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论文类型：期刊论文

发表时间：2015-02-18

发表刊物：ALGORITHMS FOR MOLECULAR BIOLOGY

收录刊物：SCIE、PubMed、Scopus

卷号：10

期号：1

页面范围：8

ISSN号：1748-7188

关键字：Multi-objective; Molecular docking; Scoring function; Optimization

摘要：Background: As a main method of structure-based virtual screening, molecular docking is the most widely used in practice. However, the non-ideal efficacy of scoring functions is thought as the biggest barrier which hinders the improvement of the molecular docking method.
   Results: A new multi-objective strategy for molecular docking, named as MoDock, is presented to further improve the docking accuracy with available scoring functions. Instead of simple combination of multiple objectives with fixed weight factors, an aggregate function is adopted to approximate the real solution of the original multi-objective and multi-constraint problem, which will simultaneously smooth the energy surface of the combined scoring functions. Then, method of centers and genetic algorithm are used to find the optimal solution. Tests of MoDock against the GOLD test data set reveal the multi-objective strategy improves the docking accuracy over the individual scoring functions. Meanwhile, a 70% ratio of the good docking solutions with the RMSD value below 1.0 angstrom outperforms other 6 commonly used docking programs, even with a flexible receptor docking program included.
   Conclusions: The results show MoDock is an effective strategy to overcome the deviations brought by single scoring function, and improves the prediction power of molecular docking.