000			02269nam a22004935i 4500
001			978-1-4614-4723-8
003			DE-He213
005			20140220083250.0
007			cr nn 008mamaa
008			120712s2012 xxu| s |||| 0|eng d
020			_a9781461447238 _9978-1-4614-4723-8
024	7		_a10.1007/978-1-4614-4723-8 _2doi
050		4	_aQH324.2-324.25
072		7	_aPSD _2bicssc
072		7	_aUB _2bicssc
072		7	_aSCI056000 _2bisacsh
082	0	4	_a570.285 _223
100	1		_aKarthik, MVK. _eauthor.
245	1	0	_aComputational Strategies Towards Improved Protein Function Prophecy of Xylanases from Thermomyces lanuginosus _h[electronic resource] / _cby MVK Karthik, Pratyoosh Shukla.
264		1	_aNew York, NY : _bSpringer New York : _bImprint: Springer, _c2012.
300			_aVII, 44 p. 12 illus. in color. _bonline resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
347			_atext file _bPDF _2rda
490	1		_aSpringerBriefs in Systems Biology, _x2193-4746
520			_aThis Brief reports on the interplay of an amino-acid mutation towards substrate which could lead to enhanced effects on mutant. These effects need  to  be given consideration in  the  engineering  processes of protein stability and further exploration of such learning are required to provide novel indication for selection of an enzymes.  There  are  very  few  reports  showing  such  stable,  energy  efficient  model  towards  improved  protein function prediction screening in-silico structure based mutagenesis of xylanases from Thermomyces lanuginosus
650		0	_aLife sciences.
650		0	_aBiochemistry.
650		0	_aEnzymes.
650		0	_aBioinformatics.
650	1	4	_aLife Sciences.
650	2	4	_aBioinformatics.
650	2	4	_aEnzymology.
650	2	4	_aProtein Science.
700	1		_aShukla, Pratyoosh. _eauthor.
710	2		_aSpringerLink (Online service)
773	0		_tSpringer eBooks
776	0	8	_iPrinted edition: _z9781461447221
830		0	_aSpringerBriefs in Systems Biology, _x2193-4746
856	4	0	_uhttp://dx.doi.org/10.1007/978-1-4614-4723-8
912			_aZDB-2-SBL
999			_c101513 _d101513