QSAR STUDY OF INHIBITORY ACTIVITIES (EC50) OF AZABENZENES DERIVATIVES USING BAYESIAN REGULARIZED ARTIFICIAL NEURAL NETWORK (BR-ANN) AND CALCULATED DESCRIPTORS

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MOZAFARI Z.; ARAB CHAMJANGALI M.; ARASHI M.

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Seminar Paper

Paper Information

Seminar: IRANIAN SEMINAR OF ANALYTICAL CHEMISTRY
Year:2016 | Issue:23

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Title

QSAR STUDY OF INHIBITORY ACTIVITIES (EC50) OF AZABENZENES DERIVATIVES USING BAYESIAN REGULARIZED ARTIFICIAL NEURAL NETWORK (BR-ANN) AND CALCULATED DESCRIPTORS

Author(s)

MOZAFARI Z. | ARAB CHAMJANGALI M. | ARASHI M. | Issue Writer Certificate

Keywords

QSAR

BAYESIAN REGULARIZED (BR)

AAZABENZENES DERIVATIVES

ARTIFICIAL NEURAL NETWORK (ANN)

Abstract

IN THIS ARTICLE, AZABENZENES DERIVATIVES AS POTENT HIV-1 NON-NUCLEOSIDE REVERSE TRANSCRIPTASE INHIBITORS ANALYSED WITH MOLECULAR DOCKING AND QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP STUDY (QSAR) [1-2]. ...

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APA: Copy

MOZAFARI, Z., ARAB CHAMJANGALI, M., & ARASHI, M.. (2016). QSAR STUDY OF INHIBITORY ACTIVITIES (EC50) OF AZABENZENES DERIVATIVES USING BAYESIAN REGULARIZED ARTIFICIAL NEURAL NETWORK (BR-ANN) AND CALCULATED DESCRIPTORS. IRANIAN SEMINAR OF ANALYTICAL CHEMISTRY. SID. https://sid.ir/paper/942161/en

Vancouver: Copy

MOZAFARI Z., ARAB CHAMJANGALI M., ARASHI M.. QSAR STUDY OF INHIBITORY ACTIVITIES (EC50) OF AZABENZENES DERIVATIVES USING BAYESIAN REGULARIZED ARTIFICIAL NEURAL NETWORK (BR-ANN) AND CALCULATED DESCRIPTORS. 2016. Available from: https://sid.ir/paper/942161/en

IEEE: Copy

Z. MOZAFARI, M. ARAB CHAMJANGALI, and M. ARASHI, “QSAR STUDY OF INHIBITORY ACTIVITIES (EC50) OF AZABENZENES DERIVATIVES USING BAYESIAN REGULARIZED ARTIFICIAL NEURAL NETWORK (BR-ANN) AND CALCULATED DESCRIPTORS,” presented at the IRANIAN SEMINAR OF ANALYTICAL CHEMISTRY. 2016, [Online]. Available: https://sid.ir/paper/942161/en

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