001440432 000__ 03821cam\a2200577\a\4500 001440432 001__ 1440432 001440432 003__ OCoLC 001440432 005__ 20230309004603.0 001440432 006__ m\\\\\o\\d\\\\\\\\ 001440432 007__ cr\un\nnnunnun 001440432 008__ 211021s2021\\\\sz\\\\\\o\\\\\000\0\eng\d 001440432 019__ $$a1280106977$$a1280196788$$a1287768848 001440432 020__ $$a9783030852818$$q(electronic bk.) 001440432 020__ $$a3030852814$$q(electronic bk.) 001440432 020__ $$z3030852806 001440432 020__ $$z9783030852801 001440432 0247_ $$a10.1007/978-3-030-85281-8$$2doi 001440432 035__ $$aSP(OCoLC)1280048465 001440432 040__ $$aYDX$$beng$$epn$$cYDX$$dGW5XE$$dEBLCP$$dOCLCF$$dDCT$$dOCLCO$$dOCLCQ$$dOCLCO$$dUKAHL$$dOCLCQ 001440432 049__ $$aISEA 001440432 050_4 $$aRM301 001440432 08204 $$a615.1$$223 001440432 24500 $$aBiophysical and computational tools in drug discovery /$$cAnil Kumar Saxena, editor ; with contributions by A. Arora [and more]. 001440432 260__ $$aCham, Switzerland :$$bSpringer,$$c2021. 001440432 300__ $$a1 online resource 001440432 336__ $$atext$$btxt$$2rdacontent 001440432 337__ $$acomputer$$bc$$2rdamedia 001440432 338__ $$aonline resource$$bcr$$2rdacarrier 001440432 347__ $$atext file 001440432 347__ $$bPDF 001440432 4901_ $$aTopics in medicinal chemistry,$$x1862-247X ;$$vv. 37 001440432 5050_ $$aKinetic profiling of fragments by TR-FRET -- Role of Structural biology in drug discovery with emphasis on X-ray crystallography -- A computational search for peptide vaccines using novel mathematical descriptors of sequences of emerging pathogens -- Solution NMR methods in Drug Discovery for the series -- Applications of Mass Spectrometry in Herbal Drug Research -- Generative machine learning for drug discovery -- Structure and ligand based virtual screening in drug discovery -- Quantum Chemical and Quantum Dynamics Techniques for Drug Discovery Including Bioinorganic Compounds. 001440432 506__ $$aAccess limited to authorized users. 001440432 520__ $$aThis book reviews recent physicochemical and biophysical techniques applied in drug discovery research, and it outlines the latest advances in computational drug design. Divided into 10 chapters, the book discusses about the role of structural biology in drug discovery, and offers useful application cases of several biophysical and computational methods, including time-resolved fluorometry (TRF) with Förster resonance energy transfer (FRET), X-Ray crystallography, nuclear magnetic resonance spectroscopy, mass spectroscopy, generative machine learning for inverse molecular design, quantum mechanics/molecular mechanics (QM/MM,ONIOM) and quantum molecular dynamics (QMT) methods. Particular attention is given to computational search techniques applied to peptide vaccines using novel mathematical descriptors and structure and ligand-based virtual screening techniques in drug discovery research. Given its scope, the book is a valuable resource for students, researchers and professionals from pharmaceutical industry interested in drug design and discovery. 001440432 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed October 27, 2021). 001440432 650_0 $$aPharmacology. 001440432 650_0 $$aPharmacology$$xData processing. 001440432 650_0 $$aDrug development. 001440432 650_6 $$aPharmacologie. 001440432 650_6 $$aPharmacologie$$xInformatique. 001440432 650_6 $$aMédicaments$$xDéveloppement. 001440432 655_0 $$aElectronic books. 001440432 7001_ $$aSaxena, Anil Kumar$$c(Pharmaceutical scientist),$$eeditor. 001440432 77608 $$iPrint version:$$tBiophysical and computational tools in drug discovery.$$dCham, Switzerland : Springer, 2021$$z3030852806$$z9783030852801$$w(OCoLC)1260664835 001440432 830_0 $$aTopics in medicinal chemistry (Springer (Firm)) ;$$vv. 37.$$x1862-247X 001440432 852__ $$bebk 001440432 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-030-85281-8$$zOnline Access$$91397441.1 001440432 909CO $$ooai:library.usi.edu:1440432$$pGLOBAL_SET 001440432 980__ $$aBIB 001440432 980__ $$aEBOOK 001440432 982__ $$aEbook 001440432 983__ $$aOnline 001440432 994__ $$a92$$bISE