Benchmarking p <i>K</i> <sub>a</sub> Prediction Algorithms against an Extensive, Public Data Set

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Journal
Journal of Chemical Information and Modeling
Published
2026-04-06
DOI
https://doi.org/10.1021/acs.jcim.6c00107
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00

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article

Benchmarking p K a Prediction Algorithms against an Extensive, Public Data Set

György M. Keserű, György Tibor Balogh, Dávid Bajusz, Levente Sipos-Szabó
Journal of Chemical Information and Modeling
Computational Drug Discovery Methods
article

Benchmarking p K a Prediction Algorithms against an Extensive, Public Data Set

György M. Keserű, György Tibor Balogh, Dávid Bajusz, Levente Sipos-Szabó
article en

Abstract

No abstract available for this paper.
Journal of Chemical Information and ModelingVol. 66(8)
Semmelweis University (HU), Budapest University of Technology and Economics (HU), HUN-REN Research Centre for Natural Sciences (HU)
Magyar Tudományos Akadémia, Nemzeti Kutatási, Fejlesztési és Innovaciós Alap
Openalex Percentile: Top 24%
Computational Drug Discovery Methods
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