RapidRMSD
RapidRMSD computes root mean square deviations (RMSDs) for flexible molecules using a reduced set of collective motions to enable rapid comparison and analysis of molecular conformations.
Key Features:
- Flexibility Modeling: Models molecular flexibility via a reduced set of collective motions derived from normal modes or principal component analysis (PCA).
- Initialization Complexity: Algorithm initialization scales linearly with the number of atoms.
- Evaluation Complexity: Subsequent RMSD evaluations depend only on the selected collective motions rather than all atoms, lowering per-evaluation cost.
- Computational Performance: Reduces computation time compared to traditional atom-wise RMSD methods that scale linearly with atom count.
- Ensemble Generation: Generates pseudo-random constant-RMSD structural ensembles for use in cross-docking studies.
Scientific Applications:
- Molecular Docking: Aids assessment of docking predictions and supports cross-docking studies through rapid flexible-molecule RMSD calculations and constant-RMSD ensembles.
- Clustering of Molecular Conformations: Enables clustering of spatially proximate conformations by providing fast RMSD evaluations based on collective motions.
- Molecular Dynamics Analysis: Supports clustering and analysis of MD trajectories to study conformational changes over time.
Methodology:
Uses a reduced set of collective motions derived from normal modes or PCA; algorithm initialization is linear in the number of atoms; RMSD evaluations depend solely on the selected collective motions.
Topics
Details
- License:
- BSD-2-Clause
- Tool Type:
- library
- Operating Systems:
- Linux, Mac
- Programming Languages:
- C++
- Added:
- 7/3/2018
- Last Updated:
- 11/25/2024
Operations
Publications
Neveu E, Popov P, Hoffmann A, Migliosi A, Besseron X, Danoy G, Bouvry P, Grudinin S. RapidRMSD: rapid determination of RMSDs corresponding to motions of flexible molecules. Bioinformatics. 2018;34(16):2757-2765. doi:10.1093/bioinformatics/bty160. PMID:29554205.
PMID: 29554205
Funding: - Agence Nationale de la Recherche: ANR-11-MONU-006-01
- Russian Science Foundation: 16-14-10273
- President of the Russian Federation: MK-5279.2018.4