Discovery en_US
dc.type Moving Image
dc.type.genre Lecture
dspace.entity.type Publication
local.contributor.corporatename College of Sciences
local.contributor.corporatename School of Biological Sciences
local.contributor.corporatename Center for the Study of Systems Biology
local.relation.ispartofseries Distinguished Lecture Series in Systems Biology
relation.isOrgUnitOfPublication 85042be6-2d68-4e07-b384-e1f908fae48a
relation.isOrgUnitOfPublication c8b3bd08-9989-40d3-afe3-e0ad8d5c72b5
relation.isOrgUnitOfPublication d3d635bd-b38e-4ef6-a2d0-0875b9a83e34
relation.isSeriesOfPublication ebedac4f-8fb6-4d66-a7cb-a93ab68295b5
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