Identification of structural fingerprints for ABCG2 inhibition by using Monte Carlo optimization, Bayesian classification, and structural and physicochemical interpretation (SPCI) analysis-Reference-Cited by-同舟云学术

Identification of structural fingerprints for ABCG2 inhibition by using Monte Carlo optimization, Bayesian classification, and structural and physicochemical interpretation (SPCI) analysis

Published:2020-06-02 Issue:6 Volume:31 Page:439-455
ISSN:1062-936X
Container-title:SAR and QSAR in Environmental Research
language:en
Short-container-title:SAR and QSAR in Environmental Research

Author:

Ghosh K.¹,Bhardwaj B.¹,Amin S.A.²^ORCID,Jha T.²^ORCID,Gayen S.¹^ORCID

Affiliation:

1. Laboratory of Drug Design and Discovery, Department of Pharmaceutical Sciences, Dr. H. S. Gour University, Sagar, India

2. Natural Science Laboratory, Division of Medicinal and Pharmaceutical Chemistry, Department of Pharmaceutical Technology, Jadavpur University, Kolkata, India

Funder

Council of Scientific and Industrial Research (CSIR), New Delhi

Publisher

Informa UK Limited

Subject

Drug Discovery,Molecular Medicine,General Medicine,Bioengineering

Link

https://www.tandfonline.com/doi/pdf/10.1080/1062936X.2020.1771769

Reference48 articles.

1. Optimization of the chromone scaffold through QSAR and docking studies: Identification of potent inhibitors of ABCG2

2. ABCG2: A perspective

3. Determinants of the activity and substrate recognition of breast cancer resistance protein (ABCG2)

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