COMPUTER AIDED DRUG DEVELOPMENT (M.PHARM) SEM II
Book Details
-
Publisher: PV Books
-
Language: English
-
Course: M.Pharmacy / Semester II
About the Book
This book is prepared as per the M.Pharm Semester II syllabus and provides a comprehensive understanding of Computer Aided Drug Development. It covers fundamental and advanced concepts such as molecular modeling, drug–receptor interactions, structure-based and ligand-based drug design, QSAR studies, virtual screening, and molecular docking. The content highlights the application of computational tools in modern drug discovery, lead optimization, and development. Presented in a clear, systematic, and postgraduate-oriented manner, the book is highly useful for regular study, revision, research orientation, and semester examination preparation for M.Pharmacy students.
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COMPUTER AIDED DRUG DEVELOPMENT (M.PHARM) SEM II
COMPUTER AIDED DRUG DEVELOPMENT (M.PHARM) SEM II
Book Details
-
Publisher: PV Books
-
Language: English
-
Course: M.Pharmacy / Semester II
About the Book
This book is prepared as per the M.Pharm Semester II syllabus and provides a comprehensive understanding of Computer Aided Drug Development. It covers fundamental and advanced concepts such as molecular modeling, drug–receptor interactions, structure-based and ligand-based drug design, QSAR studies, virtual screening, and molecular docking. The content highlights the application of computational tools in modern drug discovery, lead optimization, and development. Presented in a clear, systematic, and postgraduate-oriented manner, the book is highly useful for regular study, revision, research orientation, and semester examination preparation for M.Pharmacy students.
Product Information
Product Information
Shipping & Returns
Shipping & Returns
Description
Book Details
-
Publisher: PV Books
-
Language: English
-
Course: M.Pharmacy / Semester II
About the Book
This book is prepared as per the M.Pharm Semester II syllabus and provides a comprehensive understanding of Computer Aided Drug Development. It covers fundamental and advanced concepts such as molecular modeling, drug–receptor interactions, structure-based and ligand-based drug design, QSAR studies, virtual screening, and molecular docking. The content highlights the application of computational tools in modern drug discovery, lead optimization, and development. Presented in a clear, systematic, and postgraduate-oriented manner, the book is highly useful for regular study, revision, research orientation, and semester examination preparation for M.Pharmacy students.
