Elucidating common structural features of human pathogenic variations using large-scale atomic-resolution protein networks
about
Getting to the edge: protein dynamical networks as a new frontier in plant-microbe interactionsComprehensive assessment of cancer missense mutation clustering in protein structuresThree-Dimensional Model of Human Nicotinamide Nucleotide Transhydrogenase (NNT) and Sequence-Structure Analysis of its Disease-Causing Variations.A massively parallel pipeline to clone DNA variants and examine molecular phenotypes of human disease mutationsENCAPP: elastic-net-based prognosis prediction and biomarker discovery for human cancersRegularized logistic regression with network-based pairwise interaction for biomarker identification in breast cancer.The Human Gene Mutation Database: towards a comprehensive repository of inherited mutation data for medical research, genetic diagnosis and next-generation sequencing studies.iRegNet3D: three-dimensional integrated regulatory network for the genomic analysis of coding and non-coding disease mutations.Multilevel biological characterization of exomic variants at the protein level significantly improves the identification of their deleterious effects.mutation3D: Cancer Gene Prediction Through Atomic Clustering of Coding Variants in the Structural Proteome.The Contribution of Missense Mutations in Core and Rim Residues of Protein-Protein Interfaces to Human Disease.
P2860
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P2860
Elucidating common structural features of human pathogenic variations using large-scale atomic-resolution protein networks
description
2014 nî lūn-bûn
@nan
2014年の論文
@ja
2014年論文
@yue
2014年論文
@zh-hant
2014年論文
@zh-hk
2014年論文
@zh-mo
2014年論文
@zh-tw
2014年论文
@wuu
2014年论文
@zh
2014年论文
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name
Elucidating common structural ...... ic-resolution protein networks
@en
type
label
Elucidating common structural ...... ic-resolution protein networks
@en
prefLabel
Elucidating common structural ...... ic-resolution protein networks
@en
P2093
P2860
P356
P1433
P1476
Elucidating common structural ...... ic-resolution protein networks
@en
P2093
Adithya Sagar
Haiyuan Yu
Hao Ran Lee
Matthew Mort
Peter D Stenson
Robert Fragoza
Xiaomu Wei
Xiujuan Wang
P2860
P304
P356
10.1002/HUMU.22534
P577
2014-04-07T00:00:00Z