Exploration of good and bad structural fingerprints for inhibition of indoleamine-2,3-dioxygenase enzyme in cancer immunotherapy using Monte Carlo optimization and Bayesian classification QSAR modeling-Reference-Cited by-同舟云学术

Exploration of good and bad structural fingerprints for inhibition of indoleamine-2,3-dioxygenase enzyme in cancer immunotherapy using Monte Carlo optimization and Bayesian classification QSAR modeling

Published:2019-05-30 Issue: Volume: Page:1-14
ISSN:0739-1102
Container-title:Journal of Biomolecular Structure and Dynamics
language:en
Short-container-title:Journal of Biomolecular Structure and Dynamics

Author:

Jain Sanskar¹,Bhardwaj Bhagwati¹,Amin Sk. Abdul²^ORCID,Adhikari Nilanjan²^ORCID,Jha Tarun²^ORCID,Gayen Shovanlal¹^ORCID

Affiliation:

1. Laboratory of Drug Design and Discovery, Department of Pharmaceutical Sciences, Dr. HarisinghGour University, Sagar, Madhya Pradesh, India;

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

Publisher

Informa UK Limited

Subject

Molecular Biology,General Medicine,Structural Biology

Link

https://www.tandfonline.com/doi/pdf/10.1080/07391102.2019.1615000

Reference68 articles.

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

2. Structural exploration of hydroxyethylamines as HIV-1 protease inhibitors: new features identified

3. Diverse classes of HDAC8 inhibitors: in search of molecular fingerprints that regulate activity

4. Synthesis of 4- and 5-arylthiazolinethiones as inhibitors of indoleamine 2,3-dioxygenase

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