[Colloquium] Today: Gohar Margaryan's MS Presentation
Margaret Jaffey
margaret at cs.uchicago.edu
Wed Aug 23 10:52:09 CDT 2006
Just a reminder that Gohar Margaryan's MS Presentation will begin at
1:00 this afternoon.
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Date: Wednesday, August 23, 2006
Time: 1:00 p.m.
Place: Research Institutes 405
M.S. Candidate: Gohar Margaryan
M.S. Paper Title: An Artificial Neural Network Approach to
Prescreening of Large Chemical Datasets
Abstract:
Virtual screening, or in silico screening, is a productive and cost-
effective technology used in modern day drug design. It assists the
selection of compounds appropriate for a given biological receptor
from chemical databases. If a compound interacts strongly with a
receptor associated with a disease it may inhibit its function and
thus act as a drug. DOCK is a program suite which can be used in the
virtual screening stage. Given a large database of compounds and a
biological receptor DOCK can be used to predict the binding modes and
binding affinities of each compound in the database to the biological
receptor. This however may require considerable computational power
and time.
In this thesis we propose the use of artificial neural networks to
predict the binding affinities of the compounds in a chemical
database to a given receptor as a means to reduce the number of
compounds before the docking step. The neural networks are trained
with some set of compounds for which the binding affinities have been
previously computed with DOCK and are used to select a "better"
subset of compounds from the initial database. The performance of the
neural networks is then analyzed as well as the enrichment achieved
by the use of the neural networks as a prescreening step before docking.
Advisor: Prof. Rick Stevens
A draft copy of Gohar Margaryan's MS Paper is available in Ry 161A.
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Margaret P. Jaffey margaret at cs.uchicago.edu
Department of Computer Science
Student Support Rep (Ry 161A) (773) 702-6011
The University of Chicago http://www.cs.uchicago.edu
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