The recognition of protein structure and function from sequence: adding value to genome data.

A. C. May, M. S. Johnson, S. D. Rufino, H. Wako, Z. Y. Zhu, R. Sowdhamini, N. Srinivasan, M. A. Rodionov, T. L. Blundell

Research output: Contribution to journalReview article

15 Citations (Scopus)

Abstract

The explosion of DNA sequence data from genome projects presents many challenges. For instance, we must extend our current knowledge of protein structure and function so that it can be applied to these new sequences. The derivation of rules for the relationships between sequence and structure allow us to recognize a common fold by the use of tertiary templates. New techniques enable us to begin to meet the challenge of rule-based modelling of distantly related proteins. This paper describes an integrated and knowledge-based approach to the prediction of protein structure and function which can maximize the value of sequence information.

Original languageEnglish
Pages (from-to)373-381
Number of pages9
JournalPhilosophical transactions of the Royal Society of London. Series B, Biological sciences
Volume344
Issue number1310
DOIs
Publication statusPublished - 1994 Jun 29

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ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)

Cite this

May, A. C., Johnson, M. S., Rufino, S. D., Wako, H., Zhu, Z. Y., Sowdhamini, R., Srinivasan, N., Rodionov, M. A., & Blundell, T. L. (1994). The recognition of protein structure and function from sequence: adding value to genome data. Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 344(1310), 373-381. https://doi.org/10.1098/rstb.1994.0076