MolFit
MolFit performs rigid-body docking by representing molecules as three-dimensional grids of complex numbers and correlating these grids to estimate geometric and chemical surface complementarity.
Key Features:
- High Sensitivity: Produces sensitive docking solutions that remain reasonably accurate for structures undergoing moderate local conformational changes or for modeled structures.
- Rigid-Body Docking: Operates under a rigid-body assumption where molecules do not change shape during docking and can incorporate external biochemical or bioinformatic data to guide docking.
- Multibody Multistage Docking: Employs a rigid multibody multistage docking procedure to accommodate large global conformational changes, including domain movements.
- Ranking Challenges: Experiences challenges in ranking docking solutions, particularly for NMR or modeled structures when external data do not favor a single solution.
Scientific Applications:
- CAPRI protein–protein interaction prediction: Applied in CAPRI (Critical Assessment of PRediction of Interactions) experiments for predicting protein–protein interactions.
- Modeling conformational and multibody assemblies: Used to model complexes with moderate local conformational changes and multibody assemblies that involve domain movements.
Methodology:
Represents molecules as three-dimensional grids of complex numbers; correlates these grids to estimate geometric and chemical surface complementarity; applies rigid-body docking and a rigid multibody multistage docking procedure; uses external biochemical or bioinformatic data to guide docking and performs ranking of docking solutions (ranking selectivity may require readjustment).
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Ben‐Zeev E, Kowalsman N, Ben‐Shimon A, Segal D, Atarot T, Noivirt O, Shay T, Eisenstein M. Docking to single‐domain and multiple‐domain proteins: Old and new challenges. Proteins: Structure, Function, and Bioinformatics. 2005;60(2):195-201. doi:10.1002/prot.20557. PMID:15981268.