PIPER
A state-of-the-art protein-protein docking program
Understand and predict protein-protein interactions at the atomic level
PIPER is a well-validated protein-protein docking program based on a multi-staged approach and advanced numerical methods that generates reliable structures of protein-protein complexes. Based on docking code from the Vajda lab at Boston University, PIPER has a proven track record as an outstanding predictor of protein-protein complexes as judged by previous CAPRI (Critical Assessment of Prediction of Interactions) blind experiments.
Key Capabilities
Easily set up and run protein-protein docking computations using the intuitive biologics interface, BioLuminate
Rapidly sample and score billions of relative orientations of interacting proteins using PIPER’s efficient Fast Fourier Transformation (FFT) approach, along with accurate pairwise potentials
Increase the number of near-native conformations in the initial selection of poses relative to other FFT-based docking programs, while reducing the number of false positives
Improve results using specialized potentials optimized for specific classes of protein–protein complexes such as antibody-antigen and enzyme-inhibitor pairs
Use experimental data to bias selection of the correct pose by applying a broad range of constraints, including attractive or repulsive biasing constraints or declare specific residues to be buried
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