Gray Jeffrey J, Moughon Stewart E, Kortemme Tanja, Schueler-Furman Ora, Misura Kira M S, Morozov Alexandre V, Baker David
Howard Hughes Medical Institute and Department of Biochemistry, University of Washington, Seattle, Washington, USA.
Proteins. 2003 Jul 1;52(1):118-22. doi: 10.1002/prot.10384.
We predicted structures for all seven targets in the CAPRI experiment using a new method in development at the time of the challenge. The technique includes a low-resolution rigid body Monte Carlo search followed by high-resolution refinement with side-chain conformational changes and rigid body minimization. Decoys (approximately 10(6) per target) were discriminated using a scoring function including van der Waals and solvation interactions, hydrogen bonding, residue-residue pair statistics, and rotamer probabilities. Decoys were ranked, clustered, manually inspected, and selected. The top ranked model for target 6 predicted the experimental structure to 1.5 A RMSD and included 48 of 65 correct residue-residue contacts. Target 7 was predicted at 5.3 A RMSD with 22 of 37 correct residue-residue contacts using a homology model from a known complex structure. Using a preliminary version of the protocol in round 1, target 1 was predicted within 8.8 A although few contacts were correct. For targets 2 and 3, the interface locations and a small fraction of the contacts were correctly identified.
我们使用在挑战赛期间正在开发的一种新方法,预测了CAPRI实验中所有七个靶标的结构。该技术包括低分辨率刚体蒙特卡罗搜索,随后是考虑侧链构象变化和刚体最小化的高分辨率优化。使用包括范德华力和溶剂化相互作用、氢键、残基-残基对统计以及旋转异构体概率的评分函数来区分诱饵(每个靶标约10⁶个)。对诱饵进行排名、聚类、人工检查并选择。靶标6排名最高的模型预测的实验结构的均方根偏差(RMSD)为1.5 Å,并且在65个正确的残基-残基接触中包含48个。使用来自已知复合物结构的同源模型,靶标7预测的RMSD为5.3 Å,在37个正确的残基-残基接触中有22个。在第一轮中使用该方案的初步版本,尽管正确的接触很少,但靶标1的预测误差在8.8 Å以内。对于靶标2和3,正确识别了界面位置和一小部分接触。