Abstract
A series of density functional/basis set combinations and second-order Møller–Plesset calculations have been used to test their ability to reproduce the trends observed experimentally for the strengths of hydrogen-bond acceptors in order to identify computationally efficient techniques for routine use in the computational drug-design process. The effects of functionals, basis sets, counterpoise corrections, and constraints on the optimized geometries were tested and analyzed, and recommendations (M06-2X/cc-pVDZ and X3LYP/cc-pVDZ with single-point counterpoise corrections or X3LYP/aug-cc-pVDZ without counterpoise) were made for suitable moderately high-throughput techniques.
| Original language | English |
|---|---|
| Pages (from-to) | 3262-3272 |
| Journal | Journal of Chemical Information and Modelling |
| Volume | 53 |
| Issue number | 12 |
| Early online date | 1 Dec 2013 |
| DOIs | |
| Publication status | Published - 1 Dec 2013 |