2010
DOI: 10.1186/1472-6807-10-s1-s5
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Discrimination of thermophilic and mesophilic proteins

Abstract: Background There is a considerable literature on the source of the thermostability of proteins from thermophilic organisms. Understanding the mechanisms for this thermostability would provide insights into proteins generally and permit the design of synthetic hyperstable biocatalysts.Results We have systematically tested a large number of sequence and structure derived quantities for their ability to discriminate thermostable proteins from their non-thermostable orthologs using sets of mesophile-thermo… Show more

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Cited by 115 publications
(61 citation statements)
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“…Hydrogen bonding between the chains makes the structure of lignocellulosic biomass very rigid and recalcitrant (Yamada et al 2013). Thermostable cellulases are characterized by hydrophobic protein core and polarity at the surface; compact structure with lesser internal voids; higher content of proline and lesser content of asparagines, glutamine, methionine and cysteine; increased level of H-bonding, isoelectric points and salt bridges (Taylor and Vaisman 2010;Li et al 2011).…”
Section: Thermostable Cellulase Familymentioning
confidence: 99%
“…Hydrogen bonding between the chains makes the structure of lignocellulosic biomass very rigid and recalcitrant (Yamada et al 2013). Thermostable cellulases are characterized by hydrophobic protein core and polarity at the surface; compact structure with lesser internal voids; higher content of proline and lesser content of asparagines, glutamine, methionine and cysteine; increased level of H-bonding, isoelectric points and salt bridges (Taylor and Vaisman 2010;Li et al 2011).…”
Section: Thermostable Cellulase Familymentioning
confidence: 99%
“…We have computed several sequence based numerical indices, based on the quantities that www.ijorcs.org other authors have reported that are associated with thermostability. We tested their ability to successfully discriminate between thermophile/mesophile pairs [2].…”
Section: Datasetmentioning
confidence: 99%
“…In second mode, dipeptide composition frequencies; in third mode, physical-chemical features of table (2) and in forth mode, all the previous features were used to build feature vector of samples. We applied this division to study the effect of different bunches of features on discrimination power and evaluation measures.…”
Section: Wwwijorcsorgmentioning
confidence: 99%
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