Saha Achintya | Department Of Chemical Technology University Of Calcutta

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概要

• SAHA Achintyaの詳細を見る
• 同名の論文著者
• Department Of Chemical Technology University Of Calcuttaの論文著者

関連著者

• Mukherjee Arup

  Department Of Chemical Technology University Of Calcutta

• Saha Achintya

  Department Of Chemical Technology University Of Calcutta

• SAHA Achintya

  Department of Chemical Technology, University of Calcutta

• Mukherjee Subhendu

  Department Of Chemical Technology University Of Calcutta

• DAS Suvadra

  Department of Chemical Technology, University of Calcutta

• Das Suvadra

  Department Of Chemical Technology University Of Calcutta

• Islam Md

  Department Of Chemical Technology University Of Calcutta

• Mukherjee Arup

  Department of Chemical Technology, University of Calcutta

• Islam Md

  Department Of Information Science Faculty Of Engineering University Of Fukui

• Nagar Shuchi

  Department Of Chemical Technology University Of Calcutta

• Poddar Kashi

  Clinical Laboratory

• BANERJEE Rita

  Pharmacology Research Unit, Central Research Institute (Ayurveda)

• UPADHYAY Sachchida

  Pharmacology Research Unit, Central Research Institute (Ayurveda)

• HAZRA Jayram

  Pharmacology Research Unit, Central Research Institute (Ayurveda)

• Hazra Jayram

  Pharmacology Research Unit Central Research Institute (ayurveda)

• Banerjee Rita

  Pharmacology Research Unit Central Research Institute (ayurveda)

• Upadhyay Sachchida

  Pharmacology Research Unit Central Research Institute (ayurveda)

• Roy Partha

  Department of Chemical Technology, University of Calcutta

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著作論文

• Reproductive Effects of Ethnomedicinal Formulation of Tape-Vine Leaves in Female Rats(Pharmacognosy)
• QSAR Studies with E-State Index : Predicting Pharmacophore Signals for Estrogen Receptor Binding Affinity of Triphenylacrylonitriles(Medicinal Chemistry)
• Molecular Design Based on Receptor-Independent Pharmacophore : Application to Estrogen Receptor Ligands(Medicinal Chemistry)
• Poly(DL-lactide-co-glycolic acid) Nanoparticle Design and Payload Prediction: A Molecular Descriptor Based Study

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