Literature DB >> 3127588

Using shape complementarity as an initial screen in designing ligands for a receptor binding site of known three-dimensional structure.

R L DesJarlais1, R P Sheridan, G L Seibel, J S Dixon, I D Kuntz, R Venkataraghavan.   

Abstract

Finding novel leads from which to design drug molecules has traditionally been a matter of screening and serendipity. We present a method for finding a wide assortment of chemical structures that are complementary to the shape of a macromoleculer receptor site whose X-ray crystallographic structure is known. Each of a set of small molecules from the Cambridge Crystallographic Database (Allen; et al. J. Chem. Doc. 1973, 13, 119) is individually docked to the receptor in a number of geometrically permissible orientations with use of the docking algorithm developed by Kuntz et al. (J. Mol. Biol. 1982, 161, 269). The orientations are evaluated for goodness-of-fit, and the best are kept for further examination using the molecular mechanics program AMBER (Weiner; Kollman J. Comput. Chem. 1981, 106, 765). The shape-search algorithm finds known ligands as well as novel molecules that fit the binding site being studied. The highest scoring orientations of known ligands resemble binding modes generated by interactive modeling or determined crystallographically. We describe the application of this procedure to the binding sites of papain and carbonic anhydrase. While the compounds recovered from the Cambridge Crystallographic Database are not, themselves, likely to be inhibitors or substrates of these enzymes, we expect that the structures from such searches will be useful in the design of active compounds.

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Year:  1988        PMID: 3127588     DOI: 10.1021/jm00399a006

Source DB:  PubMed          Journal:  J Med Chem        ISSN: 0022-2623            Impact factor:   7.446


  83 in total

1.  Statistical relationships among docking scores for different protein binding sites.

Authors:  R T Koehler; H O Villar
Journal:  J Comput Aided Mol Des       Date:  2000-01       Impact factor: 3.686

2.  Identification of ligands for RNA targets via structure-based virtual screening: HIV-1 TAR.

Authors:  A V Filikov; V Mohan; T A Vickers; R H Griffey; P D Cook; R A Abagyan; T L James
Journal:  J Comput Aided Mol Des       Date:  2000-08       Impact factor: 3.686

3.  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

4.  DOCK 4.0: search strategies for automated molecular docking of flexible molecule databases.

Authors:  T J Ewing; S Makino; A G Skillman; I D Kuntz
Journal:  J Comput Aided Mol Des       Date:  2001-05       Impact factor: 3.686

5.  Filtering databases and chemical libraries.

Authors:  Paul S Charifson; W Patrick Walters
Journal:  J Comput Aided Mol Des       Date:  2002 May-Jun       Impact factor: 3.686

Review 6.  Filtering databases and chemical libraries.

Authors:  Paul S Charifson; W Patrick Walters
Journal:  Mol Divers       Date:  2002       Impact factor: 2.943

7.  Ligand atom partial charges assignment for complementary electrostatic potentials.

Authors:  S L Chan; P L Chau; J M Goodman
Journal:  J Comput Aided Mol Des       Date:  1992-10       Impact factor: 3.686

8.  Automated site-directed drug design: the generation of a basic set of fragments to be used for automated structure assembly.

Authors:  P L Chau; P M Dean
Journal:  J Comput Aided Mol Des       Date:  1992-08       Impact factor: 3.686

9.  Molecular surface recognition: determination of geometric fit between proteins and their ligands by correlation techniques.

Authors:  E Katchalski-Katzir; I Shariv; M Eisenstein; A A Friesem; C Aflalo; I A Vakser
Journal:  Proc Natl Acad Sci U S A       Date:  1992-03-15       Impact factor: 11.205

10.  Automated site-directed drug design: approaches to the formation of 3D molecular graphs.

Authors:  R A Lewis
Journal:  J Comput Aided Mol Des       Date:  1990-06       Impact factor: 3.686

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