An automated method for predicting the positions of hydrogen-bonding atoms in binding sites.

Abstract:

:Hydrogen bonds are the most specific, and therefore predictable of the intermolecular interactions involved in ligand-protein binding. Given the structure of a molecule, it is possible to estimate the positions at which complementary hydrogen-bonding atoms could be found. Crystal-survey data are used in the design of a program, HBMAP, that generates a hydrogen-bond map for any given ligand, which contains all the feasible positions at which a complementary atom could be found. On superposition of ligands, the overlapping regions of their maps represent positions of receptor atoms to which each molecule can bind. The certainty of these positions is increased by the incorporation of a larger number and diversity of molecules. In this work, superposition is achieved using the program HBMATCH, which uses simulated annealing to generate the correspondence between points from the hydrogen-bonding maps of the two molecules. Equivalent matches are distinguished on the basis of their steric similarity. The strategy is tested on a number of ligands for which ligand-protein complexes have been solved crystallographically, which allows validation of the techniques. The receptor atom positions of thermolysin are successfully predicted when the correct superposition is obtained.

journal_name

J Comput Aided Mol Des

authors

Mills JE,Perkins TD,Dean PM

doi

10.1023/a:1007900527102

subject

Has Abstract

pub_date

1997-05-01 00:00:00

pages

229-42

issue

3

eissn

0920-654X

issn

1573-4951

journal_volume

11

pub_type

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