When Experiment and Computation Disagree: Lessons from pKa and logP

Neither a titration curve nor a prediction tells the whole story. With Octant and Schrödinger, we profiled 700+ molecules. Disagreement often pointed to tautomerism, reactive groups, or assay blind spots. Understanding uncertainty can matter more than collecting more data.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-10-27
DOI
https://doi.org/10.5281/zenodo.23345224
Primary Topic
Computational Drug Discovery Methods
Type
article
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article

When Experiment and Computation Disagree: Lessons from pKa and logP

Arteum D. Bochevarov, Edward D. Harder, Terry Shing‐Bong Lou
Zenodo (CERN European Organization for Nuclear Research)
Computational Drug Discovery Methods
article

When Experiment and Computation Disagree: Lessons from pKa and logP

Arteum D. Bochevarov, Edward D. Harder, Terry Shing‐Bong Lou
article en

Abstract

Neither a titration curve nor a prediction tells the whole story. With Octant and Schrödinger, we profiled 700+ molecules. Disagreement often pointed to tautomerism, reactive groups, or assay blind spots. Understanding uncertainty can matter more than collecting more data.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 17%
Computational Drug Discovery Methods
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When Experiment and Computation Disagree: Lessons from pKa and logP — Arteum D. Bochevarov, Edward D. Harder, et al. · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS