TY - JOUR
T1 - Validation of free energy methods in AMBER
AU - Tsai, Hsu Chun
AU - Tao, Yujun
AU - Lee, Tai Sung
AU - Merz, Kenneth M.
AU - York, Darrin M.
N1 - Funding Information:
The authors thank Benoît Roux and Stefan Boresch for useful discussions. The authors are grateful for financial support provided by the National Institutes of Health (GM107485 to D.M.Y. and GM130641 to K.M.M.). Computational resources were provided by the MSU HPC, the Office of Advanced Research Computing (OARC) at Rutgers, The State University of New Jersey, and by the Extreme Science and Engineering Discovery Environment (XSEDE), which is supported by National Science Foundation Grant OCI-1053575 (Project TG-MCB110101). We gratefully acknowledge the support of nVidia Corporation through the donation of several Pascal, Volta, and Turing GPUs and GPU time on a GPU cluster where the reported benchmark results were performed.
PY - 2020/11/23
Y1 - 2020/11/23
N2 - Herein we provide high-precision validation tests of the latest GPU-accelerated free energy code in AMBER. We demonstrate that consistent free energy results are obtained in both the gas phase and in solution. We first show, in the context of thermodynamic integration (TI), that the results are invariant with respect to "split"(e.g., stepwise decharge-vdW-recharge) versus "unified"protocols. This brought to light a subtle inconsistency in previous versions of AMBER that was traced to the improper treatment of 1-4 vdW and electrostatic interactions involving atoms across the softcore boundary. We illustrate that under the assumption that the ensembles produced by different legs of the alchemical transformation between molecules A and B in the gas phase and aqueous phase are very small, the inconsistency in the relative hydration free energy ΔΔGhydr[A → B] = ΔGaq[A → B] - ΔGgas[A → B] is minimal. However, for general cases where the ensembles are shown to be substantially different, as expected in ligand-protein binding applications, these errors can be large. Finally, we demonstrate that results for relative hydration free energy simulations are independent of TI or multistate Bennett's acceptance ratio (MBAR) analysis, invariant to the specific choice of the softcore region, and in agreement with results derived from absolute hydration free energy values.
AB - Herein we provide high-precision validation tests of the latest GPU-accelerated free energy code in AMBER. We demonstrate that consistent free energy results are obtained in both the gas phase and in solution. We first show, in the context of thermodynamic integration (TI), that the results are invariant with respect to "split"(e.g., stepwise decharge-vdW-recharge) versus "unified"protocols. This brought to light a subtle inconsistency in previous versions of AMBER that was traced to the improper treatment of 1-4 vdW and electrostatic interactions involving atoms across the softcore boundary. We illustrate that under the assumption that the ensembles produced by different legs of the alchemical transformation between molecules A and B in the gas phase and aqueous phase are very small, the inconsistency in the relative hydration free energy ΔΔGhydr[A → B] = ΔGaq[A → B] - ΔGgas[A → B] is minimal. However, for general cases where the ensembles are shown to be substantially different, as expected in ligand-protein binding applications, these errors can be large. Finally, we demonstrate that results for relative hydration free energy simulations are independent of TI or multistate Bennett's acceptance ratio (MBAR) analysis, invariant to the specific choice of the softcore region, and in agreement with results derived from absolute hydration free energy values.
UR - http://www.scopus.com/inward/record.url?scp=85092069618&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85092069618&partnerID=8YFLogxK
U2 - 10.1021/acs.jcim.0c00285
DO - 10.1021/acs.jcim.0c00285
M3 - Article
C2 - 32551593
AN - SCOPUS:85092069618
VL - 60
SP - 5296
EP - 5300
JO - Journal of Chemical Information and Modeling
JF - Journal of Chemical Information and Modeling
SN - 1549-9596
IS - 11
ER -