000			03029cam a2200517Mu 4500
001			9781351018302
003			FlBoTFG
005			20220531132428.0
006			m d
007			cr cnu---unuuu
008			190928s2019 flu o 000 0 eng d
040			_aOCoLC-P _beng _cOCoLC-P
020			_a9781351018296
020			_a1351018299
020			_a9781351018302 _q(electronic bk.)
020			_a1351018302 _q(electronic bk.)
020			_a9781351018289 _q(electronic bk. : EPUB)
020			_a1351018280 _q(electronic bk. : EPUB)
020			_a9781351018272 _q(electronic bk. : Mobipocket)
020			_a1351018272 _q(electronic bk. : Mobipocket)
035			_a(OCoLC)1121119891
035			_a(OCoLC-P)1121119891
050		4	_aRS431.P37
072		7	_aMED _x072000 _2bisacsh
072		7	_aSCI _x013000 _2bisacsh
072		7	_aSCI _x013050 _2bisacsh
072		7	_aMQP _2bicssc
082	0	4	_a615.10285 _223
100	1		_aEswari, J. Satya.
245	1	0	_aComputer-Aided Design of Antimicrobial Lipopeptides As Prospective Drug Candidates _h[electronic resource].
260			_aBoca Raton : _bCRC Press LLC, _c2019.
300			_a1 online resource (147 p.)
500			_aDescription based upon print version of record.
520			_aIncrease in antibiotic resistance has forced researchers to develop new drugs against microorganisms. Lipopeptides are produced as secondary metabolites by some microorganisms. Computer-aided Design of Antimicrobial Lipopeptides as Prospective Drug Candidates provides the identification of novel ligands for different antimicrobial lipopeptides. Along with identification, it also provides some of the in silico drug design processes, namely homology modelling, molecular docking, QSAR studies, drug ADMET studies and pharmacophore studies to check the ligand-lipopeptide interaction. Some lipopeptides have shown anti-cancerous properties too, and this book discusses the required templates to design new drugs using computational techniques. Key Features: Focuses on the use lipopeptides as new antimicrobial compounds Presents the basics of in silico modelling for design and development of new drug molecules, and is therefore of interest to beginners in the field Provides a step-by-step process for identification of drug molecules and testing its efficacy in silico Couples with courses on patents and intellectual property rights
588			_aOCLC-licensed vendor bibliographic record.
650		7	_aMEDICAL / Pharmacy _2bisacsh
650		7	_aSCIENCE / Chemistry / General _2bisacsh
650		7	_aSCIENCE / Chemistry / Physical & Theoretical _2bisacsh
650		0	_aPeptide antibiotics _xDesign.
650		0	_aDrugs _xComputer-aided design.
650		0	_aDrug development _xComputer-aided design.
700	1		_aDhagat, Swasti.
700	1		_aYadav, Manisha.
856	4	0	_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9781351018302
856	4	2	_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999			_c72214 _d72214