首页> 美国卫生研究院文献>Nucleic Acids Research >Protein Interaction Z Score Assessment (PIZSA): an empirical scoring scheme for evaluation of protein–protein interactions
【2h】

Protein Interaction Z Score Assessment (PIZSA): an empirical scoring scheme for evaluation of protein–protein interactions

机译:蛋白质相互作用Z评分评估(PIZSA):用于评估蛋白质与蛋白质相互作用的经验评分方案

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

Our web server, PIZSA (), assesses the likelihood of protein–protein interactions by assigning a Z Score computed from interface residue contacts. Our score takes into account the optimal number of atoms that mediate the interaction between pairs of residues and whether these contacts emanate from the main chain or side chain. We tested the score on 174 native interactions for which 100 decoys each were constructed using ZDOCK. The native structure scored better than any of the decoys in 146 cases and was able to rank within the 95th percentile in 162 cases. This easily outperforms a competing method, CIPS. We also benchmarked our scoring scheme on 15 targets from the CAPRI dataset and found that our method had results comparable to that of CIPS. Further, our method is able to analyse higher order protein complexes without the need to explicitly identify chains as receptors or ligands. The PIZSA server is easy to use and could be used to score any input three-dimensional structure and provide a residue pair-wise break up of the results. Attractively, our server offers a platform for users to upload their own potentials and could serve as an ideal testing ground for this class of scoring schemes.
机译:我们的网络服务器PIZSA()通过分配从界面残基接触计算得出的Z分数来评估蛋白质之间相互作用的可能性。我们的得分考虑了介导残基对之间相互作用的最佳原子数,以及这些接触是发自主链还是侧链。我们测试了174种本机交互的得分,使用ZDOCK构建了100种诱饵。在146例病例中,天然结构得分高于任何诱饵,在162例病例中,其自然结构位居第95个百分位之内。这很容易胜过竞争方法CIPS。我们还对来自CAPRI数据集的15个目标的评分方案进行了基准测试,发现我们的方法的结果与CIPS相当。此外,我们的方法能够分析高级蛋白质复合物,而无需明确鉴定链是受体还是配体。 PIZSA服务器易于使用,可用于对任何输入的三维结构进行评分,并提供残基成对分解结果。有吸引力的是,我们的服务器为用户提供了一个平台,供他们上传自己的潜力,并且可以用作此类评分方案的理想测试平台。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号