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243rd ACS
Mar 25-29, 2012
San Diego, CA
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SimBioSys' products related presentation at the:  

Fields Industrial Optimization Seminar 2009-10


Toronto, Ontario, Canada, March 02, 2010


Session: Tuesday, March 2nd, 2010
from 6:00 PM; Oral
Algorithmic and mathematical challenges in protein-ligand docking and scoring
Presenter: Zsolt Zsoldos, view abstract view: presentation at the Fields Inst.

Scientific and technological advancements during the past two decades have altered the way pharmaceutical research produces new bioactive molecules. Traditional "trial and error" drug discovery efforts are gradually replaced by structure based rational drug design, virtual screening(VS) and 3D modelling. There are two approaches for VS, ligand-based similarity search and docking. The flexible ligand docking problem is divided into two subproblems: pose/conformation search and scoring function. The search algorithm must be fast, provide a manageable number of candidates, and be able to find the optimal pose/conformation of the complex. In eHiTS, both the receptor cavity and the candidate ligands are described by geometric shape and chemical feature graph based on distorted polyhedra. The graphs are mapped to each other with a specialized clique detection algorithm. A linear time complexity matching algorithm will also be presented that guarantees the solution with optimal score. The scoring sub-problem can be solved with various approaches including physical, empirical and statistics based models of the interactions. A new statistical model will be described that is based on interacting surface points and their normal vectors.

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