Construction of a Virtual Opioid Bioprofile: A Data-Driven QSAR Modeling Study to Identify New Analgesic Opioids-Reference-Cited by-同舟云学术

Construction of a Virtual Opioid Bioprofile: A Data-Driven QSAR Modeling Study to Identify New Analgesic Opioids

Published:2021-03-04 Issue:10 Volume:9 Page:3909-3919
ISSN:2168-0485
Container-title:ACS Sustainable Chemistry & Engineering
language:en
Short-container-title:ACS Sustainable Chem. Eng.

Author:

Jia Xuelian¹^ORCID,Ciallella Heather L.¹,Russo Daniel P.¹,Zhao Linlin¹^ORCID,James Morgan H.²³,Zhu Hao¹⁴^ORCID

Affiliation:

1. The Rutgers Center for Computational and Integrative Biology, Joint Health Sciences Center, Room 210, 201 S Broadway, Camden, New Jersey 08103, United States

2. Department of Psychiatry, Robert Wood Johnson Medical School, Rutgers University and Rutgers Biomedical Health Sciences, Office of the Chairman, 671 Hoes Lane, Piscataway, New Jersey 08854, United States

3. Brain Health Institute, Rutgers University and Rutgers Biomedical and Health Sciences, 683 Hoes Lane West, Office 259A, Piscataway, New Jersey 08854, United States

4. Department of Chemistry, Rutgers University, Science Building, Room 108, 315 Penn St., Camden, New Jersey 08102, United States

Funder

National Institute of Environmental Health Sciences

National Institute on Drug Abuse

Publisher

American Chemical Society (ACS)

Subject

Renewable Energy, Sustainability and the Environment,General Chemical Engineering,Environmental Chemistry,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acssuschemeng.0c09139

Reference79 articles.

1. Interventions for the reduction of prescribed opioid use in chronic non-cancer pain