An Automated Robotic Interface for Assays: Facilitating Machine Learning in Drug Discovery by the Automation of Physicochemical Property Assays-Reference-Cited by-同舟云学术

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An Automated Robotic Interface for Assays: Facilitating Machine Learning in Drug Discovery by the Automation of Physicochemical Property Assays

Published:2024-05-24 Issue:23 Volume:9 Page:24948-24958
ISSN:2470-1343
Container-title:ACS Omega
language:en
Short-container-title:ACS Omega

Author:

Wu Newton P.¹^ORCID,Wang Wenyi²^ORCID,Gadiagellan Dhireshan³^ORCID,Counsell Mike³,Hamidi Nikkia K.¹,Koike Yuko¹,Nguyen Huy Q.¹^ORCID

Affiliation:

1. Analytical Research, Discovery Chemistry Department, Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, United States

2. Drug Metabolism and Pharmacokinetics, Genentech, Inc., 1 DNA Way, South San Francisco, California 94080, United States

3. UK Robotics, Inc., Manchester BL5 3EH, United Kingdom

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acsomega.4c02003

Reference38 articles.

1. Development of a high throughput equilibrium solubility assay using miniaturized shake‐flask method in early drug discovery

2. Thermodynamic equilibrium solubility measurements in simulated fluids by 96-well plate method in early drug discovery

3. Brief overview of solubility methods: Recent trends in equilibrium solubility measurement and predictive models

4. Automated assays for thermodynamic (equilibrium) solubility determination

5. A Method for Measuring the Lipophilicity of Compounds in Mixtures of 10

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