Docking with PIPER and refinement with SDU in rounds 6-11 of CAPRI.

Proteins

BioMolecular Engineering Research Center, Boston University, Boston, Massachusetts 02215, USA.

Published: December 2007

AI Article Synopsis

  • Our protein-protein docking method involves three main steps: using PIPER for initial rigid body docking, clustering the best conformations, and refining them with a new optimization method called SDU.
  • PIPER enhances docking accuracy by utilizing a new interaction potential based on the DARS principle, leading to a higher number of near-native structures.
  • The SDU method finds global energy minima effectively, guiding future sampling to improve predictions on various protein targets without needing biological data in most cases.

Article Abstract

Our approach to protein-protein docking includes three main steps. First we run PIPER, a new rigid body docking program. PIPER is based on the Fast Fourier Transform (FFT) correlation approach that has been extended to use pairwise interactions potentials, thereby substantially increasing the number of near-native structures generated. The interaction potential is also new, based on the DARS (Decoys As the Reference State) principle. In the second step, the 1000 best energy conformations are clustered, and the 30 largest clusters are retained for refinement. Third, the conformations are refined by a new medium-range optimization method SDU (Semi-Definite programming based Underestimation). SDU has been developed to locate global minima within regions of the conformational space in which the energy function is funnel-like. The method constructs a convex quadratic underestimator function based on a set of local energy minima, and uses this function to guide future sampling. The combined method performed reliably without the direct use of biological information in most CAPRI problems that did not require homology modeling, providing acceptable predictions for targets 21, and medium quality predictions for targets 25 and 26.

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Source
http://dx.doi.org/10.1002/prot.21754DOI Listing

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