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.