Literature DB >> 28573347

MolAlign: an algorithm for aligning multiple small molecules.

Shek Ling Chan1.   

Abstract

In small molecule drug discovery projects, the receptor structure is not always available. In such cases it is enormously useful to be able to align known ligands in the way they bind in the receptor. Here we shall present an algorithm for the alignment of multiple small molecule ligands. This algorithm takes pre-generated conformers as input, and proposes aligned assemblies of the ligands. The algorithm consists of two stages: the first stage is to perform alignments for each pair of ligands, the second stage makes use of the results from the first stage to build up multiple ligand alignment assemblies using a novel iterative procedure. The scoring functions are improved versions of the one mentioned in our previous work. We have compared our results with some recent publications. While an exact comparison is impossible, it is clear that our algorithm is fast and produces very competitive results.

Keywords:  Molecular alignment; Molecular overlay; Molecular superposition; Pharmacophore elucidation

Mesh:

Substances:

Year:  2017        PMID: 28573347     DOI: 10.1007/s10822-017-0023-8

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


  30 in total

Review 1.  Computational methods for the structural alignment of molecules.

Authors:  C Lemmen; T Lengauer
Journal:  J Comput Aided Mol Des       Date:  2000-03       Impact factor: 3.686

2.  Flexible alignment of small molecules.

Authors:  P Labute; C Williams; M Feher; E Sourial; J M Schmidt
Journal:  J Med Chem       Date:  2001-05-10       Impact factor: 7.446

3.  PHASE: a new engine for pharmacophore perception, 3D QSAR model development, and 3D database screening: 1. Methodology and preliminary results.

Authors:  Steven L Dixon; Alexander M Smondyrev; Eric H Knoll; Shashidhar N Rao; David E Shaw; Richard A Friesner
Journal:  J Comput Aided Mol Des       Date:  2006-11-24       Impact factor: 3.686

Review 4.  Molecule-pharmacophore superpositioning and pattern matching in computational drug design.

Authors:  Gerhard Wolber; Thomas Seidel; Fabian Bendix; Thierry Langer
Journal:  Drug Discov Today       Date:  2007-11-05       Impact factor: 7.851

Review 5.  Three-dimensional pharmacophore methods in drug discovery.

Authors:  Andrew R Leach; Valerie J Gillet; Richard A Lewis; Robin Taylor
Journal:  J Med Chem       Date:  2010-01-28       Impact factor: 7.446

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Authors:  D Barnum; J Greene; A Smellie; P Sprague
Journal:  J Chem Inf Comput Sci       Date:  1996 May-Jun

7.  Assessment of a Cambridge Structural Database-driven overlay program.

Authors:  Ilenia Giangreco; Tjelvar S G Olsson; Jason C Cole; Martin J Packer
Journal:  J Chem Inf Model       Date:  2014-11-13       Impact factor: 4.956

8.  GRID-based three-dimensional pharmacophores II: PharmBench, a benchmark data set for evaluating pharmacophore elucidation methods.

Authors:  Simon Cross; Francesco Ortuso; Massimo Baroni; Giosuè Costa; Simona Distinto; Federica Moraca; Stefano Alcaro; Gabriele Cruciani
Journal:  J Chem Inf Model       Date:  2012-09-21       Impact factor: 4.956

9.  An extensive and diverse set of molecular overlays for the validation of pharmacophore programs.

Authors:  Ilenia Giangreco; David A Cosgrove; Martin J Packer
Journal:  J Chem Inf Model       Date:  2013-04-08       Impact factor: 4.956

10.  A genetic algorithm for flexible molecular overlay and pharmacophore elucidation.

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Journal:  J Comput Aided Mol Des       Date:  1995-12       Impact factor: 3.686

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Journal:  Front Pharmacol       Date:  2022-02-21       Impact factor: 5.810

2.  BCL::MolAlign: Three-Dimensional Small Molecule Alignment for Pharmacophore Mapping.

Authors:  Benjamin P Brown; Jeffrey Mendenhall; Jens Meiler
Journal:  J Chem Inf Model       Date:  2019-02-12       Impact factor: 4.956

3.  Quantum Artificial Neural Network Approach to Derive a Highly Predictive 3D-QSAR Model for Blood-Brain Barrier Passage.

Authors:  Taeho Kim; Byoung Hoon You; Songhee Han; Ho Chul Shin; Kee-Choo Chung; Hwangseo Park
Journal:  Int J Mol Sci       Date:  2021-10-12       Impact factor: 5.923

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