Literature DB >> 8877705

Evolutionary algorithms in computer-aided molecular design.

D E Clark1, D R Westhead.   

Abstract

In recent years, search and optimisation algorithms inspired by evolutionary processes have been applied with marked success to a wide variety of problems in diverse fields of study. In this review, we survey the growing application of these 'evolutionary algorithms' in one such area: computer-aided molecular design. In the course of the review, we seek to summarise the work to date and to indicate where evolutionary algorithms have met with success and where they have not fared so well. In addition to this, we also attempt to discern some future trends in both the basic research concerning these algorithms and their application to the elucidation, design and modelling of chemical and biochemical structures.

Mesh:

Substances:

Year:  1996        PMID: 8877705     DOI: 10.1007/bf00124503

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


  93 in total

1.  Using genetic algorithms for solving heavy-atom sites.

Authors:  G Chang; M Lewis
Journal:  Acta Crystallogr D Biol Crystallogr       Date:  1994-09-01

2.  An APL-programmed genetic algorithm for the prediction of RNA secondary structure.

Authors:  F H van Batenburg; A P Gultyaev; C W Pleij
Journal:  J Theor Biol       Date:  1995-06-07       Impact factor: 2.691

Review 3.  Ligand-protein docking and rational drug design.

Authors:  T P Lybrand
Journal:  Curr Opin Struct Biol       Date:  1995-04       Impact factor: 6.809

4.  A simple protein folding algorithm using a binary code and secondary structure constraints.

Authors:  S Sun; P D Thomas; K A Dill
Journal:  Protein Eng       Date:  1995-08

5.  Identification of common functional configurations among molecules.

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

6.  Prediction of the folding of short polypeptide segments by uniform conformational sampling.

Authors:  R E Bruccoleri; M Karplus
Journal:  Biopolymers       Date:  1987-01       Impact factor: 2.505

7.  Flexible ligand docking using a genetic algorithm.

Authors:  C M Oshiro; I D Kuntz; J S Dixon
Journal:  J Comput Aided Mol Des       Date:  1995-04       Impact factor: 3.686

8.  Identifying the tertiary fold of small proteins with different topologies from sequence and secondary structure using the genetic algorithm and extended criteria specific for strand regions.

Authors:  T Dandekar; P Argos
Journal:  J Mol Biol       Date:  1996-03-01       Impact factor: 5.469

9.  Artificial neural networks and simulated molecular evolution are potential tools for sequence-oriented protein design.

Authors:  G Schneider; J Schuchhardt; P Wrede
Journal:  Comput Appl Biosci       Date:  1994-12

10.  Meeting on binding sites: characterizing and satisfying steric and chemical restraints. University of York, 28-30 March 1993.

Authors:  T Slater; D Timms
Journal:  J Mol Graph       Date:  1993-12
View more
  9 in total

1.  Evaluation of the EVA descriptor for QSAR studies: 3. The use of a genetic algorithm to search for models with enhanced predictive properties (EVA_GA).

Authors:  D B Turner; P Willett
Journal:  J Comput Aided Mol Des       Date:  2000-01       Impact factor: 3.686

2.  SLATE: a method for the superposition of flexible ligands.

Authors:  J E Mills; I J de Esch; T D Perkins; P M Dean
Journal:  J Comput Aided Mol Des       Date:  2001-01       Impact factor: 3.686

3.  A genetic algorithm for the automated generation of small organic molecules: drug design using an evolutionary algorithm.

Authors:  D Douguet; E Thoreau; G Grassy
Journal:  J Comput Aided Mol Des       Date:  2000-07       Impact factor: 3.686

4.  Toward better QSAR/QSPR modeling: simultaneous outlier detection and variable selection using distribution of model features.

Authors:  Dongsheng Cao; Yizeng Liang; Qingsong Xu; Yifeng Yun; Hongdong Li
Journal:  J Comput Aided Mol Des       Date:  2010-11-13       Impact factor: 3.686

5.  Patenting computer-designed peptides.

Authors:  S Patel; I P Stott; M Bhakoo; P Elliott
Journal:  J Comput Aided Mol Des       Date:  1998-11       Impact factor: 3.686

Review 6.  Receptor-ligand molecular docking.

Authors:  Isabella A Guedes; Camila S de Magalhães; Laurent E Dardenne
Journal:  Biophys Rev       Date:  2013-12-21

7.  Molecular Docking: From Lock and Key to Combination Lock.

Authors:  Ashutosh Tripathi; Vytas A Bankaitis
Journal:  J Mol Med Clin Appl       Date:  2017-02-10

8.  Prediction of estrogen receptor binding for 58,000 chemicals using an integrated system of a tree-based model with structural alerts.

Authors:  Huixiao Hong; Weida Tong; Hong Fang; Leming Shi; Qian Xie; Jie Wu; Roger Perkins; John D Walker; William Branham; Daniel M Sheehan
Journal:  Environ Health Perspect       Date:  2002-01       Impact factor: 9.031

Review 9.  Advances in de Novo Drug Design: From Conventional to Machine Learning Methods.

Authors:  Varnavas D Mouchlis; Antreas Afantitis; Angela Serra; Michele Fratello; Anastasios G Papadiamantis; Vassilis Aidinis; Iseult Lynch; Dario Greco; Georgia Melagraki
Journal:  Int J Mol Sci       Date:  2021-02-07       Impact factor: 5.923

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.