Literature DB >> 19702243

Predicting pKa.

Adam C Lee1, Gordon M Crippen.   

Abstract

One of the most important physicochemical properties of small molecules and macromolecules are the dissociation constants for any weakly acidic or basic groups, generally expressed as the pK(a) of each group. This is a major factor in the pharmacokinetics of drugs and in the interactions of proteins with other molecules. For both the protein and small molecule cases, we survey the sources of experimental pK(a) values and then focus on current methods for predicting them. Of particular concern is an analysis of the scope, statistical validity, and predictive power of methods as well as their accuracy.

Mesh:

Substances:

Year:  2009        PMID: 19702243     DOI: 10.1021/ci900209w

Source DB:  PubMed          Journal:  J Chem Inf Model        ISSN: 1549-9596            Impact factor:   4.956


  29 in total

1.  Multi-task learning for pKa prediction.

Authors:  Grigorios Skolidis; Katja Hansen; Guido Sanguinetti; Matthias Rupp
Journal:  J Comput Aided Mol Des       Date:  2012-06-20       Impact factor: 3.686

2.  Continuum electrostatic calculations of the pKa of ionizable residues in an ion channel: dynamic vs. static input structure.

Authors:  M Aguilella-Arzo; V M Aguilella
Journal:  Eur Phys J E Soft Matter       Date:  2010-04-25       Impact factor: 1.890

3.  Comparison of the accuracy of experimental and predicted pKa values of basic and acidic compounds.

Authors:  Luca Settimo; Krista Bellman; Ronald M A Knegtel
Journal:  Pharm Res       Date:  2013-11-19       Impact factor: 4.200

4.  Prediction of the Fate of Organic Compounds in the Environment From Their Molecular Properties: A Review.

Authors:  Laure Mamy; Dominique Patureau; Enrique Barriuso; Carole Bedos; Fabienne Bessac; Xavier Louchart; Fabrice Martin-Laurent; Cecile Miege; Pierre Benoit
Journal:  Crit Rev Environ Sci Technol       Date:  2015-06-18       Impact factor: 12.561

5.  Prediction of the pharmacokinetics and tissue distribution of levofloxacin in humans based on an extrapolated PBPK model.

Authors:  Liqin Zhu; Yuan Zhang; Jianwei Yang; Yongming Wang; Jianlei Zhang; Yuanyuan Zhao; Weilin Dong
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2015-03-10       Impact factor: 2.441

6.  Calculation of pK(a) in proteins with the microenvironment modulated-screened coulomb potential.

Authors:  Jufang Shan; Ernest L Mehler
Journal:  Proteins       Date:  2011-07-11

Review 7.  The significance of acid/base properties in drug discovery.

Authors:  David T Manallack; Richard J Prankerd; Elizabeth Yuriev; Tudor I Oprea; David K Chalmers
Journal:  Chem Soc Rev       Date:  2013-01-21       Impact factor: 54.564

8.  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

9.  Identifying residues that cause pH-dependent reduction potentials.

Authors:  B Scott Perrin; Toshiko Ichiye
Journal:  Biochemistry       Date:  2013-04-24       Impact factor: 3.162

10.  Let's not forget tautomers.

Authors:  Yvonne Connolly Martin
Journal:  J Comput Aided Mol Des       Date:  2009-10       Impact factor: 3.686

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.