| Autor: |
Eken Y; Department of Chemistry, Michigan State University, East Lansing, MI, 48864, USA., Almeida NMS; Department of Chemistry, Michigan State University, East Lansing, MI, 48864, USA., Wang C; Department of Chemistry, Michigan State University, East Lansing, MI, 48864, USA., Wilson AK; Department of Chemistry, Michigan State University, East Lansing, MI, 48864, USA. akwilson@msu.edu.; Department of Chemistry, University of North Texas, Denton, TX, 76201, USA. akwilson@msu.edu. |
| Abstrakt: |
Statistical Assessment of Modeling of Proteins and Ligands (SAMPL) challenges provide routes to compare chemical quantities determined using computational chemistry approaches to experimental measurements that are shared after the competition. For this effort, several computational methods have been used to calculate the binding energies of Octa Acid (OA) and exo-Octa Acid (exoOA) host-guest systems for SAMPL7. The initial poses for molecular dynamics (MD) were generated by molecular docking. Binding free energy calculations were performed using molecular mechanics combined with Poisson-Boltzmann or generalized Born surface area solvation (MMPBSA/MMGBSA) approaches. The factors that affect the utility of the MMPBSA/MMGBSA approaches including solvation, partial charge, and solute entropy models were also analyzed. In addition to MD calculations, quantum mechanics (QM) calculations were performed using several different density functional theory (DFT) approaches. From SAMPL6 results, B3PW91-D3 was found to overestimate binding energies though it was effective for geometry optimizations, so it was considered for the DFT geometry optimizations in the current study, with single-point energy calculations carried out with B2PLYP-D3 with double-, triple-, and quadruple-ζ level basis sets. Accounting for dispersion effects, and solvation models was deemed essential for the predictions. MMGBSA and MMPBSA correlated better to experiment when used in conjunction with an empirical/linear correction. |
