Overview
- Contributors from Brazil, Scotland, Mexico, USA, India, China, Argentina, Uruguay and Pakistan
- Addresses both established and new issues in target identification, phenotype, and precision medicine
- Presents network pharmacology and gene signature-based drug discovery
Part of the book series: Computer-Aided Drug Discovery and Design (CADDD, volume 1)
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Table of contents (9 chapters)
Keywords
About this book
Many often-overlooked approximations and concepts in drug discovery are fully covered. Drug Target Selection and Validation includes both introductory sections and research-based sections to be of use to both students and research scientists in drug discovery, design, kinetics and metabolic analysis. Pharmaceutical scientists, pharmaceutics, drug developers, pharmacologists, biomedical researchers in computer science, medicinal chemists, and precision medicine developers benefit from the information provided. The book concludes with a chapter on chemical and structural databases.
Editors and Affiliations
About the editors
Prof. Marcus Tullius Scotti studied chemical engineering at Universidade de São Paulo (USP - São Paulo University) and finished his degree in 1999. After, he worked for four years in a Brazilian electronics and telecommunications services company called Gradiente. At the same time, he started to study specialization on Industrial Administration at the University of São Paulo. After that, he started post-graduation in organic chemistry at the University of São Paulo in 2003 and finished his Master in 2005 and Ph.D. in 2008. In January of 2009, he moved to João Pessoa and started to work as Professor of Organic Chemistry at Universidade Federal da Paraíba (Federal University of Paraíba), Brazil. At beginning of 2014 finished Post-doc in cheminformatics at Universidade Nova de Lisboa, Portugal,
Prof. Marcus research interests are in the area of chemistry of the natural products, acting on the following subjects: QSAR, Virtual Screening, molecular descriptors, and chemotaxonomy using cheminformatics methods using several statistical tools and machine learning algorithms. He has published over 230 papers.
Prof. Carolina Bellera obtained her Pharmacy degree in 2007 and completed her PhD studies in 2014, both at the National University of La Plata (Argentina). She obtained the award for the best PhD thesis on Bioorganic Chemistry from the Argentinean Chemical Society (2015) and the Award to Innovation from the National University of La Plata (2015). In 2019 she obtained a Tony B Award recognition for outstanding achievement in life sciences and technology in Spain.
She holds a permanent position at the Argentinean National Council of Scientific and Technical Research since 2016 (currently as Associate Researcher) and she is the professor in charge of the Medicinal Chemistry course at the Faculty of Exact Sciences, National University of La Plata, since 2018. She has published over 25 papers and 16 book chapters, mostly in the fields of rational drug discovery, in silico drug design, QSAR, virtual screening, tropical neglected diseases and biopharmacy. Recipient of several travel grants.
Prof. Bellera research interests are in the area of tropical neglected diseases, acting on the following subjects: Virtual Screening, cheminformatics, machine learning algorithms, QSAR and molecular descriptors.
Bibliographic Information
Book Title: Drug Target Selection and Validation
Editors: Marcus T. Scotti, Carolina L. Bellera
Series Title: Computer-Aided Drug Discovery and Design
DOI: https://doi.org/10.1007/978-3-030-95895-4
Publisher: Springer Cham
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
Hardcover ISBN: 978-3-030-95894-7Published: 18 May 2022
Softcover ISBN: 978-3-030-95897-8Published: 19 May 2023
eBook ISBN: 978-3-030-95895-4Published: 17 May 2022
Series ISSN: 2730-5457
Series E-ISSN: 2730-5465
Edition Number: 1
Number of Pages: XV, 257
Number of Illustrations: 4 b/w illustrations, 33 illustrations in colour
Topics: Pharmacology/Toxicology, Pharmaceutical Sciences/Technology, Theoretical and Computational Chemistry, Medicinal Chemistry, Biochemistry, general