Literature DB >> 8786414

Placement of medium-sized molecular fragments into active sites of proteins.

M Rarey1, S Wefing, T Lengauer.   

Abstract

We present an algorithm for placing molecular fragments into the active site of a receptor. A molecular fragment is defined as a connected part of a molecule containing only complete ring systems. The algorithm is part of a docking tool, called FLEXX, which is currently under development at GMD. The overall goal is to provide means of automatically computing low-energy conformations of the ligand within the active site, with an accuracy approaching the limitations of experimental methods for resolving molecular structures and within a run time that allows for docking large sets of ligands. The methods by which we plan to achieve this goal are the explicit exploitation of molecular flexibility of the ligand and the incorporation of physicochemical properties of the molecules. The algorithm for fragment placement, which is the topic of this paper, is based on pattern recognition techniques and is able to predict a small set of possible positions of a molecular fragment with low flexibility within seconds on a workstation. In most cases, a placement with rms deviation below 1.0 A with respect to the X-ray structure is found among the 10 highest ranking solutions, assuming that the receptor is given in the bound conformation.

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Year:  1996        PMID: 8786414     DOI: 10.1007/bf00124464

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


  25 in total

1.  CLIX: a search algorithm for finding novel ligands capable of binding proteins of known three-dimensional structure.

Authors:  M C Lawrence; P C Davis
Journal:  Proteins       Date:  1992-01

2.  WHAT IF: a molecular modeling and drug design program.

Authors:  G Vriend
Journal:  J Mol Graph       Date:  1990-03

3.  The computer program LUDI: a new method for the de novo design of enzyme inhibitors.

Authors:  H J Böhm
Journal:  J Comput Aided Mol Des       Date:  1992-02       Impact factor: 3.686

4.  Computer design of bioactive molecules: a method for receptor-based de novo ligand design.

Authors:  J B Moon; W J Howe
Journal:  Proteins       Date:  1991

5.  Geometries of functional group interactions in enzyme-ligand complexes: guides for receptor modelling.

Authors:  M Tintelnot; P Andrews
Journal:  J Comput Aided Mol Des       Date:  1989-03       Impact factor: 3.686

6.  Docking flexible ligands to macromolecular receptors by molecular shape.

Authors:  R L DesJarlais; R P Sheridan; J S Dixon; I D Kuntz; R Venkataraghavan
Journal:  J Med Chem       Date:  1986-11       Impact factor: 7.446

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

Authors:  M B Eisen; D C Wiley; M Karplus; R E Hubbard
Journal:  Proteins       Date:  1994-07

8.  A fast and efficient method to generate biologically relevant conformations.

Authors:  G Klebe; T Mietzner
Journal:  J Comput Aided Mol Des       Date:  1994-10       Impact factor: 3.686

9.  SPROUT: recent developments in the de novo design of molecules.

Authors:  V J Gillet; W Newell; P Mata; G Myatt; S Sike; Z Zsoldos; A P Johnson
Journal:  J Chem Inf Comput Sci       Date:  1994 Jan-Feb

10.  The development of a simple empirical scoring function to estimate the binding constant for a protein-ligand complex of known three-dimensional structure.

Authors:  H J Böhm
Journal:  J Comput Aided Mol Des       Date:  1994-06       Impact factor: 3.686

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  28 in total

1.  De novo design of molecular architectures by evolutionary assembly of drug-derived building blocks.

Authors:  G Schneider; M L Lee; M Stahl; P Schneider
Journal:  J Comput Aided Mol Des       Date:  2000-07       Impact factor: 3.686

2.  Similarity searching in large combinatorial chemistry spaces.

Authors:  M Rarey; M Stahl
Journal:  J Comput Aided Mol Des       Date:  2001-06       Impact factor: 3.686

3.  Protein ligand docking based on empirical method for binding affinity estimation.

Authors:  P Tao; L Lai
Journal:  J Comput Aided Mol Des       Date:  2001-05       Impact factor: 3.686

4.  Crystal structure of histamine dehydrogenase from Nocardioides simplex.

Authors:  Timothy Reed; Gerald H Lushington; Yan Xia; Hidehiko Hirakawa; DeAnna M Travis; Minae Mure; Emily E Scott; Julian Limburg
Journal:  J Biol Chem       Date:  2010-06-10       Impact factor: 5.157

5.  Flexible docking under pharmacophore type constraints.

Authors:  Sally A Hindle; Matthias Rarey; Christian Buning; Thomas Lengaue
Journal:  J Comput Aided Mol Des       Date:  2002-02       Impact factor: 3.686

6.  Binding site characteristics in structure-based virtual screening: evaluation of current docking tools.

Authors:  Tanja Schulz-Gasch; Martin Stahl
Journal:  J Mol Model       Date:  2003-01-14       Impact factor: 1.810

7.  Validation of an empirical RNA-ligand scoring function for fast flexible docking using Ribodock.

Authors:  S David Morley; Mohammad Afshar
Journal:  J Comput Aided Mol Des       Date:  2004-03       Impact factor: 3.686

8.  Docking and scoring of metallo-beta-lactamases inhibitors.

Authors:  Lars Olsen; Ingrid Pettersson; Lars Hemmingsen; Hans-Werner Adolph; Flemming Steen Jørgensen
Journal:  J Comput Aided Mol Des       Date:  2004-04       Impact factor: 3.686

9.  Imatinib analogs as potential agents for PET imaging of Bcr-Abl and c-KIT expression at a kinase level.

Authors:  Zhenghong Peng; David S Maxwell; Duoli Sun; Basvoju A Bhanu Prasad; Ashutosh Pal; Shimei Wang; Julius Balatoni; Pradip Ghosh; Seok T Lim; Andrei Volgin; Aleksander Shavrin; Mian M Alauddin; Juri G Gelovani; William G Bornmann
Journal:  Bioorg Med Chem       Date:  2013-11-06       Impact factor: 3.641

10.  Deterministic pharmacophore detection via multiple flexible alignment of drug-like molecules.

Authors:  Dina Schneidman-Duhovny; Oranit Dror; Yuval Inbar; Ruth Nussinov; Haim J Wolfson
Journal:  J Comput Biol       Date:  2008-09       Impact factor: 1.479

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