Structural refinement and prediction of potential CCR2 antagonists through validated multi-QSAR modeling studies-Reference-Cited by-同舟云学术

Structural refinement and prediction of potential CCR2 antagonists through validated multi-QSAR modeling studies

Published:2018-01-03 Issue:1 Volume:37 Page:75-94
ISSN:0739-1102
Container-title:Journal of Biomolecular Structure and Dynamics
language:en
Short-container-title:Journal of Biomolecular Structure and Dynamics

Author:

Amin Sk Abdul¹^ORCID,Adhikari Nilanjan¹^ORCID,Baidya Sandip Kumar¹,Gayen Shovanlal²^ORCID,Jha Tarun¹^ORCID

Affiliation:

1. Natural Science Laboratory, Division of Medicinal and Pharmaceutical Chemistry, Department of Pharmaceutical Technology, Jadavpur University, P. O. Box 17020, Kolkata 700032, West Bengal, India

2. Laboratory of Drug Design and Discovery, Department of Pharmaceutical Sciences, Dr. Harisingh Gour University, Sagar 470003, Madhya Pradesh, India

Funder

University Grants Commission

Publisher

Informa UK Limited

Subject

Molecular Biology,General Medicine,Structural Biology

Link

https://www.tandfonline.com/doi/pdf/10.1080/07391102.2017.1418679

Reference57 articles.

1. Impaired neuropathic pain responses in mice lacking the chemokine receptor CCR2

2. Combating breast cancer with non-steroidal aromatase inhibitors (NSAIs): Understanding the chemico-biological interactions through comparative SAR/QSAR study

3. First molecular modeling report on novel arylpyrimidine kynurenine monooxygenase inhibitors through multi-QSAR analysis against Huntington’s disease: A proposal to chemists!

4. Exploring structural requirements of unconventional Knoevenagel-type indole derivatives as anticancer agents through comparative QSAR modeling approaches

5. Designing Potential Antitrypanosomal Thiazol-2-ethylamines through Predictive Regression Based and Classification Based QSAR Analyses

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