Literature DB >> 32060677

Multi-phase Boltzmann weighting: accounting for local inhomogeneity in molecular simulations of water-octanol partition coefficients in the SAMPL6 challenge.

Andreas Krämer1, Phillip S Hudson2,3, Michael R Jones2, Bernard R Brooks2.   

Abstract

Accurately computing partition coefficients is a pivotal part of drug discovery. Specifically, octanol-water partition coefficients can provide information into hydrophobicity of drug-like molecules, as well as a de facto representation of membrane permeability. However, one challenge facing the computation of partition coefficients is the need to encapsulate various microscopic environments. These include areas of largely bulk solvent (i.e., either water or octanol) or regions where octanol is saturated with water or areas of higher salt concentration. Also, tautomeric effects require consideration. Thus, we present a Boltzmann weighting approach that incorporates transfer free energies across varying microscopic media, as well as varying tautomeric state, to compute partition coefficients in the SAMPL6 challenge.

Entities:  

Keywords:  Alchemical simulation; Boltzmann weighting; Multi-phase; SAMPL6; Solvation free energy

Mesh:

Substances:

Year:  2020        PMID: 32060677      PMCID: PMC8750956          DOI: 10.1007/s10822-020-00285-2

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


  51 in total

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7.  Overview of the SAMPL6 host-guest binding affinity prediction challenge.

Authors:  Andrea Rizzi; Steven Murkli; John N McNeill; Wei Yao; Matthew Sullivan; Michael K Gilson; Michael W Chiu; Lyle Isaacs; Bruce C Gibb; David L Mobley; John D Chodera
Journal:  J Comput Aided Mol Des       Date:  2018-11-10       Impact factor: 3.686

8.  Blind prediction of cyclohexane-water distribution coefficients from the SAMPL5 challenge.

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

9.  Force matching as a stepping stone to QM/MM CB[8] host/guest binding free energies: a SAMPL6 cautionary tale.

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Journal:  J Comput Aided Mol Des       Date:  2018-10-01       Impact factor: 3.686

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  2 in total

1.  Assessing the accuracy of octanol-water partition coefficient predictions in the SAMPL6 Part II log P Challenge.

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Journal:  J Comput Aided Mol Des       Date:  2020-02-27       Impact factor: 3.686

2.  Obtaining QM/MM binding free energies in the SAMPL8 drugs of abuse challenge: indirect approaches.

Authors:  Phillip S Hudson; Félix Aviat; Rubén Meana-Pañeda; Luke Warrensford; Benjamin C Pollard; Samarjeet Prasad; Michael R Jones; H Lee Woodcock; Bernard R Brooks
Journal:  J Comput Aided Mol Des       Date:  2022-05-22       Impact factor: 4.179

  2 in total

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