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243rd ACS
Mar 25-29, 2012
San Diego, CA
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Presentation at the:  Fall 2010 ACS National Meeting & Exposition


to be held in Boston, MA, Aug 22 - 26, 2010



Presentation in COMP 122

SESSION:
The Community Structure-Activity Resource (CSAR) Scoring Challenge (09:00 AM - 11:50 AM)

Monday, August 23, 2010 10:05 AM


Scoring performance of eHiTS on the CSAR dataset

Zsolt Zsoldos , Orr Ravitz
SimBioSys Inc., 135 Queen's Plate Dr, Unit 520, Toronto, ON M9W 6V1, Canada

Abstract:



Numerous studies have pointed out at the inability of scoring functions to perform uniformly well accross all biological systems of interest. Some studies suggest guidelines for choosing the best method for a specific problem, others advocate consensus techniques.

An alternative solution is to tailor the scoring function for the system of interest. eHiTS uses a novel scoring method consisting of statistical knowledge focused on interacting surface points and physical terms combined with an adaptive parameter scheme. During the automated tuning of eHiTS-score, receptor targets are clustered according to the chemical and shape similarity of the active site, and weight sets are optimized for each family.

The performance of eHiTS on the CSAR dataset was evaluated using the default parameters (pre-tuned on other data). In addition, the automatic tuning utility was run on one subset of the CSAR data and tested on the other. Results will be presented from both studies.


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