QSAR, docking, ADMET, and system pharmacology studies on tormentic acid derivatives for anticancer activity-Reference-Cited by-同舟云学术

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QSAR, docking, ADMET, and system pharmacology studies on tormentic acid derivatives for anticancer activity

Published:2017-08-02 Issue:9 Volume:36 Page:2373-2390
ISSN:0739-1102
Container-title:Journal of Biomolecular Structure and Dynamics
language:en
Short-container-title:Journal of Biomolecular Structure and Dynamics

Author:

Alam Sarfaraz¹²^ORCID,Khan Feroz¹²³^ORCID

Affiliation:

1. Metabolic & Structural Biology Department, CSIR-Central Institute of Medicinal & Aromatic Plants, Lucknow, India

2. Academy of Scientific & Innovative Research (AcSIR), CSIR-CIMAP Campus, Lucknow, India

3. Skaggs School of Pharmacy & Pharmaceutical Sciences, University of California San Diego (UCSD), San Diego, CA, USA

Funder

Department of Health Research, New Delhi (Govt. of India), INDIA

Publisher

Informa UK Limited

Subject

Molecular Biology,General Medicine,Structural Biology

Link

https://www.tandfonline.com/doi/pdf/10.1080/07391102.2017.1355846

Reference38 articles.

1. QSAR and docking studies on xanthone derivatives for anticancer activity targeting DNA topoisomerase IIα

2. QSAR Models Guided by Molecular Dynamics Applied to Human Glucokinase Activators

3. Pharmacophore model prediction, 3D-QSAR and molecular docking studies on vinyl sulfones targeting Nrf2-mediated gene transcription intended for anti-Parkinson drug design

4. In silico studies on potential MCF-7 inhibitors: a combination of pharmacophore and 3D-QSAR modeling, virtual screening, molecular docking, and pharmacokinetic analysis

5. Why is Tanimoto index an appropriate choice for fingerprint-based similarity calculations?

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