Phytochemistry, Computational Tools, and Databases in Drug Discovery - Brossura

Brossura

ISBN 10: 0323905935 ISBN 13: 9780323905930

Casa editrice: Elsevier, 2022

Riassunto

Phytochemistry, Computational Tools and Databases in Drug Discovery presents the state-of-the-art in computational methods and techniques for drug discovery studies from medicinal plants. Various tools and databases for virtual screening and characterization of plant bioactive compounds and their subsequent predictions on biological targets for the discovery of new drugs against specific diseases are presented, along with computational tools for the prediction of the toxic effects of phytochemicals on living systems. The book also provides in-depth insight on the applications of these computational tools as well as the databases that describe the interactions of phytochemicals with diseases along with predictions for druggable bioactive compounds.

Useful for drug developers, medicinal chemists, toxicologists, phytochemists, plant biochemists and analytical chemists, this book clearly presents the various computational techniques, tools and databases for phytochemical research.

Su questo libro

Informazioni sugli autori

Chukwuebuka Egbuna (PhD) is a chartered chemist and academic researcher. He is a member of the Institute of Chartered Chemists of Nigeria (ICCON), the Nigerian Society of Biochemistry and Molecular Biology (NSBMB), and the Royal Society of Chemistry (RSC) (United Kingdom). Dr. Egbuna is the founder and editor of the Elsevier book series on Drug Discovery Update. The series includes books, monographs, and edited collections from all areas of drug discovery including emerging therapeutic claims for the treatment of diseases. He has published research articles in many international journals of repute and is ranked among the top 500 Nigerian scientists in SciVal/SCOPUS. He has edited more than 25 books with Elsevier, Springer, Wiley, and Taylor & Francis. His most recent book is the three volume Coronavirus Drug Discovery, published by Elsevier. Dr. Egbuna is the founder and the publishing director of IPS Intelligentsia Publishing Services.

Mithun Rudrapal, PhD, FIC, FICS, CChem (India), is Associate Professor at the Department of Pharmaceutical Sciences, School of Biotechnology & Pharmaceutical Sciences, Vignan's Foundation for Science, Technology & Research (Deemed to be University), Guntur, India. Dr. Rudrapal has been actively engaged in teaching and research in the field of Pharmaceutical and Allied Sciences for more than 16 years. He has over two hundred publications in peer-reviewed international journals to his credit and has filed a number of Indian and International patents. In addition, Dr. Rudrapal has authored over a dozen published books. Dr. Rudrapal works in the areas of Medicinal Chemistry, Drug designing, Drug Repurposing, Phytopharmacology and Dietary Polyphenols.

Habibu Tijjani works in the Department of Biochemistry, Natural Product Research Laboratory at Bauchi State University Gadau in Nigeria.

Dalla quarta di copertina

Phytochemistry, Computational Tools and Databases in Drug Discovery presents the state-of-the-art in computational methods and techniques for drug discovery studies from medicinal plants. Various tools and databases for virtual screening and characterization of plant bioactive compounds and their subsequent predictions on biological targets for the discovery of new drugs against specific diseases are presented, along with computational tools for the prediction of the toxic effects of phytochemicals on living systems. The book also provides in-depth insight on the applications of these computational tools as well as the databases that describe the interactions of phytochemicals with diseases along with predictions for druggable bioactive compounds.

Useful for drug developers, medicinal chemists, toxicologists, phytochemists, plant biochemists and analytical chemists, this book clearly presents the various computational techniques, tools and databases for phytochemical research.

Dettagli dell'edizione

• Editore: Elsevier
• Data di pubblicazione: 2022
• Lingua: Inglese
• ISBN 10: 0323905935
• ISBN 13: 9780323905930
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 492
• Redattore: Egbuna Chukwuebuka, Rudrapal Mithun, Tijjani Habibu
• Contatto del produttore: non disponibile
• Persona responsabile: LSWR Group; b.criscuolo@lswr.it; ; Via Spadolini, 7; Milano; Italia