Literature DB >> 513136

Refined models for computer simulation of protein folding. Applications to the study of conserved secondary structure and flexible hinge points during the folding of pancreatic trypsin inhibitor.

B Robson, D J Osguthorpe.   

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Year:  1979        PMID： 513136     DOI： 10.1016/0022-2836(79)90494-7

Source DB:  PubMed          Journal:  J Mol Biol        ISSN： 0022-2836            Impact factor:   5.469


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  9 in total

1.  Inferring ideal amino acid interaction forms from statistical protein contact potentials.

Authors:  Piotr Pokarowski; Andrzej Kloczkowski; Robert L Jernigan; Neha S Kothari; Maria Pokarowska; Andrzej Kolinski
Journal:  Proteins       Date:  2005-04-01

2.  Amino acid interaction preferences in proteins.

Authors:  Anupam Nath Jha; Saraswathi Vishveshwara; Jayanth R Banavar
Journal:  Protein Sci       Date:  2010-03       Impact factor: 6.725

3.  Monte Carlo-minimization approach to the multiple-minima problem in protein folding.

Authors:  Z Li; H A Scheraga
Journal:  Proc Natl Acad Sci U S A       Date:  1987-10       Impact factor: 11.205

4.  Amino acid side-chain partition energies and distribution of residues in soluble proteins.

Authors:  H R Guy
Journal:  Biophys J       Date:  1985-01       Impact factor: 4.033

5.  A unified hydrophobicity scale for multispan membrane proteins.

Authors:  Julia Koehler; Nils Woetzel; René Staritzbichler; Charles R Sanders; Jens Meiler
Journal:  Proteins       Date:  2009-07

6.  LoCo: a novel main chain scoring function for protein structure prediction based on local coordinates.

Authors:  Stewart E Moughon; Ram Samudrala
Journal:  BMC Bioinformatics       Date:  2011-09-15       Impact factor: 3.169

7.  Kinetic rate constant prediction supports the conformational selection mechanism of protein binding.

Authors:  Iain H Moal; Paul A Bates
Journal:  PLoS Comput Biol       Date:  2012-01-12       Impact factor: 4.475

8.  The scoring of poses in protein-protein docking: current capabilities and future directions.

Authors:  Iain H Moal; Mieczyslaw Torchala; Paul A Bates; Juan Fernández-Recio
Journal:  BMC Bioinformatics       Date:  2013-10-01       Impact factor: 3.169

9.  Predicting and improving the protein sequence alignment quality by support vector regression.

Authors:  Minho Lee; Chan-seok Jeong; Dongsup Kim
Journal:  BMC Bioinformatics       Date:  2007-12-03       Impact factor: 3.169
  9 in total

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