Literature DB >> 2565575

Automated site-directed drug design: a general algorithm for knowledge acquisition about hydrogen-bonding regions at protein surfaces.

D J Danziger1, P M Dean.   

Abstract

This is the first of four papers that begin to explore the possibility of automated site-directed drug design. A general outline is given of the logical steps involved in approaching the problem. The starting point is the process of knowledge acquisition about the site. An algorithm is described here for the construction of a map of hydrogen-bonding regions at protein surfaces directly from the Brookhaven Protein Data Bank coordinates. Hydrogen-bonding atoms are located, intramolecular bonds are searched for, hydrogen-bonding atoms at the surface are found and hydrogen-bonding regions are computed at the accessible surface. A grid is placed within each region discovered and the probability of hydrogen bonding at each grid point is computed. The output of the program is a map of hydrogen-bonding regions displayed within a user-defined window. This information can be used as part of a knowledge base for the automatic construction of novel ligands to fit specified binding sites.

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Year:  1989        PMID: 2565575     DOI: 10.1098/rspb.1989.0015

Source DB:  PubMed          Journal:  Proc R Soc Lond B Biol Sci        ISSN: 0950-1193


  19 in total

1.  A Bayesian molecular interaction library.

Authors:  Ville-Veikko Rantanen; Mats Gyllenberg; Timo Koski; Mark S Johnson
Journal:  J Comput Aided Mol Des       Date:  2003-07       Impact factor: 3.686

2.  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

3.  The concept of template-based de novo design from drug-derived molecular fragments and its application to TAR RNA.

Authors:  Andreas Schüller; Marcel Suhartono; Uli Fechner; Yusuf Tanrikulu; Sven Breitung; Ute Scheffer; Michael W Göbel; Gisbert Schneider
Journal:  J Comput Aided Mol Des       Date:  2007-12-07       Impact factor: 3.686

4.  Molecular structure matching by simulated annealing. IV. Classification of atom correspondences in sets of dissimilar molecules.

Authors:  M C Papadopoulos; P M Dean
Journal:  J Comput Aided Mol Des       Date:  1991-04       Impact factor: 3.686

5.  CONFIRM: connecting fragments found in receptor molecules.

Authors:  David C Thompson; R Aldrin Denny; Ramaswamy Nilakantan; Christine Humblet; Diane Joseph-McCarthy; Eric Feyfant
Journal:  J Comput Aided Mol Des       Date:  2008-07-09       Impact factor: 3.686

Review 6.  Exploring chemical space for drug discovery using the chemical universe database.

Authors:  Jean-Louis Reymond; Mahendra Awale
Journal:  ACS Chem Neurosci       Date:  2012-04-25       Impact factor: 4.418

7.  Three-dimensional hydrogen-bond geometry and probability information from a crystal survey.

Authors:  J E Mills; P M Dean
Journal:  J Comput Aided Mol Des       Date:  1996-12       Impact factor: 3.686

8.  Molecular surface-volume and property matching to superpose flexible dissimilar molecules.

Authors:  T D Perkins; J E Mills; P M Dean
Journal:  J Comput Aided Mol Des       Date:  1995-12       Impact factor: 3.686

9.  Evaluation of a method for controlling molecular scaffold diversity in de novo ligand design.

Authors:  N P Todorov; P M Dean
Journal:  J Comput Aided Mol Des       Date:  1997-03       Impact factor: 3.686

10.  BUILDER v.2: improving the chemistry of a de novo design strategy.

Authors:  D C Roe; I D Kuntz
Journal:  J Comput Aided Mol Des       Date:  1995-06       Impact factor: 3.686

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