Prediction of amino acid sequence from structure

Citation
K. Raha et al., Prediction of amino acid sequence from structure, PROTEIN SCI, 9(6), 2000, pp. 1106-1119
Citations number
47
Categorie Soggetti
Biochemistry & Biophysics
Journal title
PROTEIN SCIENCE
ISSN journal
09618368 → ACNP
Volume
9
Issue
6
Year of publication
2000
Pages
1106 - 1119
Database
ISI
SICI code
0961-8368(200006)9:6<1106:POAASF>2.0.ZU;2-K
Abstract
We have developed a method for the prediction of an amino acid sequence tha t is compatible with a three-dimensional backbone structure. Using only a b ackbone structure of a protein as input, the algorithm is capable of design ing sequences that closet!: resemble natural members of the protein family to which the template structure belongs. Ln general. the predicted sequence s are shown to have multiple sequence profile scores that are dramatically higher than those of random sequences, and sometimes better than some of th e natural sequences that make up the superfamily. As anticipated. highly co nserved but poorly predicted residues are often those that contribute to th e functional rather than structural properties of the protein. Overall, our analysis suggests that statistical profile scores of designed sequences ar e a novel and valuable figure of merit for assessing and improving protein design algorithms.