LEAP: highly accurate prediction of protein loop conformations by integrating coarse-grained sampling and optimized energy scores with all-atom refinement of backbone and side chains.

LEAP: highly accurate prediction of protein loop conformations by integrating coarse-grained sampling and optimized energy scores with all-atom refinement of backbone and side chains.
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LEAP:高度准确地预测了蛋白质环构象,通过将粗粒抽样和优化能量评分与主链和侧链进行全部完善。

DOI:
10.1002/jcc.23509
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发表时间:
2014-02-05
影响因子:
3
通讯作者:
Zhou, Yaoqi
Zhou, Yaoqi
中科院分区:
化学3区
文献类型:
--
作者:
Liang, Shide;Zhang, Chi;Zhou, Yaoqi

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Prediction of protein loop conformations without any prior knowledge (ab initio prediction) is an unsolved problem. Its solution will significantly impact protein homology and template-based modeling as well as ab initio protein-structure prediction. Here, we developed a coarse-grained, optimized scoring function for initial sampling and ranking of loop decoys. The resulting decoys are then further optimized in backbone and side-chain conformations and ranked by all-atom energy scoring functions. The final integrated technique called LEAP (Loop prediction by Energy-Assisted Protocol) achieved a median value of 2.1Å RMSD for 325 12-residue test loops and 2.0 Å RMSD for 45 12-residue loops of CASP 10 target proteins with native core structures (backbone and side chains). If all side-chain conformations in protein cores were predicted in the absence of the target loop, loop prediction accuracy only reduces slightly (0.2Å difference in RMSD for 12-residue loops in the CASP target proteins). The accuracy obtained is about 1Å RMSD or more improvement over other methods we tested. The executable file for a Linux system is freely available for academic users at http://sparks-lab.org.
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发表时间: 2010-07-20
影响因子: --
作者:
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通讯作者: Jakobsson E
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