Department of Computer Science, University of Missouri, Columbia, Missouri, United States of America.
PLoS One. 2013 Jul 19;8(7):e69648. doi: 10.1371/journal.pone.0069648. Print 2013.
Protein structure refinement refers to the process of improving the qualities of protein structures during structure modeling processes to bring them closer to their native states. Structure refinement has been drawing increasing attention in the community-wide Critical Assessment of techniques for Protein Structure prediction (CASP) experiments since its addition in 8(th) CASP experiment. During the 9(th) and recently concluded 10(th) CASP experiments, a consistent growth in number of refinement targets and participating groups has been witnessed. Yet, protein structure refinement still remains a largely unsolved problem with majority of participating groups in CASP refinement category failed to consistently improve the quality of structures issued for refinement. In order to alleviate this need, we developed a completely automated and computationally efficient protein 3D structure refinement method, i3Drefine, based on an iterative and highly convergent energy minimization algorithm with a powerful all-atom composite physics and knowledge-based force fields and hydrogen bonding (HB) network optimization technique. In the recent community-wide blind experiment, CASP10, i3Drefine (as 'MULTICOM-CONSTRUCT') was ranked as the best method in the server section as per the official assessment of CASP10 experiment. Here we provide the community with free access to i3Drefine software and systematically analyse the performance of i3Drefine in strict blind mode on the refinement targets issued in CASP10 refinement category and compare with other state-of-the-art refinement methods participating in CASP10. Our analysis demonstrates that i3Drefine is only fully-automated server participating in CASP10 exhibiting consistent improvement over the initial structures in both global and local structural quality metrics. Executable version of i3Drefine is freely available at http://protein.rnet.missouri.edu/i3drefine/.
蛋白质结构精修是指在结构建模过程中改进蛋白质结构质量,使其更接近天然状态的过程。自第 8 届 CASP 实验开始引入结构精修以来,该技术在全领域的蛋白质结构预测技术评估(Critical Assessment of techniques for Protein Structure prediction,CASP)实验中受到越来越多的关注。在第 9 届和最近结束的第 10 届 CASP 实验中,参与精修的目标数量和小组数量都有所增加。然而,蛋白质结构精修仍然是一个尚未完全解决的问题,大多数参与 CASP 精修类别的小组未能持续提高精修结构的质量。为了满足这一需求,我们开发了一种完全自动化且计算效率高的蛋白质 3D 结构精修方法 i3Drefine,该方法基于迭代和高度收敛的能量最小化算法,具有强大的全原子复合物理和基于知识的力场以及氢键(Hydrogen Bonding,HB)网络优化技术。在最近的全领域盲测实验 CASP10 中,根据 CASP10 实验的官方评估,i3Drefine(作为“MULTICOM-CONSTRUCT”)在服务器组中排名第一。在这里,我们向社区提供免费访问 i3Drefine 软件的机会,并在严格的盲测模式下系统地分析 i3Drefine 在 CASP10 精修类别中发布的精修目标上的性能,并与其他参与 CASP10 的最先进的精修方法进行比较。我们的分析表明,i3Drefine 是唯一完全自动化的服务器,它在全局和局部结构质量指标上都对初始结构进行了持续改进,并且参与了 CASP10。可执行版本的 i3Drefine 可在 http://protein.rnet.missouri.edu/i3drefine/ 免费获得。