Predictions of Colloidal Molecular Aggregation Using AI/ML Models-Reference-Cited by-同舟云学术

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Predictions of Colloidal Molecular Aggregation Using AI/ML Models

Published:2024-06-18 Issue:26 Volume:9 Page:28691-28706
ISSN:2470-1343
Container-title:ACS Omega
language:en
Short-container-title:ACS Omega

Author:

Kombo David C.¹^ORCID,Stepp J. David¹,Lim Sungtaek¹,Elshorst Bettina²,Li Yi¹,Cato Laura³,Shomali Maysoun³,Fink David¹,LaMarche Matthew J.¹^ORCID

Affiliation:

1. Integrated Drug Discovery, Sanofi, 350 Water St., Cambridge, Massachusetts 02141, United States

2. CMC Synthetics Early Development Analytics, Sanofi, Industriepark Hochst, Frankfurt 65926, Germany

3. Molecular Oncology, Sanofi, 350 Water St., Cambridge, Massachusetts 02141, United States

Funder

Sanofi

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acsomega.4c02886

Reference55 articles.

1. Internal Structure and Preferential Protein Binding of Colloidal Aggregates

2. Stable Colloidal Drug Aggregates Catch and Release Active Enzymes

3. Colloidal Aggregation Affects the Efficacy of Anticancer Drugs in Cell Culture

4. A review on drug repurposing applicable to COVID-19

5. Drug Repurposing for Prevention and Treatment of COVID-19: A Clinical Landscape

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