Correction: A case study on hybrid machine learning and quantum-informed modelling for solubility prediction of drug compounds in organic solvents

Aug 5, 2026

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This document reports a correction to a previously published article titled 'A case study on hybrid machine learning and quantum-informed modelling for solubility prediction of drug compounds in organic solvents' by Weiling Wang et al., published in Digital Discovery. The correction addresses an invalid Zenodo link provided in the Data availability statement. The original link was incorrect, and the revised, accurate Zenodo link is now provided for readers and authors. The Royal Society of Chemistry extends its apologies for any inconvenience caused by this error. The article focuses on advanced computational methods, specifically hybrid machine learning and quantum-informed modeling techniques, applied to predict the solubility of drug compounds in various organic solvents. This prediction is crucial for drug development and formulation processes. The correction ensures that associated data remains accessible and verifiable through the correct archival link, upholding the integrity of scientific publication and facilitating further research in this specialized area of computational chemistry and materials science.

LanguageEnglish

CategoryResearch & Report

FormatPDF

Pages1

Reading Time3 min

AccessFree to download

Correction

Data Availability Statement

FAQs

What is the purpose of this document?

This document is a correction to a previously published research article, providing updated information regarding the data availability link.

What specific error is being corrected?

The correction addresses an invalid Zenodo link that was included in the Data availability statement of the original article.

What is the correct Zenodo link?

The corrected Zenodo link is provided as https://doi.org/10.5281/zenodo.17949480.

Aug 5, 2026

Upload by Aurelia