Literature DB >> 17914230

A method for computing the inter-residue interaction potentials for reduced amino acid alphabet.

Abhinav Luthra1, Anupam Nath Jha, G K Ananthasuresh, Saraswathi Vishveswara.   

Abstract

Inter-residue potentials are extensively used in the design and evaluation of protein structures. However,dealing with all (20 x 20) interactions becomes computationally difficult in extensive investigations. Hence, it is desirable to reduce the alphabet of 20 amino acids to a smaller number. Currently, several methods of reducing the residue types exist; however a critical assessment of these methods is not available. Towards this goal,here we review and evaluate different methods by comparing with the complete (20 x 20) matrix of Miyazawa-Jernigan potential, including a method of grouping adopted by us, based on multi dimensional scaling (MDS). The second goal of this paper is the computation of inter-residue interaction energies for the reduced amino acid alphabet, which has not been explicitly addressed in the literature until now. By using a least squares technique, we present a systematic method of obtaining the interaction energy values for any type of grouping scheme that reduces the amino acid alphabet. This can be valuable in designing the protein structures.

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Year:  2007        PMID: 17914230     DOI: 10.1007/s12038-007-0088-y

Source DB:  PubMed          Journal:  J Biosci        ISSN: 0250-5991            Impact factor:   1.826


  22 in total

1.  Simplified amino acid alphabets for protein fold recognition and implications for folding.

Authors:  L R Murphy; A Wallqvist; R M Levy
Journal:  Protein Eng       Date:  2000-03

2.  Folding alphabets.

Authors:  H S Chan
Journal:  Nat Struct Biol       Date:  1999-11

3.  A computational approach to simplifying the protein folding alphabet.

Authors:  J Wang; W Wang
Journal:  Nat Struct Biol       Date:  1999-11

4.  A general empirical model of protein evolution derived from multiple protein families using a maximum-likelihood approach.

Authors:  S Whelan; N Goldman
Journal:  Mol Biol Evol       Date:  2001-05       Impact factor: 16.240

5.  Grouping of residues based on their contact interactions.

Authors:  Jun Wang; Wei Wang
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2002-03-28

Review 6.  Molecular dynamics simulations of biomolecules.

Authors:  Martin Karplus; J Andrew McCammon
Journal:  Nat Struct Biol       Date:  2002-09

7.  Reduction of protein sequence complexity by residue grouping.

Authors:  Tanping Li; Ke Fan; Jun Wang; Wei Wang
Journal:  Protein Eng       Date:  2003-05

8.  Contact potential that recognizes the correct folding of globular proteins.

Authors:  V N Maiorov; G M Crippen
Journal:  J Mol Biol       Date:  1992-10-05       Impact factor: 5.469

9.  Amino acid substitution matrices from protein blocks.

Authors:  S Henikoff; J G Henikoff
Journal:  Proc Natl Acad Sci U S A       Date:  1992-11-15       Impact factor: 11.205

10.  The rapid generation of mutation data matrices from protein sequences.

Authors:  D T Jones; W R Taylor; J M Thornton
Journal:  Comput Appl Biosci       Date:  1992-06
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  1 in total

1.  A search for energy minimized sequences of proteins.

Authors:  Anupam Nath Jha; G K Ananthasuresh; Saraswathi Vishveshwara
Journal:  PLoS One       Date:  2009-08-19       Impact factor: 3.240

  1 in total

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