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Title: Algorithmic Strategies in Combinatorial Chemistry

Abstract

Combinatorial Chemistry is a powerful new technology in drug design and molecular recognition. It is a wet-laboratory methodology aimed at ``massively parallel'' screening of chemical compounds for the discovery of compounds that have a certain biological activity. The power of the method comes from the interaction between experimental design and computational modeling. Principles of ``rational'' drug design are used in the construction of combinatorial libraries to speed up the discovery of lead compounds with the desired biological activity. This paper presents algorithms, software development and computational complexity analysis for problems arising in the design of combinatorial libraries for drug discovery. The authors provide exact polynomial time algorithms and intractability results for several Inverse Problems-formulated as (chemical) graph reconstruction problems-related to the design of combinatorial libraries. These are the first rigorous algorithmic results in the literature. The authors also present results provided by the combinatorial chemistry software package OCOTILLO for combinatorial peptide design using real data libraries. The package provides exact solutions for general inverse problems based on shortest-path topological indices. The results are superior both in accuracy and computing time to the best software reports published in the literature. For 5-peptoid design, the computation is rigorously reduced to an exhaustivemore » search of about 2% of the search space; the exact solutions are found in a few minutes.« less

Authors:
; ; ; ;
Publication Date:
Research Org.:
Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Sandia National Lab. (SNL-CA), Livermore, CA (United States)
Sponsoring Org.:
US Department of Energy (US)
OSTI Identifier:
761850
Report Number(s):
SAND2000-1991C
TRN: AH200035%%151
DOE Contract Number:  
AC04-94AL85000
Resource Type:
Conference
Resource Relation:
Conference: Symposium On Discrete Algorithms (SODA), San Francisco, CA (US), 01/09/2000--01/11/2000; Other Information: PBD: 1 Aug 2000
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES; ALGORITHMS; DRUGS; BIOLOGICAL EFFECTS; COMPUTER-AIDED DESIGN; O CODES; PEPTIDES

Citation Formats

GOLDMAN, DEBORAH, ISTRAIL, SORIN, LANCIA, GIUSEPPE, PICCOLBONI, ANTONIO, and WALENZ, BRIAN. Algorithmic Strategies in Combinatorial Chemistry. United States: N. p., 2000. Web.
GOLDMAN, DEBORAH, ISTRAIL, SORIN, LANCIA, GIUSEPPE, PICCOLBONI, ANTONIO, & WALENZ, BRIAN. Algorithmic Strategies in Combinatorial Chemistry. United States.
GOLDMAN, DEBORAH, ISTRAIL, SORIN, LANCIA, GIUSEPPE, PICCOLBONI, ANTONIO, and WALENZ, BRIAN. 2000. "Algorithmic Strategies in Combinatorial Chemistry". United States. https://www.osti.gov/servlets/purl/761850.
@article{osti_761850,
title = {Algorithmic Strategies in Combinatorial Chemistry},
author = {GOLDMAN, DEBORAH and ISTRAIL, SORIN and LANCIA, GIUSEPPE and PICCOLBONI, ANTONIO and WALENZ, BRIAN},
abstractNote = {Combinatorial Chemistry is a powerful new technology in drug design and molecular recognition. It is a wet-laboratory methodology aimed at ``massively parallel'' screening of chemical compounds for the discovery of compounds that have a certain biological activity. The power of the method comes from the interaction between experimental design and computational modeling. Principles of ``rational'' drug design are used in the construction of combinatorial libraries to speed up the discovery of lead compounds with the desired biological activity. This paper presents algorithms, software development and computational complexity analysis for problems arising in the design of combinatorial libraries for drug discovery. The authors provide exact polynomial time algorithms and intractability results for several Inverse Problems-formulated as (chemical) graph reconstruction problems-related to the design of combinatorial libraries. These are the first rigorous algorithmic results in the literature. The authors also present results provided by the combinatorial chemistry software package OCOTILLO for combinatorial peptide design using real data libraries. The package provides exact solutions for general inverse problems based on shortest-path topological indices. The results are superior both in accuracy and computing time to the best software reports published in the literature. For 5-peptoid design, the computation is rigorously reduced to an exhaustive search of about 2% of the search space; the exact solutions are found in a few minutes.},
doi = {},
url = {https://www.osti.gov/biblio/761850}, journal = {},
number = ,
volume = ,
place = {United States},
year = {2000},
month = {8}
}

Conference:
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