Using structural bioinformatics to investigate the impact of non synonymous SNPs and disease mutations: scope and limitations.
about
Beyond DNA: An Integrated and Functional Approach for Classifying Germline Variants in Breast Cancer GenesAmino acid changes in disease-associated variants differ radically from variants observed in the 1000 genomes project dataset.Molecular dynamics-based analyses of the structural instability and secondary structure of the fibrinogen gamma chain protein with the D356V mutation.Predicting disease-associated substitution of a single amino acid by analyzing residue interactions.Between proteins and phenotypes: annotation and interpretation of mutations.Cytotoxic aggregation and amyloid formation by the myostatin precursor proteinOn the effect of protein conformation diversity in discriminating among neutral and disease related single amino acid substitutions.Impact of the 237th residue on the folding of human carbonic anhydrase II.Predicting aggregation-prone sequences in proteins.Multilevel biological characterization of exomic variants at the protein level significantly improves the identification of their deleterious effects.The Bioinformatics Report of Mutation Outcome on NADPH Flavin Oxidoreductase Protein Sequence in Clinical Isolates of H. pylori.Searching for new genetic variations in expression databases for the GABAergic and glutamatergic systems.Emerging Diagnostic and Therapeutic Potentials of Human Hair Proteomics.An Integrated Computational Framework to Assess the Mutational Landscape of α-L-Iduronidase IDUA Gene.
P2860
Q28072478-B6EBF25E-14EA-4DDD-9890-E9241B7D226FQ30356969-29E079DE-8043-4C2E-B218-9C8AF412B112Q30393472-831D93F4-F8D9-463A-AAF6-F5DADEB3D85FQ30398465-8376DD5E-C3BE-4BFF-8A5C-045668E1A75BQ33503917-1F9CF4F0-F1E8-4CA3-8700-35ADDB64BAFEQ33531807-EC711A43-0DAC-411C-B23F-913342D0DB77Q34324950-E1D101BD-A181-437E-9FA1-779AC190414DQ35048525-D52F3467-F22E-407D-BB75-5B475475B0D9Q38240694-EC5C4C26-E130-41DA-8FA5-AF247DE7CD3BQ39788012-3FAB3D83-1F34-4F0B-AC75-BAEE9B938C8FQ40048498-D7868F57-AE5F-46CF-86C4-4E63DCE3EAF0Q43465731-902672E4-29E4-4652-9D60-58AD3AAD4103Q47190875-A1759DAA-AFAF-4B56-B19D-BD544D3FBD71Q48285312-B7367260-7D4E-4326-8742-51E4BAA2880F
P2860
Using structural bioinformatics to investigate the impact of non synonymous SNPs and disease mutations: scope and limitations.
description
2009 nî lūn-bûn
@nan
2009 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2009 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2009年の論文
@ja
2009年論文
@yue
2009年論文
@zh-hant
2009年論文
@zh-hk
2009年論文
@zh-mo
2009年論文
@zh-tw
2009年论文
@wuu
name
Using structural bioinformatic ...... ations: scope and limitations.
@ast
Using structural bioinformatic ...... ations: scope and limitations.
@en
type
label
Using structural bioinformatic ...... ations: scope and limitations.
@ast
Using structural bioinformatic ...... ations: scope and limitations.
@en
prefLabel
Using structural bioinformatic ...... ations: scope and limitations.
@ast
Using structural bioinformatic ...... ations: scope and limitations.
@en
P2860
P1433
P1476
Using structural bioinformatic ...... ations: scope and limitations.
@en
P2093
Fréderic Rousseau
P2860
P2888
P356
10.1186/1471-2105-10-S8-S9
P478
10 Suppl 8
P577
2009-08-27T00:00:00Z
P5875
P6179
1015312753