Structural Bioinformatics: Applications in...

Dekorationsartikel gehören nicht zum Leistungsumfang.

Sprache: Englisch

152,95 €*

-16 % UVP 181,89 €

inkl. MwSt.

Versandkostenfrei per Post / DHL

Lieferzeit 1-2 Wochen

Kategorien:

Der Artikel ist nicht in deutscher Sprache verfasst.
Die Sprache der Produktbeschreibung und Details kann in Englisch angegeben sein. Sollten Sie Verständnisprobleme haben, wenden Sie sich gerne an uns.

Beschreibung

This book reviews the advances and challenges of structure-based drug design in the preclinical drug discovery process, addressing various diseases, including malaria, tuberculosis and cancer. Written by internationally recognized researchers, this edited book discusses how the application of the various in-silico techniques, such as molecular docking, virtual screening, pharmacophore modeling, molecular dynamics simulations, and residue interaction networks offers insights into pharmacologically active novel molecular entities. It presents a clear concept of the molecular mechanism of different drug targets and explores methods to help understand drug resistance. In addition, it includes chapters dedicated to natural-product- derived medicines, combinatorial drug discovery, the CryoEM technique for structure-based drug design and big data in drug discovery.

The book offers an invaluable resource for graduate and postgraduate students, as well as forresearchers in academic and industrial laboratories working in the areas of chemoinformatics, medicinal and pharmaceutical chemistry and pharmacoinformatics.

Über den Autor

Dr. C. Gopi Mohan is an Associate Professor at the Center for Nanosciences and Molecular Medicine, specializing in the areas of structural bioinformatics, structure-based drug design, protein crystallography, and nanoinformatics. He graduated from Banaras Hindu University with a PhD in Physics and gained experience as a postdoctoral researcher at the Indian Institute of Science, Bangalore (India), as a research officer at the University of Bath (UK) and as an associate researcher at the University Henri Poincare, Nancy (France). Further, he worked as a member of the faculty at the National Institute of Pharmaceutical Education & Research (NIPER), Mohali, Punjab. Dr. Gopi Mohan has published more than 70 research papers in refereed journals and was cited as an internationally recognized expert in the field of Structural Bioinformatics and Chemoinformatics by Synergix Ltd. (UK) founded by Dr. N.C. Cohen, a pioneer of rational drug design. Recently he was awarded the ICMR Senior Biomedical Scientist International Fellowship to visit US laboratories for research collaborations.

Zusammenfassung

Examines successes, risks, and challenges of in-silico drug discovery

Offers integrated case studies, including a discussion of drug resistance with respect to structure-based drug design

Reviews the application of big data in drug discovery

Inhaltsverzeichnis

Free Energy based methods to understand drug resistant mutations.- Structure-based inhibitor design for some multi-targeted drugs and its ADMET profile.- Structure-based drug design in anti-malarial agent identification.- Epigenome - the guide to genomic expression for different diseases.- Structure-based design towards Anti-Alzheimer agents.- Challenges of Structure-based drug design and discovery.

Erscheinungsjahr:	2019
Fachbereich:	Populäre Darstellungen
Genre:	Chemie , Mathematik , Medizin , Naturwissenschaften , Technik
Rubrik:	Naturwissenschaften & Technik
Medium:	Buch
Inhalt:	xii 406 S. 27 s/w Illustr. 79 farbige Illustr. 406 p. 106 illus. 79 illus. in color.
ISBN-13:	9783030052812
ISBN-10:	3030052818
Sprache:	Englisch
Herstellernummer:	978-3-030-05281-2
Einband:	Gebunden
Redaktion:	Mohan, C. Gopi
Herausgeber:	C Gopi Mohan
Auflage:	1st edition 2019
Hersteller:	Springer International Publishing
Verantwortliche Person für die EU:	Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße:	241 x 160 x 29 mm
Von/Mit:	C. Gopi Mohan
Erscheinungsdatum:	23.01.2019
Gewicht:	0,793 kg

Ähnliche Produkte