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001 ocn798795445
003 OCoLC
005 20160527041742.2
006 m o d
007 cr |n|||||||||
008 111105s2012 enka ob 001 0 eng d
019 761929532
020 9781621981404|q(electronic book)
020 1621981401|q(electronic book)
020 9781849733410|q(electronic book)
020 1849733414|q(electronic book)
020 |z9781849731669
020 |z1849731667
035 (OCoLC)798795445|z(OCoLC)761929532
037 |b00154291
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049 RIDW
050 4 RS420
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072 7 MED|x058170|2bisacsh
072 7 MED|x071000|2bisacsh
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082 04 615.19|223
090 RS420
245 00 Drug design strategies :|bquantitative approaches /
|cedited by David J. Livingstone, Andrew M. Davis.
264 1 Cambridge :|bRoyal Society of Chemistry ;|a[LaVergne] :
|b[Ingram Publisher Services],|c[2012]
264 4 |c©2012
300 1 online resource (516 pages) :|billustrations.
336 text|btxt|2rdacontent
337 computer|bc|2rdamedia
338 online resource|bcr|2rdacarrier
347 text file|2rdaft
490 1 RSC Drug Discovery Series ;|vno. 13
504 Includes bibliographical references and index.
520 3 This book brings together drug design practitioners, all
leaders in their field, who are actively advancing the
field of quantitative methods to guide drug discovery,
from structure-based design to empirical statistical
models - from rule-based approaches to toxicology to the
fields of bioinformatics and systems biology. The aim of
the book is to show how various facets of the drug
discovery process can be addressed in a quantitative
fashion (ie: numerical analysis to enable robust
predictions to be made). Each chapter includes a brief
review of the topic showing the historical development of
quantitative approaches, a survey/summary of the current
state-of-the-art, a selection of well chosen examples with
some worked through and an appreciation of what problems
remain to be overcome as well as an indication of how the
field may develop. After an overview of quantitative
approaches to drug design the book describes the
development of concepts of "drug-like properties", of
quantitative structure-activity relationships and
molecular modelling, and in particular, structure-based
design approaches to guide lead optimisation. How to
manage and describe chemical structures, underpins all
quantitative approaches to drug design and these are
described in the following chapters. The next chapter
covers the value of a quantitative approach, and also the
challenge which is to describe the confidence in any
prediction, and methods to assess predictive model
quality. The later chapters describe the application of
quantitative approaches to describing and optimising
potency, selectivity, drug metabolism and pharmacokinetic
properties and toxicology, and the design of chemical
libraries to feed the screening approaches to lead
generation that underpin modern drug discovery. Finally
the book describes the impact of bioinformatics, current
status of predicting ligand affinity direct from the
protein structure, and the application of quantitative
approaches to predicting environmental risk. The book
provides a summary of the current state-of-the-art in
quantitative approaches to drug design, and future
opportunities, but it also provides inspiration to drug
design practitioners to apply careful design, to make best
use of the quantitative methods that are available, while
continuing to improve them. Drug discovery still relies
heavily on random screening and empirical screening
cascades to identify leads and drugs and the process has
many failures to deliver only a small handful of drugs.
With the rapidly escalating costs of drug discovery and
development together with spiralling delivery,
quantitative approaches hold the promise of shifting the
balance of success, to enable drug discovery to maintain
its economic viability.
590 eBooks on EBSCOhost|bEBSCO eBook Subscription Academic
Collection - North America
650 0 Drugs|xDesign.|0https://id.loc.gov/authorities/subjects/
sh88001157
650 2 Computer Simulation.|0https://id.nlm.nih.gov/mesh/D003198
650 7 Drugs|xDesign.|2fast|0https://id.worldcat.org/fast/898790
650 7 Medication.|2homoit|0https://homosaurus.org/v3/
homoit0001007
650 12 Drug Design.|0https://id.nlm.nih.gov/mesh/D015195
650 12 Drug Discovery.|0https://id.nlm.nih.gov/mesh/D055808
650 22 Decision Support Techniques.|0https://id.nlm.nih.gov/mesh/
D003661
650 22 Models, Chemical.|0https://id.nlm.nih.gov/mesh/D008956
650 22 Models, Molecular.|0https://id.nlm.nih.gov/mesh/D008958
650 22 Quantitative Structure-Activity Relationship.|0https://
id.nlm.nih.gov/mesh/D021281
655 4 Electronic books.
700 1 Livingstone, D.|q(David)|0https://id.loc.gov/authorities/
names/no99040159
700 1 Davis, Andrew M.|c(Chemist)|0https://id.loc.gov/
authorities/names/nb2015001322
776 08 |iPrint version:|tDrug design strategies.|dCambridge :
Royal Society of Chemistry, 2012|z9781849731676
|w(OCoLC)759585091
830 0 RSC drug discovery series ;|0https://id.loc.gov/
authorities/names/no2010092643|v13.
856 40 |uhttps://rider.idm.oclc.org/login?url=http://
search.ebscohost.com/login.aspx?direct=true&scope=site&
db=nlebk&AN=519357|zOnline eBook. Access restricted to
current Rider University students, faculty, and staff.
856 42 |3Instructions for reading/downloading this eBook|uhttp://
guides.rider.edu/ebooks/ebsco
901 MARCIVE 20231220
948 |d20160607|cEBSCO|tebscoebooksacademic|lridw
994 92|bRID
