Literature DB >> 7937734

HOOK: a program for finding novel molecular architectures that satisfy the chemical and steric requirements of a macromolecule binding site.

M B Eisen1, D C Wiley, M Karplus, R E Hubbard.   

Abstract

A program (HOOK) is described for generating potential ligands that satisfy the chemical and steric requirements of the binding region of a macromolecule. Functional group sites with defined positions and orientations are derived from known ligand structures or the multicopy simulation search (MCSS) method (Miranker, A., Karplus, M. Proteins 11:29-34, 1991). HOOK places molecular "skeletons" from a database into the protein binding region by making bonds between sites ("hooks") on the skeleton and functional groups. The nonpolar interactions with the binding region of candidate molecules are assessed by use of a simplified van der Waals potential. The method is illustrated by constructing ligands for the sialic acid binding site of the hemagglutinin from the influenza A virus and the active site of chloramphenicol acetyltransferase. Aspects of the HOOK program that lead to a highly efficient search of 10(5) or more skeletons for binding to 10(2) or more functional group minima are outlined.

Entities:  

Mesh:

Substances:

Year:  1994        PMID: 7937734     DOI: 10.1002/prot.340190305

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  42 in total

1.  Computational design of D-peptide inhibitors of hepatitis delta antigen dimerization.

Authors:  C D Elkin; H J Zuccola; J M Hogle; D Joseph-McCarthy
Journal:  J Comput Aided Mol Des       Date:  2000-11       Impact factor: 3.686

2.  The maximal affinity of ligands.

Authors:  I D Kuntz; K Chen; K A Sharp; P A Kollman
Journal:  Proc Natl Acad Sci U S A       Date:  1999-08-31       Impact factor: 11.205

3.  Evaluation of designed ligands by a multiple screening method: application to glycogen phosphorylase inhibitors constructed with a variety of approaches.

Authors:  S S So; M Karplus
Journal:  J Comput Aided Mol Des       Date:  2001-07       Impact factor: 3.686

4.  A comparative docking study and the design of potentially selective MMP inhibitors.

Authors:  S Hanessian; N Moitessier; E Therrien
Journal:  J Comput Aided Mol Des       Date:  2001-10       Impact factor: 3.686

5.  Functional group placement in protein binding sites: a comparison of GRID and MCSS.

Authors:  R Bitetti-Putzer; D Joseph-McCarthy; J M Hogle; M Karplus
Journal:  J Comput Aided Mol Des       Date:  2001-10       Impact factor: 3.686

6.  A genetic algorithm for structure-based de novo design.

Authors:  S C Pegg; J J Haresco; I D Kuntz
Journal:  J Comput Aided Mol Des       Date:  2001-10       Impact factor: 3.686

7.  Q-fit: a probabilistic method for docking molecular fragments by sampling low energy conformational space.

Authors:  Richard M Jackson
Journal:  J Comput Aided Mol Des       Date:  2002-01       Impact factor: 3.686

Review 8.  A review of protein-small molecule docking methods.

Authors:  R D Taylor; P J Jewsbury; J W Essex
Journal:  J Comput Aided Mol Des       Date:  2002-03       Impact factor: 3.686

9.  Improved mapping of protein binding sites.

Authors:  Tamas Kortvelyesi; Michael Silberstein; Sheldon Dennis; Sandor Vajda
Journal:  J Comput Aided Mol Des       Date:  2003 Feb-Apr       Impact factor: 3.686

10.  Protein-ligand binding free energy estimation using molecular mechanics and continuum electrostatics. Application to HIV-1 protease inhibitors.

Authors:  V Zoete; O Michielin; M Karplus
Journal:  J Comput Aided Mol Des       Date:  2003-12       Impact factor: 3.686

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.