Literature DB >> 2594727

A prediction of tertiary structures of peptide by the Monte Carlo simulated annealing method.

H Kawai1, T Kikuchi, Y Okamoto.   

Abstract

The Monte Carlo simulated annealing method has been applied to the prediction of three-dimensional structures of enkephalin. The low-energy conformations obtained were classified into a few groups of similar structures, which indicates that our method is effective. New low-energy structures were identified together with previously proposed structures.

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Year:  1989        PMID: 2594727     DOI: 10.1093/protein/3.2.85

Source DB:  PubMed          Journal:  Protein Eng        ISSN: 0269-2139


  7 in total

1.  A supermolecule study of the effect of hydration on the conformational behaviour of leucine-enkephalin.

Authors:  I N Demetropoulos; N Gresh
Journal:  J Comput Aided Mol Des       Date:  1991-04       Impact factor: 3.686

2.  An optimization approach to predicting protein structural class from amino acid composition.

Authors:  C T Zhang; K C Chou
Journal:  Protein Sci       Date:  1992-03       Impact factor: 6.725

3.  Prediction of protein folding types from amino acid composition by correlation angles.

Authors:  K C Chou
Journal:  Amino Acids       Date:  1994-10       Impact factor: 3.520

4.  De novo prediction of polypeptide conformations using dihedral probability grid Monte Carlo methodology.

Authors:  J S Evans; A M Mathiowetz; S I Chan; W A Goddard
Journal:  Protein Sci       Date:  1995-06       Impact factor: 6.725

5.  Conformational analysis of [Met5]-enkephalin: solvation and ionization considerations.

Authors:  L Carlacci
Journal:  J Comput Aided Mol Des       Date:  1998-03       Impact factor: 3.686

6.  A new approach to predicting protein folding types.

Authors:  K C Chou; C T Zhang
Journal:  J Protein Chem       Date:  1993-04

7.  The road not taken: retreat and diverge in local search for simplified protein structure prediction.

Authors:  Swakkhar Shatabda; M A Hakim Newton; Mahmood A Rashid; Duc Nghia Pham; Abdul Sattar
Journal:  BMC Bioinformatics       Date:  2013-01-21       Impact factor: 3.169

  7 in total

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