Abstract | ||
---|---|---|
An automated procedure for protein design by optimiza- tion of a sequence-structure quality has been developed. The method selects a statistically optimal sequence for a particular structure, on the assumption that such a protein will adopt the desired structure. We present two optimi- zation algorithms: one provides an exact optimization while the other uses a combinatorial technique for com- paratively rapid results. Both are suitable for massively parallel computers. A prototype system was used to design sequences which should adopt the four-helix bundle conformation of myohemerythrin. These appear satisfactory to secondary structure and profile analysis. Detailed inspection reveals that the sequences are gener- ally plausible but, as expected, lack some specific struc- tural features. The design parameters provide some insight into the general determinants of protein structure. |
Year | Venue | Keywords |
---|---|---|
1994 | ISMB | protein design,protein structure,secondary structure |
Field | DocType | Volume |
Protein structure database,Computer science,Massively parallel,Protein design,Artificial intelligence,Optimization algorithm,Bioinformatics,Protein secondary structure,Machine learning,Bundle,Sequence analysis,Protein structure | Conference | 2 |
ISSN | Citations | PageRank |
1553-0833 | 0 | 0.34 |
References | Authors | |
2 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Steven E Brenner | 1 | 1679 | 308.17 |
Alan Berry | 2 | 0 | 0.34 |