Li Bian, Mendenhall Jeffrey, Nguyen Elizabeth Dong, Weiner Brian E, Fischer Axel W, Meiler Jens
Department of Chemistry, Vanderbilt University, Nashville, Tennessee, 37232.
Center for Structural Biology, Vanderbilt University, Nashville, Tennessee, 37232.
Proteins. 2017 Jul;85(7):1212-1221. doi: 10.1002/prot.25281. Epub 2017 Apr 1.
One of the challenging problems in tertiary structure prediction of helical membrane proteins (HMPs) is the determination of rotation of α-helices around the helix normal. Incorrect prediction of helix rotations substantially disrupts native residue-residue contacts while inducing only a relatively small effect on the overall fold. We previously developed a method for predicting residue contact numbers (CNs), which measure the local packing density of residues within the protein tertiary structure. In this study, we tested the idea of incorporating predicted CNs as restraints to guide the sampling of helix rotation. For a benchmark set of 15 HMPs with simple to rather complicated folds, the average contact recovery (CR) of best-sampled models was improved for all targets, the likelihood of sampling models with CR greater than 20% was increased for 13 targets, and the average RMSD100 of best-sampled models was improved for 12 targets. This study demonstrated that explicit incorporation of CNs as restraints improves the prediction of helix-helix packing. Proteins 2017; 85:1212-1221. © 2017 Wiley Periodicals, Inc.
预测螺旋膜蛋白(HMPs)三级结构时面临的一个具有挑战性的问题是确定α螺旋围绕螺旋轴的旋转。螺旋旋转的错误预测会严重破坏天然的残基-残基接触,而对整体折叠的影响相对较小。我们之前开发了一种预测残基接触数(CNs)的方法,该方法用于衡量蛋白质三级结构中残基的局部堆积密度。在本研究中,我们测试了将预测的CNs作为约束条件来指导螺旋旋转采样的想法。对于一组包含15个具有简单到相当复杂折叠的HMPs的基准数据集,所有目标的最佳采样模型的平均接触恢复率(CR)均有所提高,13个目标采样到CR大于20%的模型的可能性增加,12个目标的最佳采样模型的平均RMSD100有所改善。这项研究表明,明确将CNs作为约束条件可改善螺旋-螺旋堆积的预测。《蛋白质》2017年;85:1212 - 1221。© 2017威利期刊公司。