Literature DB >> 9007694

An inequality for 3D database searching and its use in evaluating the treatment of conformational flexibility.

J H Van Drie1.   

Abstract

A mathematical formula is introduced for predicting the number of hits that should be observed in a flexible 3D database search, based on the results of a set of related queries. The projected number of hits is always greater than or equal to the actual number of hits, the discrepancy being due to imperfect treatment of conformational flexibility of the molecules. Hence, the difference between the projected and actual number of hits, delta, serves to measure how well conformational flexibility is being treated, in a manner that is objective, easy for a user to quickly verify, and independent of the particular algorithm for flexible 3D database search. It is shown that delta is a function both of how well conformational flexibility is treated and of the precision of the query. When the distance constraint is defined only to a precision of +/- 2.0 A, in a single-conformer database of drug-like molecules delta values of only 0.03 are found, while in a single-conformer database of di- and tripeptides, delta is 0.15. At increased precision, a flexible 3D database search becomes critical. For a single-conformer database, using a query of precision +/- 0.2 A, applied to a database of drug-like molecules, delta is 0.97; applied to a database of di- and tripeptides, delta is 2.21. By contrast, treating conformational flexibility by storing up to 100 conformers per molecule, at this precision, applied to a database of drug-like molecules, delta is 0.002; applied to a database of di- and tripeptides, delta is 0.07. This inequality, and hence delta, is defined only for database queries containing a single distance constraint; how the inequality may generalize to higher-dimensional queries is still unclear.

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Year:  1996        PMID: 9007694     DOI: 10.1007/bf00134184

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  6 in total

1.  ALADDIN: an integrated tool for computer-assisted molecular design and pharmacophore recognition from geometric, steric, and substructure searching of three-dimensional molecular structures.

Authors:  J H Van Drie; D Weininger; Y C Martin
Journal:  J Comput Aided Mol Des       Date:  1989-09       Impact factor: 3.686

2.  Docking flexible ligands to macromolecular receptors by molecular shape.

Authors:  R L DesJarlais; R P Sheridan; J S Dixon; I D Kuntz; R Venkataraghavan
Journal:  J Med Chem       Date:  1986-11       Impact factor: 7.446

3.  Flexibases: a way to enhance the use of molecular docking methods.

Authors:  S K Kearsley; D J Underwood; R P Sheridan; M D Miller
Journal:  J Comput Aided Mol Des       Date:  1994-10       Impact factor: 3.686

4.  CAVEAT: a program to facilitate the design of organic molecules.

Authors:  G Lauri; P A Bartlett
Journal:  J Comput Aided Mol Des       Date:  1994-02       Impact factor: 3.686

5.  FLOG: a system to select 'quasi-flexible' ligands complementary to a receptor of known three-dimensional structure.

Authors:  M D Miller; S K Kearsley; D J Underwood; R P Sheridan
Journal:  J Comput Aided Mol Des       Date:  1994-04       Impact factor: 3.686

6.  A geometric approach to macromolecule-ligand interactions.

Authors:  I D Kuntz; J M Blaney; S J Oatley; R Langridge; T E Ferrin
Journal:  J Mol Biol       Date:  1982-10-25       Impact factor: 5.469

  6 in total
  1 in total

1.  Strategies for the determination of pharmacophoric 3D database queries.

Authors:  J H Van Drie
Journal:  J Comput Aided Mol Des       Date:  1997-01       Impact factor: 3.686

  1 in total

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