4.7 Article

Statistical Analysis on the Performance of Molecular Mechanics Poisson-Boltzmann Surface Area versus Absolute Binding Free Energy Calculations: Bromodomains as a Case Study

Journal

JOURNAL OF CHEMICAL INFORMATION AND MODELING
Volume 57, Issue 9, Pages 2203-2221

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acs.jcim.7b00347

Keywords

-

Funding

  1. EPSRC
  2. Evotec via the Systems Approaches to Biomedical Sciences Doctoral Training Centre [EP/G037280/1]
  3. AbbVie [1097737]
  4. Bayer [1097737]
  5. Boehringer Ingelheim [1097737]
  6. Canada Foundation for Innovation [1097737]
  7. Canadian Institutes for Health Research [1097737]
  8. Genome Canada [1097737]
  9. GlaxoSmithKline [1097737]
  10. Janssen [1097737]
  11. Lilly Canada [1097737]
  12. Novartis Research Foundation [1097737]
  13. Ontario Ministry of Economic Development and Innovation [1097737]
  14. Pfizer [1097737]
  15. Takeda [1097737]
  16. Wellcome Trust [092809/Z/10/Z]
  17. EPSRC UK National Service for Computational Chemistry Software (NSCCS) at Imperial College London [EP/J003921/1]
  18. EPSRC [EP/L000253/1]

Ask authors/readers for more resources

Binding free energy calculations that make use of alchemical pathways are becoming increasingly feasible thanks to advances in hardware and algorithms. Although relative binding free energy (RBFE) calculations are starting to find widespread use, absolute binding free energy (ABFE) calculations are still being explored mainly in academic settings due to the high computational requirements and still uncertain predictive value. However, in some drug design scenarios, RBFE calculations are not applicable and ABFE calculations could provide an alternative. Computationally cheaper end-point calculations in implicit solvent, such as molecular mechanics Poisson-Boltzmann surface area (MMPBSA) calculations, could too be used if one is primarily interested in a relative ranking of affinities. Here, we compare MMPBSA calculations to previously performed absolute alchemical free energy calculations in their ability to correlate with experimental binding free energies for three sets of bromodomain inhibitor pairs. Different MMPBSA approaches have been considered, including a standard single-trajectory protocol, a protocol that includes a binding entropy estimate, and protocols that take into account the ligand hydration shell. Despite the improvements observed with the latter two MMPBSA approaches, ABFE calculations were found to be overall superior in obtaining correlation with experimental affinities for the test cases considered. A difference in weighted average Pearson ((r) over bar (p)) and Spearman ((r) over bar (s)) correlations of 0.25 and 0.31 was observed when using a standard single-trajectory MMPBSA setup ((r) over bar (p) = 0.64 and (r) over bar (s) = 0.66 for ABFE; (r) over bar (p) = 0.39 and (r) over bar (s) = 0.35 for MMPBSA). The best performing MMPBSA protocols returned weighted average Pearson and Spearman correlations that were about 0.1 inferior to ABFE calculations: (r) over bar (p) = 0.55 and (r) over bar (s) = 0.56 when including an entropy estimate, and (r) over bar (p) = 0.53 and (r) over bar (s) = 0.55 when including explicit water molecules. Overall, the study suggests that ABFE calculations are indeed the more accurate approach, yet there is also value in MMPBSA calculations considering the lower compute requirements, and if agreement to experimental affinities in absolute terms is not of interest. Moreover, for the specific protein ligand systems considered in this study, we find that including an explicit ligand hydration shell or a binding entropy estimate in the MMPBSA calculations resulted in significant performance improvements at a negligible computational cost.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available