Fernández-Recio Juan, Totrov Maxim, Abagyan Ruben
Department of Molecular Biology, The Scripps Research Institute, La Jolla, California 92037, USA.
Proteins. 2003 Jul 1;52(1):113-7. doi: 10.1002/prot.10383.
The ICM-DISCO (Docking and Interface Side-Chain Optimization) protein-protein-docking method is a direct stochastic global energy optimization from multiple starting positions of the ligand. The first step is performed by docking of a rigid all-atom ligand molecule to a set of soft receptor potentials precalculated on a 0.5 A grid from realistic solvent-corrected force-field energies. This step finds the correct solution as the lowest energy conformation in almost 100% of the cases in which interfaces do not change on binding. The second step is needed to deal with the induced changes and includes the global optimization of the interface side-chains of up to 400 best solutions. The CAPRI predictions were performed fully automatically with this method. Available experimental information was included as a filtering step to favor expected docking surfaces. In three of the seven proposed targets, the ICM-DISCO method found a good solution (>50% of correct contacts) within the five submitted models. The procedure is global and fully automated. We demonstrate that the algorithm handles the induced changes of surface side-chains but is less successful if the backbone undergoes large-scale rearrangements.
ICM-DISCO(对接与界面侧链优化)蛋白质-蛋白质对接方法是从配体的多个起始位置进行直接随机全局能量优化。第一步是将刚性全原子配体分子与根据实际溶剂校正力场能量在0.5埃网格上预先计算的一组软受体势进行对接。在几乎100%的结合时界面不变的情况下,这一步能找到作为最低能量构象的正确解决方案。第二步用于处理诱导变化,包括对多达400个最佳解决方案的界面侧链进行全局优化。采用此方法对CAPRI进行了完全自动的预测。将可用的实验信息作为一个过滤步骤,以支持预期的对接表面。在七个提议的目标中的三个目标里,ICM-DISCO方法在提交的五个模型中找到了一个良好的解决方案(正确接触>50%)。该过程是全局且完全自动化的。我们证明该算法能处理表面侧链的诱导变化,但如果主链发生大规模重排则不太成功。