Literature DB >> 26580366

Solv-ccCA: Implicit Solvation and the Correlation Consistent Composite Approach for the Determination of pKa.

Amanda G Riojas1, Angela K Wilson1.   

Abstract

Direct theoretical methods are advantageous for the prediction of pKa, as relative methods rely upon the experimental values of reference acid molecules that can limit application of the method to well-characterized systems. Here, a direct route is introduced, which incorporates the SMD universal solvation model1 within the correlation consistent Composite Approach (ccCA). This Solv-ccCA methodology has been used for the prediction of theoretical pKa values for nitrogen-containing species to within a mean absolute deviation (MAD) of 1.0 pKa unit from experimental values by utilizing a thermodynamic cycle that combines gas-phase and solution-phase calculations. Several density functionals, including B3LYP, B97-1, B97-2, B98, BMK, M06, and M06-2X, were also evaluated for use with SMD and for comparison to Solv-ccCA.

Entities:  

Year:  2014        PMID: 26580366     DOI: 10.1021/ct400908z

Source DB:  PubMed          Journal:  J Chem Theory Comput        ISSN: 1549-9618            Impact factor:   6.006


  6 in total

1.  SAMPL6 logP challenge: machine learning and quantum mechanical approaches.

Authors:  Prajay Patel; David M Kuntz; Michael R Jones; Bernard R Brooks; Angela K Wilson
Journal:  J Comput Aided Mol Des       Date:  2020-01-30       Impact factor: 3.686

2.  Partition coefficients for the SAMPL5 challenge using transfer free energies.

Authors:  Michael R Jones; Bernard R Brooks; Angela K Wilson
Journal:  J Comput Aided Mol Des       Date:  2016-09-19       Impact factor: 3.686

3.  Absolute and relative pKa predictions via a DFT approach applied to the SAMPL6 blind challenge.

Authors:  Qiao Zeng; Michael R Jones; Bernard R Brooks
Journal:  J Comput Aided Mol Des       Date:  2018-08-20       Impact factor: 3.686

4.  An explicit-solvent hybrid QM and MM approach for predicting pKa of small molecules in SAMPL6 challenge.

Authors:  Samarjeet Prasad; Jing Huang; Qiao Zeng; Bernard R Brooks
Journal:  J Comput Aided Mol Des       Date:  2018-10-01       Impact factor: 3.686

5.  Prediction of CB[8] host-guest binding free energies in SAMPL6 using the double-decoupling method.

Authors:  Kyungreem Han; Phillip S Hudson; Michael R Jones; Naohiro Nishikawa; Florentina Tofoleanu; Bernard R Brooks
Journal:  J Comput Aided Mol Des       Date:  2018-08-06       Impact factor: 3.686

6.  Quantum chemical predictions of water-octanol partition coefficients applied to the SAMPL6 logP blind challenge.

Authors:  Michael R Jones; Bernard R Brooks
Journal:  J Comput Aided Mol Des       Date:  2020-01-30       Impact factor: 3.686

  6 in total

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