<i>In silico</i> design of RORγ inverse agonists based on 3D-QSAR and molecular docking-Reference-Cited by-同舟云学术

In silico design of RORγ inverse agonists based on 3D-QSAR and molecular docking

Published:2022 Issue:18 Volume:46 Page:8464-8477
ISSN:1144-0546
Container-title:New Journal of Chemistry
language:en
Short-container-title:New J. Chem.

Author:

Deng Renjin¹^ORCID,He Wenjing¹,Guo Hongwei¹²³,Su Zhiheng¹²^ORCID,Wu Weijun¹,Wu Zheng¹²

Affiliation:

1. Pharmaceutical College, Guangxi Medical University, Nanning 530021, P. R. China

2. Guangxi Key Laboratory of Bioactive Molecules Research and Evaluation, Guangxi Medical University, Nanning 530021, P. R. China

3. Key Laboratory of Longevity and Aging-related Diseases of Chinese Ministry of Education & Center for Translational Medicine, Guangxi Medical University, Nanning 530021, P. R. China

Abstract

Computationally designing novel RORγ inverse agonists with higher activity using a systematic modeling study.

Funder

Natural Science Foundation of Guangxi Province

Publisher

Royal Society of Chemistry (RSC)

Subject

Materials Chemistry,General Chemistry,Catalysis

Link

http://pubs.rsc.org/en/content/articlepdf/2022/NJ/D1NJ05185G

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