Literature DB >> 8320553

SPROUT: a program for structure generation.

V Gillet1, A P Johnson, P Mata, S Sike, P Williams.   

Abstract

SPROUT is a new computer program for constrained structure generation that is designed to generate molecules for a range of applications in molecular recognition. It uses artificial intelligence techniques to moderate the combinatorial explosion that is inherent in structure generation. The program is presented here for the design of enzyme inhibitors. Structure generation is divided into two phases: (i) primary structure generation to produce molecular graphs to fit the steric constraints; and (ii) secondary structure generation which is the process of introducing appropriate functionality to the graphs to produce molecules that satisfy the secondary constraints, e.g., electrostatics and hydrophobicity. Primary structure generation has been tested on two enzyme receptor sites; the p-amidino-phenyl-pyruvate binding site of trypsin and the acetyl pepstatin binding site of HIV-1 protease. The program successfully generates structures that resemble known substrates and, more importantly, the predictive power of the program has been demonstrated by its ability to suggest novel structures.

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Year:  1993        PMID: 8320553     DOI: 10.1007/bf00126441

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


  20 in total

1.  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

2.  Automated site-directed drug design using molecular lattices.

Authors:  R A Lewis; D C Roe; C Huang; T E Ferrin; R Langridge; I D Kuntz
Journal:  J Mol Graph       Date:  1992-06

Review 3.  3D database searching in drug design.

Authors:  Y C Martin
Journal:  J Med Chem       Date:  1992-06-12       Impact factor: 7.446

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.  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

6.  A method for fast energy estimation and visualization of protein-ligand interaction.

Authors:  N Tomioka; A Itai; Y Iitaka
Journal:  J Comput Aided Mol Des       Date:  1987-10       Impact factor: 3.686

Review 7.  Areas, volumes, packing and protein structure.

Authors:  F M Richards
Journal:  Annu Rev Biophys Bioeng       Date:  1977

8.  Energy functions for peptides and proteins. I. Derivation of a consistent force field including the hydrogen bond from amide crystals.

Authors:  A T Hagler; E Huler; S Lifson
Journal:  J Am Chem Soc       Date:  1974-08-21       Impact factor: 15.419

9.  Using shape complementarity as an initial screen in designing ligands for a receptor binding site of known three-dimensional structure.

Authors:  R L DesJarlais; R P Sheridan; G L Seibel; J S Dixon; I D Kuntz; R Venkataraghavan
Journal:  J Med Chem       Date:  1988-04       Impact factor: 7.446

10.  Crystallographic analysis of a complex between human immunodeficiency virus type 1 protease and acetyl-pepstatin at 2.0-A resolution.

Authors:  P M Fitzgerald; B M McKeever; J F VanMiddlesworth; J P Springer; J C Heimbach; C T Leu; W K Herber; R A Dixon; P L Darke
Journal:  J Biol Chem       Date:  1990-08-25       Impact factor: 5.157

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  40 in total

1.  DREAM++: flexible docking program for virtual combinatorial libraries.

Authors:  S Makino; T J Ewing; I D Kuntz
Journal:  J Comput Aided Mol Des       Date:  1999-09       Impact factor: 3.686

2.  Evaluation of designed ligands by a multiple screening method: application to glycogen phosphorylase inhibitors constructed with a variety of approaches.

Authors:  S S So; M Karplus
Journal:  J Comput Aided Mol Des       Date:  2001-07       Impact factor: 3.686

3.  A comparative docking study and the design of potentially selective MMP inhibitors.

Authors:  S Hanessian; N Moitessier; E Therrien
Journal:  J Comput Aided Mol Des       Date:  2001-10       Impact factor: 3.686

4.  Further development and validation of empirical scoring functions for structure-based binding affinity prediction.

Authors:  Renxiao Wang; Luhua Lai; Shaomeng Wang
Journal:  J Comput Aided Mol Des       Date:  2002-01       Impact factor: 3.686

5.  Q-fit: a probabilistic method for docking molecular fragments by sampling low energy conformational space.

Authors:  Richard M Jackson
Journal:  J Comput Aided Mol Des       Date:  2002-01       Impact factor: 3.686

6.  A new method for estimating the importance of hydrogen-bonding groups in the binding site of a protein.

Authors:  Matthew D Kelly; Ricardo L Mancera
Journal:  J Comput Aided Mol Des       Date:  2003-07       Impact factor: 3.686

Review 7.  A review of protein-small molecule docking methods.

Authors:  R D Taylor; P J Jewsbury; J W Essex
Journal:  J Comput Aided Mol Des       Date:  2002-03       Impact factor: 3.686

Review 8.  Structure-based discovery of antibacterial drugs.

Authors:  Katie J Simmons; Ian Chopra; Colin W G Fishwick
Journal:  Nat Rev Microbiol       Date:  2010-07       Impact factor: 60.633

9.  Electrostatic evaluation of isosteric analogues.

Authors:  Roger Sayle; Anthony Nicholls
Journal:  J Comput Aided Mol Des       Date:  2006-07-15       Impact factor: 3.686

Review 10.  From laptop to benchtop to bedside: structure-based drug design on protein targets.

Authors:  Lu Chen; John K Morrow; Hoang T Tran; Sharangdhar S Phatak; Lei Du-Cuny; Shuxing Zhang
Journal:  Curr Pharm Des       Date:  2012       Impact factor: 3.116

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