ArticleJournal of computer-aided molecular design2014
Testing the semi-explicit assembly model of aqueous solvation in the SAMPL4 challenge.
Article in Journal of computer-aided molecular design, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- How Water's Properties Are Encoded in Its Molecular Structure and Energies.Chemical reviews · 2017Article
- "Solvent hydrogen-bond occlusion": A new model of polar desolvation for biomolecular energetics.Journal of computational chemistry · 2017Article
- Preferential binding effects on protein structure and dynamics revealed by coarse-grained Monte Carlo simulation.The Journal of chemical physics · 2017Article
- Bayesian Model Averaging for Ensemble-Based Estimates of Solvation-Free Energies.The journal of physical chemistry. B · 2017Article
- Absolute binding free energy calculations of CBClip host-guest systems in the SAMPL5 blind challenge.Journal of computer-aided molecular design · 2017Article
- Adapting the semi-explicit assembly solvation model for estimating water-cyclohexane partitioning with the SAMPL5 molecules.Journal of computer-aided molecular design · 2016Article
- Small molecule solvation changes due to the presence of salt are governed by the cost of solvent cavity formation and dispersion.The Journal of chemical physics · 2014Article
- Blind prediction of solvation free energies from the SAMPL4 challenge.Journal of computer-aided molecular design · 2014Review
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Authors and funding
3 authors.
Funding
Abstract
Here, we test a method, called semi-explicit assembly (SEA), that computes the solvation free energies of molecules in water in the SAMPL4 blind test challenge. SEA was developed with the intention of being as accurate as explicit-solvent models, but much faster to compute. It is accurate because it uses pre-simulations of simple spheres in explicit solvent to obtain structural and thermodynamic quantities, and it is fast because it parses solute free energies into regionally additive quantities. SAMPL4 provided us the opportunity to make new tests of SEA. Our tests here lead us to the following conclusions: (1) The newest version, called Field-SEA, which gives improved predictions for highly charged ions, is shown here to perform as well as the earlier versions (dipolar and quadrupolar SEA) on this broad blind SAMPL4 test set. (2) We find that both the past and present SEA models give solvation free energies that are as accurate as TIP3P. (3) Using a new approach for force field parameter optimization, we developed improved hydroxyl parameters that ensure consistency with neat-solvent dielectric constants, and found that they led to improved solvation free energies for hydroxyl-containing compounds in SAMPL4. We also learned that these hydroxyl parameters are not just fixing solvent exposed oxygens in a general sense, and therefore do not improve predictions for carbonyl or carboxylic-acid groups. Other such functional groups will need their own independent optimizations for potential improvements. Overall, these tests in SAMPL4 indicate that SEA is an accurate, general and fast new approach to computing solvation free energies.
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