Literature DB >> 3199146

MENTHOR, a database system for the storage and retrieval of three-dimensional molecular structures and associated data searchable by substructural, biologic, physical, or geometric properties.

Y C Martin1, E B Danaher, C S May, D Weininger.   

Abstract

MENTHOR is a database system for the storage and retrieval of three-dimensional coordinate and charge information on molecules as well as of traditional biological and physical properties. Our molecular graphics system retrieves from MENTHOR structural information in individual molecules and receptor map/macromolecular binding site hypotheses. Substructural searches of MENTHOR are used to find starting coordinates for molecular modeling and traditional database searches of MENTHOR identify compounds for which modeling is needed. It also forms the data to be searched with ALLADDIN, our substructure/geometric search program. MENTHOR expedites molecular modeling by organizing previous work and facilitating transmission of information between individuals. Examples from modeling of D-2 receptor agonists are shown.

Mesh:

Year:  1988        PMID: 3199146     DOI: 10.1007/bf01532050

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


  2 in total

1.  Structural correlation between apomorphine and LSD: involvement of dopamine as well as serotonin in the actions of hallucinogens.

Authors:  D E Nichols
Journal:  J Theor Biol       Date:  1976-06       Impact factor: 2.691

2.  Stereochemical characteristics of dopamine agonists: molecular structure of bromocriptine and structural comparisons with apomorphine.

Authors:  N Camerman; L Y Chan; A Camerman
Journal:  Mol Pharmacol       Date:  1979-11       Impact factor: 4.436

  2 in total
  7 in total

1.  A fast and efficient method for 2D and 3D molecular shape description.

Authors:  G W Bemis; I D Kuntz
Journal:  J Comput Aided Mol Des       Date:  1992-12       Impact factor: 3.686

2.  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

3.  Searching for pharmacophores in large coordinate data bases and its use in drug design.

Authors:  R P Sheridan; A Rusinko; R Nilakantan; R Venkataraghavan
Journal:  Proc Natl Acad Sci U S A       Date:  1989-10       Impact factor: 11.205

Review 4.  Strategies for indirect computer-aided drug design.

Authors:  G H Loew; H O Villar; I Alkorta
Journal:  Pharm Res       Date:  1993-04       Impact factor: 4.200

5.  Metal complexes of chiral pentaazacrowns as conformational templates for beta-turn recognition.

Authors:  Andrea J H Reaka; Chris M W Ho; Garland R Marshall
Journal:  J Comput Aided Mol Des       Date:  2002 Aug-Sep       Impact factor: 3.686

6.  The discovery of novel auxin transport inhibitors by molecular modeling and three-dimensional pattern analysis.

Authors:  M G Bures; C Black-Schaefer; G Gardner
Journal:  J Comput Aided Mol Des       Date:  1991-08       Impact factor: 3.686

7.  The future of molecular dynamics simulations in drug discovery.

Authors:  David W Borhani; David E Shaw
Journal:  J Comput Aided Mol Des       Date:  2011-12-20       Impact factor: 3.686

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.