Ben-Zeev Efrat, Berchanski Alexander, Heifetz Alexander, Shapira Boaz, Eisenstein Miriam
Department of Biological Chemistry, The Weizmann Institute of Science, Rehovot, Israel.
Proteins. 2003 Jul 1;52(1):41-6. doi: 10.1002/prot.10392.
We submitted predictions for all seven targets in the CAPRI experiment. For four targets, our submitted models included acceptable, medium accuracy predictions of the structures of the complexes, and for a fifth target we identified the location of the binding site of one of the molecules. We used a weighted-geometric docking algorithm in which contacts involving specified parts of the surfaces of either one or both molecules were up-weighted or down-weighted. The weights were based on available structural and biochemical data or on sequence analyses. The weighted-geometric docking proved very useful for five targets, improving the complementarity scores and the ranks of the nearly correct solutions, as well as their statistical significance. In addition, the weighted-geometric docking promoted formation of clusters of similar solutions, which include more accurate predictions.
我们提交了CAPRI实验中所有七个靶标的预测结果。对于四个靶标,我们提交的模型包含了对复合物结构可接受的、中等准确性的预测,对于第五个靶标,我们确定了其中一个分子结合位点的位置。我们使用了一种加权几何对接算法,其中涉及一个或两个分子表面特定部分的接触被加权上调或下调。权重基于可用的结构和生化数据或序列分析。加权几何对接被证明对五个靶标非常有用,提高了互补性得分、接近正确解决方案的排名及其统计显著性。此外,加权几何对接促进了相似解决方案簇的形成,其中包括更准确的预测。