Quantitative Structure - Activity Relationship: A Practical Approach

ISBN-13: 9780815362098 / Angielski / Twarda / 2018 / 102 str.

Siavoush Dastmalchi; Maryam Hamzeh-Mivehroud; Babak Sokouti

Opis

Quantitative structure–activity relationship (QSAR) is a computational approach for mathematically connecting structural features of compounds to their biological activities. This unique volume provides the essence of QSAR analysis in a practical manner. It illustrates the basic principles essential for assisting readers in performing analyses.

Spis treści

1. QSAR at a Glance 2. Database and Dataset 3. Molecular Descriptors 4. Descriptor Selection 5. Model Building 6. Validation of QSAR Models 7. Practical Example 8. Concluding Remarks

O autorze

Professor Siavoush Dastmalchi - graduated as Doctor of Pharmacy from Tabriz University of Medical Sciences (TUMS). Then he moved to Sydney where he received his PhD from the Faculty of Pharmacy at the University of Sydney in 2002. Since then he has worked as a full academic in the Medicinal Chemistry Department at the School of Pharmacy, TUMS, teaching medicinal chemistry, instrumental drug analysis and bioinformatics to graduate and postgraduate students. He is currently the Director of the Biotechnology Research Centre and Head of Medicinal Chemistry Department at TUMS where he leads his research team mainly with interests in molecular modeling, structural biology, and chemo-bioinformatics for their application to drug discovery. Dr. Maryam Hamzeh-Mivehroud - Maryam Hamzeh-Mivehroud is the Associate Professor of Medicinal Chemistry who graduated as Doctor of Pharmacy from Tabriz University of Medical Sciences in 2004 and received her PhD from the same university in 2011. Since then she has worked as a full academic member in the Medicinal Chemistry Department at the School of Pharmacy, and teaches medicinal chemistry at the undergraduate and postgraduate levels. Her main research interests are focused on QSAR and molecular modeling in the field of drug design and discovery. Dr. Babak Sokouti - Babak Sokouti is Assistant Professor of Bioinformatics in Biotechnology Research Center at Tabriz University of Medical Sciences with over 19 years IT technical management and consulting experience, including managing and maintaining sophisticated network infrastructures. He has obtained Bachelor of Science in Electrical Engineering with a specialization in Control from Isfahan University of Technology, Isfahan, Iran; a Master of Science in Electrical Engineering with a specialization in Electronics (with background of biomedical engineering) from Tabriz Branch, Islamic Azad University, Tabriz, Iran; a Master of Science in Information Security with Distinction from Royal Holloway University of London, London, UK; and obtained PhD in Bioinformatics from Biotechnology Research Center, Tabriz University of Medical Sciences, Tabriz, Iran. His research interests include cryptographic algorithms, information security, network security and protocols, image processing, protein structure prediction, and hybrid intelligent neural network systems based on genetic algorithms.