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Abstract

Epik is a computer program for predicting pK^sub a^ values for drug-like molecules. Epik can use this capability in combination with technology for tautomerization to adjust the protonation state of small drug-like molecules to automatically generate one or more of the most probable forms for use in further molecular modeling studies. Many medicinal chemicals can exchange protons with their environment, resulting in various ionization and tautomeric states, collectively known as protonation states. The protonation state of a drug can affect its solubility and membrane permeability. In modeling, the protonation state of a ligand will also affect which conformations are predicted for the molecule, as well as predictions for binding modes and ligand affinities based upon protein-ligand interactions. Despite the importance of the protonation state, many databases of candidate molecules used in drug development do not store reliable information on the most probable protonation states. Epik is sufficiently rapid and accurate to process large databases of drug-like molecules to provide this information. Several new technologies are employed. Extensions to the well-established Hammett and Taft approaches are used for pK^sub a^ prediction, namely, mesomer standardization, charge cancellation, and charge spreading to make the predicted results reflect the nature of the molecule itself rather just for the particular Lewis structure used on input. In addition, a new iterative technology for generating, ranking and culling the generated protonation states is employed.[PUBLICATION ABSTRACT]

Details

Title
Epik: a software program for pK a prediction and protonation state generation for drug-like molecules
Author
Shelley, John C; Cholleti, Anuradha; Frye, Leah L; Greenwood, Jeremy R; Timlin, Mathew R; Uchimaya, Makoto
Pages
681-91
Publication year
2007
Publication date
Dec 2007
Publisher
Springer Nature B.V.
ISSN
0920654X
e-ISSN
15734951
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
737270775
Copyright
Springer Science+Business Media B.V. 2007