An ultrafast and accurate scoring function for protein−protein and protein-ligand docking is presented. It includes (1) a molecular mechanics (MM) part based on a 12−6 Lennard-Jones potential; (2) an electrostatic component based on an implicit solvent
model (ISM) with individual desolvation penalties for each partner in the protein−protein complex plus a hydrogen bonding term; and (3) a surface area (SA) contribution to account for the loss of water contacts upon protein−protein complex
formation. The accuracy and performance of the scoring function, termed MM-ISMSA, have been assessed by (1) comparing the total binding energies, the electrostatic term, and its components (charge−charge and individual desolvation energies), as well as
the per residue contributions, to results obtained with well-established methods such as APBSA or MM-PB(GB)SA for a set of 1242 decoy protein−protein complexes and (2) testing its ability to recognize the docking solution closest to the experimental
structure as that providing the most favorable total binding energy. For this purpose, a test set consisting of 15 protein−rotein complexes with known 3D structure mixed with 10 decoys for each complex was used. The correlation between the values
afforded by MM-ISMSA and those from the other methods is quite remarkable (r2 ∼ 0.9), and only 0.2−5.0 s (depending on the number of residues) are spent on a single calculation including an all vs all pairwise energy decomposition. On the other hand,
MM-ISMSA correctly identifies the best docking solution as that closest to the experimental structure in 80% of the cases. Finally, MM-ISMSA can process molecular dynamics trajectories and reports the results as averaged values with their standard
MM-ISMSA has been implemented as a plugin to the widely used molecular graphics program PyMOL, although it can also be executed in command-line mode.
MM-ISMSA is free distributed for non commercial purposes.
MM-ISMSA is ready for computing systems with NO WATER molecules in the following formats:
Guide-lines and Documentation: Download
Javier Klett, Alfonso Núñez-Salgado, Helena G. Dos Santos, Álvaro Cortés-Cabrera, Almudena Perona, Rubén Gil-Redondo, David Abia, Federico Gago, and Antonio Morreale
MM-ISMSA: an ultra-fast and accurate scoring function for protein-protein docking.
J. Chem. Theory Comput., 8, 3395-3408 (2012)
Morreale, A.; Gil-Redondo, R.; Ortiz, A.R.
A new implicit solvent model for protein-ligand docking.
Proteins 2007 May, 67: 606-16.