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Classification of protein complexes based on docking difficulty
DOI:10.1002/prot.20554.png)
摘要
En 中文
Based on the results of several groups using different docking methods, the key properties that determine the expected success rate in protein-protein docking calculations are measures of conformational change. interlace area, and hydrophobicity. A classification of protein complexes in terms of these measures provides a prediction of docking difficulty. This classification is used to study the targets of the CAPRI docking experiment. Results show that targets with a moderate expected difficulty were indeed predicted well by a number of groups, whereas the use of additional a priori information was necessary to obtain good results for some very difficult targets. The analysis indicates that CAPRI and other relatively largescale docking studies represent very important steps toward understanding the capabilities and limitations of current protein-protein docking methods. (c) 2005 Wiley-Liss, Inc.
Keyword:
CAPRI docking experiment
docking algorithms
hydrophobicity
interface area
conformational change
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Taking geometry to its edge: Fast unbound rigid (and hinge-bent) docking将几何体带到其边缘: 快速未绑定的刚性 (和铰链弯曲) 对接

