Literature DB >> 8441754

A geometrical constraint approach for reproducing the native backbone conformation of a protein.

S Saitoh1, T Nakai, K Nishikawa.   

Abstract

It is known that the backbone conformation of a protein can be reproduced with precision once a correct contact map (two-dimensional representation showing residue pairs in contact) is given as geometrical constraints. There is, however, no way to infer the correct contact map for a protein of unknown structure. We started with one-dimensional constraints using the quantity N14 (the number of neighboring residues within the radius of 14 A). Since the plot of N14 along a chain shows a good correlation with the corresponding amino acid sequence, the N14 profile obtained from the X-ray structure is predictable from the sequence. Construction of backbone conformations under a given N14 profile was carried out in the following two steps: (1) a contact map from the N14 profile was produced by taking the product of N14 values of every two residues; (2) backbone conformations were generated by applying the distance geometry technique to distance constraints given by the contact map. If present, disulfide bonds in a protein, as well as the secondary structure, were treated as additional constraints, and both cases with or without the additional information were examined. The method was tested for 11 proteins of known structure, and the results indicated that the reproduced conformation was fairly good, using an X-ray structure for comparison, for small proteins of less than 80 residues long. The basic assumption and effectiveness of the present method were compared with those of previous studies employing the geometrical constraint approach.(ABSTRACT TRUNCATED AT 250 WORDS)

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Year:  1993        PMID: 8441754     DOI: 10.1002/prot.340150209

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  6 in total

1.  Cooperativity and the origins of rapid, single-exponential kinetics in protein folding.

Authors:  Patrícia F N Faísca; Kevin W Plaxco
Journal:  Protein Sci       Date:  2006-07       Impact factor: 6.725

2.  Relationship between protein structure and geometrical constraints.

Authors:  O Lund; J Hansen; S Brunak; J Bohr
Journal:  Protein Sci       Date:  1996-11       Impact factor: 6.725

3.  Evaluation of residue-residue contact prediction in CASP10.

Authors:  Bohdan Monastyrskyy; Daniel D'Andrea; Krzysztof Fidelis; Anna Tramontano; Andriy Kryshtafovych
Journal:  Proteins       Date:  2013-08-31

4.  Forecasting residue-residue contact prediction accuracy.

Authors:  P P Wozniak; B M Konopka; J Xu; G Vriend; M Kotulska
Journal:  Bioinformatics       Date:  2017-11-01       Impact factor: 6.937

5.  Optimal contact definition for reconstruction of contact maps.

Authors:  Jose M Duarte; Rajagopal Sathyapriya; Henning Stehr; Ioannis Filippis; Michael Lappe
Journal:  BMC Bioinformatics       Date:  2010-05-27       Impact factor: 3.169

6.  Assessment of contact predictions in CASP12: Co-evolution and deep learning coming of age.

Authors:  Joerg Schaarschmidt; Bohdan Monastyrskyy; Andriy Kryshtafovych; Alexandre M J J Bonvin
Journal:  Proteins       Date:  2017-11-07
  6 in total

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