Literature DB >> 24474161

Testing the semi-explicit assembly model of aqueous solvation in the SAMPL4 challenge.

Libo Li1, Ken A Dill, Christopher J Fennell.   

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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Year:  2014        PMID: 24474161     DOI: 10.1007/s10822-014-9712-8

Source DB:  PubMed          Journal:  J Comput Aided Mol Des        ISSN: 0920-654X            Impact factor:   3.686


  20 in total

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Authors:  J Peter Guthrie
Journal:  J Phys Chem B       Date:  2009-04-09       Impact factor: 2.991

7.  Testing the semi-explicit assembly solvation model in the SAMPL3 community blind test.

Authors:  Charles W Kehoe; Christopher J Fennell; Ken A Dill
Journal:  J Comput Aided Mol Des       Date:  2011-12-29       Impact factor: 3.686

8.  SAMPL4, a blind challenge for computational solvation free energies: the compounds considered.

Authors:  J Peter Guthrie
Journal:  J Comput Aided Mol Des       Date:  2014-04-06       Impact factor: 3.686

Review 9.  Blind prediction of solvation free energies from the SAMPL4 challenge.

Authors:  David L Mobley; Karisa L Wymer; Nathan M Lim; J Peter Guthrie
Journal:  J Comput Aided Mol Des       Date:  2014-03-11       Impact factor: 3.686

10.  Simple liquid models with corrected dielectric constants.

Authors:  Christopher J Fennell; Libo Li; Ken A Dill
Journal:  J Phys Chem B       Date:  2012-03-21       Impact factor: 2.991

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  7 in total

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Authors:  Emiliano Brini; S Shanaka Paranahewage; Christopher J Fennell; Ken A Dill
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Journal:  J Comput Chem       Date:  2017-03-20       Impact factor: 3.376

5.  Absolute binding free energy calculations of CBClip host-guest systems in the SAMPL5 blind challenge.

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Journal:  J Comput Aided Mol Des       Date:  2016-09-27       Impact factor: 3.686

6.  Bayesian Model Averaging for Ensemble-Based Estimates of Solvation-Free Energies.

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Journal:  J Phys Chem B       Date:  2017-01-04       Impact factor: 2.991

7.  How Water's Properties Are Encoded in Its Molecular Structure and Energies.

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Journal:  Chem Rev       Date:  2017-09-26       Impact factor: 60.622

  7 in total

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