Associated Papers
WilsonGenAI a deep learning approach to classify pathogenic variants in Wilson Disease.
Vatsyayan A et al.
Plos One, 2024
38758754 (PubMed )
Supplement: pone.0303787.s016.xlsx › S4table
Lysine acetylation regulates the interaction between proteins and membranes.
Okada AK et al.
Nature Communications, 2021
34753925 (PubMed )
Supplement: 41467_2021_26657_MOESM4_ESM.zip › Bioinformatics.zip › Datasets › Unused › PTMVAR_download.xlsx › Humsavar_overlap_2PSP_PTM5-14-1
Pilot study of expanded carrier screening for 11 recessive diseases in China: results from 10,476 ethnically diverse couples.
Zhao S et al.
European Journal of Human Genetics : Ejhg, 2019
30275481 (PubMed )
Supplement: 41431_2018_253_MOESM10_ESM.xlsx › Sheet1
Spectrum of mutations in the ATP binding domain of ATP7B gene of Wilson Disease in a regional Indian cohort.
Guggilla SR et al.
Gene, 2015
GESPA: classifying nsSNPs to predict disease association.
Khurana JK et al.
Bmc Bioinformatics, 2015
26206375 (PubMed )
Supplement: 12859_2015_673_MOESM2_ESM.xls › Sheet1
Molecular pathogenesis of Wilson disease among Indians: a perspective on mutation spectrum in ATP7B gene, prevalent defects, clinical heterogeneity and implication towards diagnosis.
Gupta A et al.
Cellular and Molecular Neurobiology, 2007
Identification and molecular characterization of 18 novel mutations in the ATP7B gene from Indian Wilson disease patients: genotype.
Kumar S et al.
Clinical Genetics, 2005
Familial gene analysis for Wilson disease from north-west Indian patients.
Kumar S et al.
Annals of Human Biology, 0
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