Accurate prediction of deleterious protein kinase polymorphisms.
about
Identification of ALK as a major familial neuroblastoma predisposition geneAnnotating individual human genomesComputational modeling of structurally conserved cancer mutations in the RET and MET kinases: the impact on protein structure, dynamics, and stability.Automated inference of molecular mechanisms of disease from amino acid substitutions.Interpretation of the consequences of mutations in protein kinases: combined use of bioinformatics and text mining.Combined analysis of gene expression, DNA copy number, and mutation profiling data to display biological process anomalies in individual breast cancers.The energy landscape analysis of cancer mutations in protein kinasesAn integrated approach to the interpretation of single amino acid polymorphisms within the framework of CATH and Gene3D.Sequence and structure signatures of cancer mutation hotspots in protein kinasesCancer driver mutations in protein kinase genesPrediction of protein modification sites of pyrrolidone carboxylic acid using mRMR feature selection and analysisPrioritization of pathogenic mutations in the protein kinase superfamilyVariation Interpretation Predictors: Principles, Types, Performance, and Choice.Prediction of disease causing non-synonymous SNPs by the Artificial Neural Network Predictor NetDiseaseSNP.wKinMut: an integrated tool for the analysis and interpretation of mutations in human protein kinases.Prediction and prioritization of rare oncogenic mutations in the cancer Kinome using novel features and multiple classifiersKinMutRF: a random forest classifier of sequence variants in the human protein kinase superfamily.Characterization of DNA variants in the human kinome in breast cancer.Congenital disease SNPs target lineage specific structural elements in protein kinasesFrom cancer genomes to cancer models: bridging the gapsPredicting functional regulatory polymorphisms.Analytical methods for inferring functional effects of single base pair substitutions in human cancers.Structure-functional prediction and analysis of cancer mutation effects in protein kinases.The Complementarity Between Protein-Specific and General Pathogenicity Predictors for Amino Acid Substitutions.wKinMut-2: Identification and Interpretation of Pathogenic Variants in Human Protein Kinases.Analysis of somatic mutations across the kinome reveals loss-of-function mutations in multiple cancer types.Position-specific analysis and prediction of protein pupylation sites based on multiple features.Molecular damage in Fabry disease: characterization and prediction of alpha-galactosidase A pathological mutations.Hansa: an automated method for discriminating disease and neutral human nsSNPs.
P2860
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P2860
Accurate prediction of deleterious protein kinase polymorphisms.
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年学术文章
@wuu
2007年学术文章
@zh
2007年学术文章
@zh-cn
2007年学术文章
@zh-hans
2007年学术文章
@zh-my
2007年学术文章
@zh-sg
2007年學術文章
@yue
2007年學術文章
@zh-hant
name
Accurate prediction of deleterious protein kinase polymorphisms.
@en
Accurate prediction of deleterious protein kinase polymorphisms.
@nl
type
label
Accurate prediction of deleterious protein kinase polymorphisms.
@en
Accurate prediction of deleterious protein kinase polymorphisms.
@nl
prefLabel
Accurate prediction of deleterious protein kinase polymorphisms.
@en
Accurate prediction of deleterious protein kinase polymorphisms.
@nl
P356
P1433
P1476
Accurate prediction of deleterious protein kinase polymorphisms.
@en
P2093
Ali Torkamani
Nicholas J Schork
P304
P356
10.1093/BIOINFORMATICS/BTM437
P407
P577
2007-09-12T00:00:00Z