Drug design : cutting edge approaches

• Other Authors: Flower, Darren R.
• Format: eBook
• Language: English
• Published: Cambridge, UK : Royal Society of Chemistry, ©2002.
• Series: Special publication (Royal Society of Chemistry (Great Britain)) ; no. 279.
• Subjects: Drugs > Design > Congresses.; Drugs > Design > Mathematical models > Congresses.; Artificial intelligence > Medical applications > Congresses.; Drugs > Research > Methodology > Congresses.; Mathematical models.; Pharmaceutical technology.; Pharmaceutical chemistry.; Pharmacology.; Chemistry.; Physical sciences.; Life sciences.; Drugs > Design.; Methodology.; Chemical models.; Molecular pharmacology > Computer simulation.; Pharmacology, Experimental > Computer simulation.; Computer simulation.; Digital computer simulation.; elektronické knihy; electronic books
• ISBN: 0854048162; 9780854048168; 9781847550705; 1847550703; 1601190271; 9781601190277
• Physical Description: 1 online resource (x, 192 pages) : illustrations
• Item Description: "The proceedings of the meeting on Cutting Edge Approaches to Drug Design held on 13 March 2001 at the Scientific Societies Lecture Theatre, London, UK"--Title page verso
• Access: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty

Pharmaceutical research draws on increasingly complex techniques to solve the challenges of drug design. Bringing together a number of the latest informatics techniques, this book looks at modelling and bioinformatic strategies; structural genomics and X-ray crystallography; virtual screening; lead optimisation; ADME profiling and vaccine design. A number of relevant case studies, focussing on techniques that have demonstrated their use, will concentrate on G-protein coupled receptors as potential disease targets. Providing details of state-of-the-art research, Drug Design: Cutting Edge Approaches will be invaluable to all drug discovery scientists, including medicinal and combinatorial chemists, molecular modellers, bio- and chemoinformaticians, and pharmacologists, amongst others.