2D-QSAR Study of a Series of Pyrazoline-Based Anti-Tubercular Agents Using Genetic Function Approximation

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ISSN Print: 2332-5968
ISSN Online: 2332-5984
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"2D-QSAR Study of a Series of Pyrazoline-Based Anti-Tubercular Agents Using Genetic Function Approximation"
written by Hemal M. Soni, Popatbhai K. Patel, Mahesh T. Chhabria, Dharmraj N. Rana, Bhushan M. Mahajan, Pathik S. Brahmkshatriya,
published by Computational Chemistry, Vol.3 No.4, 2015

has been cited by the following article(s):

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[3]	QSAR-моделирование ингибиторов роста
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[4]	Adsorption Mechanism of Heavy Metals in Heavy Metal/Pesticide Coexisting Sediment Systems through Factional Factorial Design Assisted by 2D-QSAR Models
	Polish Journal of Environmental Studies, 2018

[1]	2D-QSAR STUDY ON SOME NOVEL DIHYDROPYRIMIDINE-4-CARBONITRILE ANALOGS AS AN ANTIFUNGAL ACTIVITY International Journal of Pharmacy and Pharmaceutical Sciences, 2023 DOI:10.22159/ijpps.2023v15i3.47008

[2]	QSAR, homology modeling, and docking simulation on SARS-CoV-2 and pseudomonas aeruginosa inhibitors, ADMET, and molecular dynamic simulations to find a possible oral lead candidate Journal of Genetic Engineering and Biotechnology, 2022 DOI:10.1186/s43141-022-00362-z

[3]	In silico evaluation and docking studies of pyrazole analogs as potential autophagy modulators against pancreatic cancer cell line MIA PaCa-2 European Journal of Chemistry, 2020 DOI:10.5155/eurjchem.11.3.187-193.1976

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