ABEEM Solver

ABEEM Solver calculates partial atomic charges in small organic and drug-like molecules using electronegativity equalization methods (EEM and ABEEM) grounded in density functional theory as a rapid alternative to ab initio quantum-mechanical calculations.


Key Features:

  • Equalization methods (EEM and ABEEM): Implements the EEM and ABEEM electronegativity equalization approaches for computing partial atomic charges.
  • ABEEM (DFT-based): ABEEM applies density functional theory principles to equalize atomic electronegativity and derive charge distributions.
  • WIRS parallel algorithm: Uses the Weighted Irreducible Subspace (WIRS) algorithm to accelerate the matrix reduction step, which is the most time-intensive part of the calculation.
  • Parallel execution via PVM: Supports parallel computing using Parallel Virtual Machine (PVM) to utilize multiple processors for computation.

Scientific Applications:

  • Drug Design: Provides partial atomic charges that inform atomic-level interaction modeling relevant to rational drug design and optimization.
  • Molecular Modeling: Supplies electrostatic charge information used in molecular geometry, conformation, and reactivity studies.
  • Quantum Chemistry Research: Facilitates studies of charge distribution, electronic properties, and reaction mechanisms in small organic molecules.

Methodology:

Employs EEM and ABEEM electronegativity equalization methods grounded in density functional theory, applies the WIRS algorithm for matrix reduction, and supports parallel execution via PVM.

Topics

Collections

Details

Maturity:
Legacy
Cost:
Free of charge
Tool Type:
command-line tool
Operating Systems:
Linux, Windows, Mac
Programming Languages:
C
Added:
12/2/2015
Last Updated:
11/25/2024

Operations

Publications

Vařeková RS, Koča J. Optimized and parallelized implementation of the electronegativity equalization method and the atom‐bond electronegativity equalization method. Journal of Computational Chemistry. 2005;27(3):396-405. doi:10.1002/jcc.20344. PMID:16381078.

Documentation