MM-ISMSA
MM-ISMSA provides an ultrafast scoring function to evaluate protein-protein docking binding energies and per-residue energy decompositions using molecular mechanics, implicit solvation, and surface-area contributions.
Key Features:
- Molecular Mechanics (MM) Component: Employs a 12-6 Lennard-Jones potential to compute non-bonded interactions in protein complexes.
- Electrostatics and Solvation Model: Incorporates an implicit solvent model (ISM) with individual desolvation penalties per partner and a hydrogen-bonding term for electrostatic assessment.
- Surface Area (SA) Contribution: Accounts for loss of water contacts upon complex formation via a surface-area term.
- Energy Decomposition: Computes per-residue and all-vs-all pairwise decompositions of total binding energies and interaction terms.
- Performance Evaluation: Benchmarked against APBSA and MM-PB(GB)SA on 1,242 decoy complexes comparing total binding energies, electrostatic terms, charge-charge interactions, desolvation energies, and per-residue contributions.
- Docking Model Selection Accuracy: On a test set of 15 protein-protein complexes with decoys, achieved a correlation of r² ∼ 0.9 with established methods and identified the best docking solution in 80% of cases.
- Computational Efficiency: Requires approximately 0.2–5.0 seconds per calculation depending on residue count, enabling extensive energy decompositions.
- Molecular Dynamics Trajectory Processing: Processes MD trajectories to produce averaged results with standard deviations.
Scientific Applications:
- Protein-Protein Docking Scoring: Scores and ranks docking models by total binding energy.
- Binding Energy and Interaction Analysis: Quantifies Lennard-Jones, electrostatic, charge-charge, desolvation, hydrogen-bonding, and surface-area contributions to binding.
- Per-Residue Energetic Decomposition: Identifies residue-level contributions to complex stability.
- Docking Model Validation: Selects docking solutions closest to experimental structures based on binding energy.
- MD-Based Interaction Analysis: Analyzes averaged energetic properties and their variability over molecular dynamics trajectories.
Methodology:
Scoring combines a Molecular Mechanics 12-6 Lennard-Jones potential, electrostatics modeled with an implicit solvent model (ISM) including individual desolvation penalties and a hydrogen-bonding term, a surface-area loss-of-water contacts term, and computes per-residue and all-vs-all pairwise energy decompositions and averages over molecular dynamics trajectories.
Topics
Details
- Tool Type:
- desktop application
- Operating Systems:
- Linux, Windows
- Programming Languages:
- Perl, Python, C
- Added:
- 8/3/2017
- Last Updated:
- 12/10/2018
Operations
Data Inputs & Outputs
Protein-protein interaction prediction
Publications
Klett J, et al. MM-ISMSA: An Ultrafast and Accurate Scoring Function for Protein-Protein Docking. J Chem Theory Comput. 2012; 8:3395-408. doi: 10.1021/ct300497z