A density fitting scheme for the fast evaluation of molecular electrostatic potential

Area of Science:

• Computational chemistry
• Quantum chemistry
• Molecular modeling

Background:

• Molecular electrostatic potential (MEP) is vital for predicting molecular interactions and properties.
• Calculating MEP for macromolecules is computationally expensive due to O(N^2) scaling.

Purpose of the Study:

• To introduce and validate a density fitting approach for calculating MEP (DF-MEP).
• To demonstrate the efficiency and accuracy of DF-MEP for large molecular systems.

Main Methods:

• Implementation of density fitting techniques to approximate MEP calculations.
• Comparison of DF-MEP with conventional MEP (Conv-MEP) on a Trp-cage molecule.

Main Results:

• DF-MEP achieves accuracy comparable to Conv-MEP.
• DF-MEP reduces computational cost from O(N^2) to O(N) scaling.
• Significant reduction in computation time for macromolecular MEP calculations was observed.

Conclusions:

• DF-MEP offers a computationally efficient and accurate alternative for calculating MEP in large molecules.
• This method overcomes the limitations of conventional MEP calculations for macromolecules.
• DF-MEP enables broader applications of MEP in fields like drug discovery and materials science.