APBScore

APBScore evaluates molecular interactions between receptors and ligands to estimate binding affinity in protein–ligand complexes using pairwise van der Waals (VDW), electrostatic, and hydrogen-bond energy terms.


Key Features:

  • Physical-Based Scoring Function: Incorporates pairwise van der Waals (VDW) forces, electrostatic interactions, and hydrogen-bond energies to score receptor–ligand complexes.
  • Performance on Benchmark Datasets: Testing shows APBScore performs well across benchmark datasets and ranks highly in scenarios involving zinc/ligand complexes.
  • Ranking and Docking Capabilities: Provides ranking of potential ligands and supports docking evaluations, outperforming several traditional scoring functions in benchmark comparisons.
  • Sensitivity to Atomic Collisions: Identifies decoy structures exhibiting receptor/ligand atomic collisions to flag sterically unfavorable configurations.
  • Optimization and Structural Minimization: Uses optimized atom-pair VDW parameters and structural minimization of initial complexes to refine energy estimates.
  • Specialized Treatment of Zinc/Ligand Interactions: Implements specific optimizations for zinc/ligand interactions to improve scoring of metalloprotein complexes.

Scientific Applications:

  • Virtual Screening: Ranks large ligand libraries in virtual screening campaigns to identify promising candidates.
  • Docking Simulations: Aids docking simulations by evaluating binding poses and discriminating decoys from plausible complexes.
  • Drug Discovery and Rational Design: Supports lead identification and rational design of therapeutics by estimating binding affinities.
  • Metalloprotein Studies: Facilitates analysis of metalloproteins through specialized scoring of zinc/ligand complexes.

Methodology:

Calculates atom-pair interaction energies (pairwise VDW, electrostatics, and hydrogen-bond energies), detects receptor/ligand atomic collisions, and refines scores via structural minimization with optimized atom-pair VDW parameters and specific optimizations for metal‑ligand (zinc) interactions.

Topics

Details

License:
GPL-3.0
Programming Languages:
Fortran
Added:
1/18/2021
Last Updated:
1/24/2021

Operations

Publications

Bao J, He X, Zhang JZ. Development of a New Scoring Function for Virtual Screening: APBScore. Journal of Chemical Information and Modeling. 2020;60(12):6355-6365. doi:10.1021/acs.jcim.0c00474. PMID:33052694.

PMID: 33052694
Funding: - Natural Science Foundation of Shanghai: 18ZR1412600 - Ministry of Science and Technology of the People's Republic of China: 2016YFA0501700, 2019YFA0905201 - National Natural Science Foundation of China: 21673074, 21761132022, 21922301, 21933010, 91753103