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Journal of Biomolecular Structure and Dynamics
Volume 38, 2020 - Issue 6
Research Articles
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
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Sk. Abdul AminNatural Science Laboratory, Department of Pharmaceutical Technology, Division of Medicinal and Pharmaceutical Chemistry, Jadavpur University, Kolkata, West Bengal, Indiahttp://orcid.org/0000-0003-4799-7322
http://orcid.org/0000-0003-4799-7322, Nilanjan AdhikariNatural Science Laboratory, Department of Pharmaceutical Technology, Division of Medicinal and Pharmaceutical Chemistry, Jadavpur University, Kolkata, West Bengal, Indiahttp://orcid.org/0000-0001-5523-7716
http://orcid.org/0000-0001-5523-7716, Tarun JhaNatural Science Laboratory, Department of Pharmaceutical Technology, Division of Medicinal and Pharmaceutical Chemistry, Jadavpur University, Kolkata, West Bengal, IndiaCorrespondence[email protected]
http://orcid.org/0000-0002-9996-738X
http://orcid.org/0000-0002-9996-738X & Shovanlal GayenLaboratory of Drug Design and Discovery, Department of Pharmaceutical Sciences, Dr. HarisinghGour University, Sagar, Madhya Pradesh, India; Correspondence[email protected]
http://orcid.org/0000-0002-3367-578X
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Related Research Data
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
Source:
Taylor & Francis
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
Source:
Taylor & Francis
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
Source:
Taylor & Francis
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