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Residue contact-count potentials are as effective as residue-residue contact-type potentials for ranking protein decoys

机译：残基接触计数电位与残基残留接触类型电位对蛋白质诱饵的排名一样有效

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BackgroundFor over 30 years potentials of mean force have been used to evaluate the relative energy of protein structures. The most commonly used potentials define the energy of residue-residue interactions and are derived from the empirical analysis of the known protein structures. However, single-body residue 'environment' potentials, although widely used in protein structure analysis, have not been rigorously compared to these classical two-body residue-residue interaction potentials. Here we do not try to combine the two different types of residue interaction potential, but rather to assess their independent contribution to scoring protein structures.

机译：背景技术30多年来，平均力的潜力已用于评估蛋白质结构的相对能量。最常用的电势定义了残基-残基相互作用的能量，并源自对已知蛋白质结构的经验分析。但是，尽管单机构残基的“环境”势虽然已广泛用于蛋白质结构分析，但仍未与这些经典的两机残基-残基相互作用势进行严格比较。在这里，我们不尝试结合两种不同类型的残基相互作用潜能，而是评估它们对评分蛋白质结构的独立贡献。

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期刊名称 BMC Structural Biology
作者
Dan M Bolser; Ioannis Filippis; Henning Stehr; Jose Duarte; Michael Lappe;
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年(卷),期 2008(8),-1
年度 2008
页码 53
总页数 14
原文格式 PDF
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中图分类生物物理学;
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1. Residue contact-count potentials are as effective as residue-residue contact-type potentials for ranking protein decoys [J] . Dan M Bolser, Ioannis Filippis, Henning Stehr, BMC Structural Biology . 2008,第1期

机译：残基接触数电位与残基残基接触型电位对蛋白质诱饵的排名一样有效
2. RESIDUE-RESIDUE MEAN-FORCE POTENTIALS FOR PROTEIN STRUCTURE RECOGNITION [J] . Reva BA., Sanner MF., Olson AJ., Protein Engineering . 1997,第8期

机译：蛋白质结构识别的残基平均力
3. A new residue-nucleotide propensity potential with structural information considered for discriminating protein-RNA docking decoys. [J] . Li CH, Cao LB, Su JG, Proteins: Structure, Function, and Genetics . 2012,第1期

机译：具有识别蛋白质-RNA对接诱饵的结构信息的新残基-核苷酸倾向性。
4. Decoy Discrimination Using Contact Potentials Based on Delaunay Tessellation of Hydrated Proteins [C] . Reck, Gregory M., Vaisman, . 2007

机译：使用基于水合蛋白质Delaunay细分的接触电位进行诱饵识别
5. Predicting protein-protein interactions, interaction sites and residue-residue contact matrices with machine learning techniques. [D] . Du, Tianchuan. 2016

机译：使用机器学习技术预测蛋白质间相互作用，相互作用位点和残基-残基接触矩阵。
6. Modification and optimization of the united-residue (UNRES) potential-energy function for canonical simulations. I. Temperature dependence of the effective energy function and tests of the optimization method with single training proteins [O] . Adam Liwo, Mey Khalili, Cezary Czaplewski, -1

机译：典范模拟的联合残基（UNRES）势能函数的修改和优化。一有效能量函数的温度依赖性及单一训练蛋白的优化方法测试
7. Residue contact-count potentials are as effective as residue-residue contact-type potentials for ranking protein decoys [O] . 2008

机译：残基接触计数电位与残基残留接触类型电位对蛋白质诱饵的排名一样有效

Residue contact-count potentials are as effective as residue-residue contact-type potentials for ranking protein decoys

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