Effect of Data Quality and Data Quantity on the Estimation of Intrinsic Solubility: Analysis Based on a Single-Source Data Set-Reference-Cited by-同舟云学术

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Effect of Data Quality and Data Quantity on the Estimation of Intrinsic Solubility: Analysis Based on a Single-Source Data Set

Published:2024-09-13 Issue: Volume: Page:
ISSN:1543-8384
Container-title:Molecular Pharmaceutics
language:en
Short-container-title:Mol. Pharmaceutics

Author:

Zhao Jiaxi¹^ORCID,Hermans Eline²,Sepassi Kia³,Tistaert Christophe²,Bergström Christel A. S.¹^ORCID,Ahmad Mazen⁴,Larsson Per¹^ORCID

Affiliation:

1. Department of Pharmacy, Uppsala University, 751 23 Uppsala, Sweden

2. Pharmaceutical & Material Sciences, Janssen Pharmaceutica NV, B-2340 Beerse, Belgium

3. Discovery Pharmaceutics, Janssen Research & Development, LLC, La Jolla, California 92121, United States

4. In Silico Discovery, Janssen Pharmaceutica NV, B-2340 Beerse, Belgium

Funder

Agentschap Innoveren en Ondernemen

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.molpharmaceut.4c00685

Reference38 articles.

1. Influence of physicochemical properties on dissolution of drugs in the gastrointestinal tract1PII of original article: S0169-409X(96)00487-5. The article was originally published in Advanced Drug Delivery Reviews 25 (1997) 3–14.1

2. Solubility Challenge: Can You Predict Solubilities of 32 Molecules Using a Database of 100 Reliable Measurements?

3. Insoluble drug delivery strategies: review of recent advances and business prospects

4. Computational prediction of drug solubility in water-based systems: Qualitative and quantitative approaches used in the current drug discovery and development setting

5. Purely Predicting the Pharmaceutical Solubility: What to Expect from PC-SAFT and COSMO-RS?

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