Automated Protein Design and Sequence Optimisation: Scoring Functions and the Search Problem

被引:4
作者
Cootes, A. P. [1 ]
Curmi, P. M. G. [2 ]
Torda, A. E. [1 ]
机构
[1] Australian Natl Univ, Res Sch Chem, Canberra, ACT 0200, Australia
[2] Univ New S Wales, Sch Phys, Initiat Biomol Struct, Sydney, NSW 2052, Australia
关键词
D O I
10.2174/1389203003381351
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Advances in molecular biology may mean that almost any protein sequence can be synthesised, but perhaps this has served to highlight the inadequacy of theoretical work. For a given protein fold, it is probably not possible to reliably predict an "ideal" sequence. We identify and survey several aspects of the problem. Firstly, it is not clear what is the best way to score a sequence-structure pair. Secondly, there is no consensus as to what the score function should represent (free energy or some abstract measure of sequence-structure compatibility). Finally, the number of possible sequences is astronomical and searching this space poses a daunting optimisation problem. These problems are discussed in the light of recent experimental successes.
引用
收藏
页码:255 / 271
页数:17
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