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 language | English |
|---|---|
| Pages (from-to) | 373-381 |
| Number of pages | 9 |
| Journal | Philosophical transactions of the Royal Society of London. Series B: Biological sciences |
| Volume | 344 |
| Issue number | 1310 |
| Publication status | Published - 1994 Jun 29 |
| Externally published | Yes |
Fingerprint
ASJC Scopus subject areas
- Agricultural and Biological Sciences(all)
- Agricultural and Biological Sciences (miscellaneous)
Cite this
The recognition of protein structure and function from sequence : adding value to genome data. / May, A. C.; Johnson, M. S.; Rufino, S. D.; Wako, Hiroshi; Zhu, Z. Y.; Sowdhamini, R.; Srinivasan, N.; Rodionov, M. A.; Blundell, T. L.
In: Philosophical transactions of the Royal Society of London. Series B: Biological sciences, Vol. 344, No. 1310, 29.06.1994, p. 373-381.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - The recognition of protein structure and function from sequence
T2 - adding value to genome data.
AU - May, A. C.
AU - Johnson, M. S.
AU - Rufino, S. D.
AU - Wako, Hiroshi
AU - Zhu, Z. Y.
AU - Sowdhamini, R.
AU - Srinivasan, N.
AU - Rodionov, M. A.
AU - Blundell, T. L.
PY - 1994/6/29
Y1 - 1994/6/29
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=0028782099&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0028782099&partnerID=8YFLogxK
M3 - Article
VL - 344
SP - 373
EP - 381
JO - Philosophical Transactions of the Royal Society B: Biological Sciences
JF - Philosophical Transactions of the Royal Society B: Biological Sciences
SN - 0962-8436
IS - 1310
ER -