Open Access Library Journal

Open Access Library Journal

ISSN Print: 2333-9705
ISSN Online: 2333-9721
www.scirp.org/journal/oalibj
E-mail: service@oalib.com
"Quantitative Structure Activity Relationship Analysis of Selected Chalcone Derivatives as Mycobacterium tuberculosis Inhibitors"
written by Alisi Ikechukwu Ogadimma, Uzairu Adamu,
published by Open Access Library Journal, Vol.3 No.3, 2016
has been cited by the following article(s):
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[10] In silico studies of piperazine derivatives as potent anti-proliferative agents against PC-3 prostate cancer cell lines
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[11] Computational modeling and ligand-based design of some novel hypothetical compound as prominent inhibitors against Mycobacterium tuberculosis
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[12] Quantitative Structure–Activity Relationship Model, Molecular Docking Simulation and Computational Design of Some Novel Compounds Against DNA Gyrase Receptor
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[13] Development of Predictive Antioxidant Models for 1, 3, 4-Oxadiazoles by Quantitative Structure Activity Relationship
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[14] A Derived QSAR Model for Predicting Some Compounds as Potent Antagonist against Mycobacterium tuberculosis: A Theoretical Approach
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[15] Anti-hepatitis-C virus activity and QSAR study of certain thiazolidinone and thiazolotriazine derivatives as potential NS5B polymerase inhibitors
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[16] Geometrical and Topological Descriptors for Activities Modeling of Some Potent Inhibitors against Mycobacterium tuberculosis: A Genetic Functional Approach
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[17] Design and Validation of Predictive Antioxidant Models for Chalcones
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[18] Evaluation of the antioxidant properties of curcumin derivatives by genetic function algorithm
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[19] A Novel QSAR Model for the Evaluation and Prediction of (E)-N'-Benzylideneisonicotinohydrazide Derivatives as the Potent Anti-mycobacterium Tuberculosis …
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[20] QSAR Modeling and Molecular Docking Analysis of Some Active Compounds against Mycobacterium tuberculosis Receptor (Mtb CYP121)
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[21] Theoretical modeling for predicting the activities of some active compounds as potent inhibitors against Mycobacterium tuberculosis using GFA-MLR …
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[22] A novel QSAR model for the evaluation and prediction of (E)-N'-benzylideneisonicotinohydrazide derivatives as the potent anti-mycobacterium tuberculosis antibodies …
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[23] Exploring Coumarin and Chalcone Analogues as Potential Antimycobacterial Agents
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[24] 1, 3, 4-okzadiazol bulunduran sülfon türevlerindeki antibakteriyal aktivitelerinin MCET metotla 4D-QSAR incelenmesinde Klopman indeksinin kullanılması
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