F2Dock: Fast Fourier Protein-Protein Docking

被引:32
作者
Bajaj, Chandrajit [1 ,2 ]
Chowdhury, Rezaul [1 ,2 ]
Siddavanahalli, Vinay [3 ]
机构
[1] Univ Texas Austin, Dept Comp Sci, Computat Visualizat Ctr, Austin, TX 78712 USA
[2] Univ Texas Austin, Inst Computat Engn & Sci, Austin, TX 78712 USA
[3] Google Inc, Mountain View, CA 94043 USA
基金
美国国家科学基金会;
关键词
Computational structural biology; protein-protein interactions; fast Fourier transform; algorithms; docking; redocking; SHAPE COMPLEMENTARITY; MOLECULAR DOCKING; SURFACE COMPLEMENTARITY; RECOGNITION; ALGORITHM; ELECTROSTATICS; ROTATION;
D O I
10.1109/TCBB.2009.57
中图分类号
Q5 [生物化学];
学科分类号
070307 [化学生物学];
摘要
The functions of proteins are often realized through their mutual interactions. Determining a relative transformation for a pair of proteins and their conformations which form a stable complex, reproducible in nature, is known as docking. It is an important step in drug design, structure determination, and understanding function and structure relationships. In this paper, we extend our nonuniform fast Fourier transform-based docking algorithm to include an adaptive search phase (both translational and rotational) and thereby speed up its execution. We have also implemented a multithreaded version of the adaptive docking algorithm for even faster execution on multicore machines. We call this protein-protein docking code F(2)Dock (F-2 = Fast Fourier). We have calibrated F(2)Dock based on an extensive experimental study on a list of benchmark complexes and conclude that F(2)Dock works very well in practice. Though all docking results reported in this paper use shape complementarity and Coulombic-potential-based scores only, F(2)Dock is structured to incorporate Lennard-Jones potential and reranking docking solutions based on desolvation energy
引用
收藏
页码:45 / 58
页数:14
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