Protein attributes contribute to halo-stability, bioinformatics approach.
about
Understanding the undelaying mechanism of HA-subtyping in the level of physic-chemical characteristics of proteinNovel approach for identification of influenza virus host range and zoonotic transmissible sequences by determination of host-related associative positions in viral genome segmentsPrediction of thermostability from amino acid attributes by combination of clustering with attribute weighting: a new vista in engineering enzymes.Discovery of EST-SSRs in lung cancer: tagged ESTs with SSRs lead to differential amino acid and protein expression patterns in cancerous tissues.Structural adaptation of extreme halophilic proteins through decrease of conserved hydrophobic contact surface.Classification of lung cancer tumors based on structural and physicochemical properties of proteins by bioinformatics models.A new avenue for classification and prediction of olive cultivars using supervised and unsupervised algorithms.Halophiles and their enzymes: negativity put to good use.The sulfate-rich and extreme saline sediment of the ephemeral tirez lagoon: a biotope for acetoclastic sulfate-reducing bacteria and hydrogenotrophic methanogenic archaeaPrediction of hepatitis C virus interferon/ribavirin therapy outcome based on viral nucleotide attributes using machine learning algorithms.Computational approaches for classification and prediction of P-type ATPase substrate specificity in Arabidopsis.Protein hypersaline adaptation: insight from amino acids with machine learning algorithms.New insight in the structural features of haloadaptation in α-amylases from halophilic Archaea following homology modeling strategy: folded and stable conformation maintained through low hydrophobicity and highly negative charged surface.Insights into the sequence parameters for halophilic adaptation.Prediction of lung tumor types based on protein attributes by machine learning algorithms.Structural and functional adaptation of Haloferax volcanii TFEα/β.Integration of machine learning and meta-analysis identifies the transcriptomic bio-signature of mastitis disease in cattle.Functional Properties of Amino Acid Side Chains as Biomarkers of Extraterrestrial LifeDeciphering the rationale behind specific codon usage pattern in extremophiles
P2860
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P2860
Protein attributes contribute to halo-stability, bioinformatics approach.
description
2011 nî lūn-bûn
@nan
2011年の論文
@ja
2011年論文
@yue
2011年論文
@zh-hant
2011年論文
@zh-hk
2011年論文
@zh-mo
2011年論文
@zh-tw
2011年论文
@wuu
2011年论文
@zh
2011年论文
@zh-cn
name
Protein attributes contribute to halo-stability, bioinformatics approach.
@en
Protein attributes contribute to halo-stability, bioinformatics approach.
@nl
type
label
Protein attributes contribute to halo-stability, bioinformatics approach.
@en
Protein attributes contribute to halo-stability, bioinformatics approach.
@nl
prefLabel
Protein attributes contribute to halo-stability, bioinformatics approach.
@en
Protein attributes contribute to halo-stability, bioinformatics approach.
@nl
P2093
P2860
P356
P1433
P1476
Protein attributes contribute to halo-stability, bioinformatics approach
@en
P2093
Mahdi Ebrahimi
Mansour Ebrahimi
Narjes Rahpayma Sarvestani
P2860
P2888
P356
10.1186/1746-1448-7-1
P577
2011-05-18T00:00:00Z
P5875
P6179
1046871239