ZDOCK: An initial‐stage protein‐docking algorithm

Citations Over TimeTop 1% of 2003 papers

Abstract

The development of scoring functions is of great importance to protein docking. Here we present a new scoring function for the initial stage of unbound docking. It combines our recently developed pairwise shape complementarity with desolvation and electrostatics. We compare this scoring function with three other functions on a large benchmark of 49 nonredundant test cases and show its superior performance, especially for the antibody-antigen category of test cases. For 44 test cases (90% of the benchmark), we can retain at least one near-native structure within the top 2000 predictions at the 6 degrees rotational sampling density, with an average of 52 near-native structures per test case. The remaining five difficult test cases can be explained by a combination of poor binding affinity, large backbone conformational changes, and our algorithm's strong tendency for identifying large concave binding pockets. All four scoring functions have been integrated into our Fast Fourier Transform based docking algorithm ZDOCK, which is freely available to academic users at http://zlab.bu.edu/~ rong/dock.

Related Papers

• → CB-Dock2: improved protein–ligand blind docking by integrating cavity detection, docking and homologous template fitting(2022)1,534 cited
• → Docking unbound proteins using shape complementarity, desolvation, and electrostatics(2002)375 cited
• → Q‐Dock: Low‐resolution flexible ligand docking with pocket‐specific threading restraints(2008)55 cited
• → EROS-DOCK: protein–protein docking using exhaustive branch-and-bound rotational search(2019)10 cited
• → A New Pairwise Shape-Based Scoring Function to Consider Long-Range Interactions for Protein-Protein Docking(2017)9 cited