Predicting the phenotypic effects of non-synonymous single nucleotide polymorphisms based on support vector machines
about
Analyzing effects of naturally occurring missense mutationsAnalysis of genetic variation and potential applications in genome-scale metabolic modelingComputational approaches to study the effects of small genomic variations.First- and second-shell metal binding residues in human proteins are disproportionately associated with disease-related SNPs.An integrated database-pipeline system for studying single nucleotide polymorphisms and diseases.Prediction of amyloid fibril-forming segments based on a support vector machinePredicting changes in protein thermostability brought about by single- or multi-site mutationsComputational and experimental approaches to reveal the effects of single nucleotide polymorphisms with respect to disease diagnosticsPhylomedicine: an evolutionary telescope to explore and diagnose the universe of disease mutations.Improving the thermostability of methyl parathion hydrolase from Ochrobactrum sp. M231 using a computationally aided method.Single nucleotide variations: biological impact and theoretical interpretation.Presep: predicting the propensity of a protein being secreted into the supernatant when expressed in Pichia pastoris.The road from next-generation sequencing to personalized medicine.Exploring functional variant discovery in non-coding regions with SInBaD.Towards precision medicine: advances in computational approaches for the analysis of human variantsHypothesis-driven candidate gene association studies: practical design and analytical considerations.Bioinformatic tools for identifying disease gene and SNP candidates.Role of Structural Bioinformatics in Drug Discovery by Computational SNP Analysis: Analyzing Variation at the Protein Level.Computational approaches for predicting mutant protein stability.Positional conservation and amino acids shape the correct diagnosis and population frequencies of benign and damaging personal amino acid mutations.A combined functional annotation score for non-synonymous variants.Hansa: an automated method for discriminating disease and neutral human nsSNPs.Improving the acidic stability of a methyl parathion hydrolase by changing basic residues to acidic residues.
P2860
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P2860
Predicting the phenotypic effects of non-synonymous single nucleotide polymorphisms based on support vector machines
description
2007 nî lūn-bûn
@nan
2007 թուականի Նոյեմբերին հրատարակուած գիտական յօդուած
@hyw
2007 թվականի նոյեմբերին հրատարակված գիտական հոդված
@hy
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
name
Predicting the phenotypic effe ...... sed on support vector machines
@ast
Predicting the phenotypic effe ...... sed on support vector machines
@en
Predicting the phenotypic effe ...... ed on support vector machines.
@nl
type
label
Predicting the phenotypic effe ...... sed on support vector machines
@ast
Predicting the phenotypic effe ...... sed on support vector machines
@en
Predicting the phenotypic effe ...... ed on support vector machines.
@nl
prefLabel
Predicting the phenotypic effe ...... sed on support vector machines
@ast
Predicting the phenotypic effe ...... sed on support vector machines
@en
Predicting the phenotypic effe ...... ed on support vector machines.
@nl
P2093
P2860
P356
P1433
P1476
Predicting the phenotypic effe ...... sed on support vector machines
@en
P2093
Juhua Zhang
Ningfeng Wu
Xuexia Guo
Yunliu Fan
P2860
P2888
P356
10.1186/1471-2105-8-450
P50
P577
2007-11-16T00:00:00Z
P5875
P6179
1051159439