Amino acid similarity matrices based on force fields

Zsuzsanna Dosztaányi, Andrew E. Torda

Research output: Contribution to journalArticle

18 Citations (Scopus)

Abstract

Motivation: We propose a general method for deriving amino acid substitution matrices from low resolution force fields. Unlike current popular methods, the approach does not rely on evolutionary arguments or alignment of sequences or structures. Instead, residues are computationally mutated and their contribution to the total energy/score is collected. The average of these values over each position within a set of proteins results in a substitution matrix. Results: Example substitution matrices have been calculated from force fields based on different philosophies and their performance compared with conventional substitution matrices. Although this can produce useful substitution matrices, the methodology highlights the virtues, deficiencies and biases of the source force fields. It also allows a rather direct comparison of sequence alignment methods with the score functions underlying protein sequence to structure threading.

Original languageEnglish
Pages (from-to)686-699
Number of pages14
JournalBioinformatics
Volume17
Issue number8
DOIs
Publication statusPublished - Feb 2001

ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

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