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

Documentation