Associated Papers
Unsupervised learning reveals landscape of local structural motifs across protein classes.
Derry A et al.
Bioinformatics (oxford, England), 2025
40569048 (PubMed )
Supplement: btaf377_supplementary_data.zip › Supplementary_material_PDF.pdf
Establishing the precise evolutionary history of a gene improves prediction of disease-causing missense mutations.
Adebali O et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics, 2016
26890452 (PubMed )
Supplement: gim2015208x1.zip › S1_Table.xls › Sheet1
Structural Insights into the Niemann-Pick C1 (NPC1)-Mediated Cholesterol Transfer and Ebola Infection.
Gong X et al.
Cell, 2016
27238017 (PubMed )
Supplement: mmc1.pdf
Characterization of Disease-Associated Mutations in Human Transmembrane Proteins.
Molnár J et al.
Plos One, 2016
26986070 (PubMed )
Supplement: pone.0151760.s001.xlsx › disease
Identification of 25 new mutations in 40 unrelated Spanish Niemann-Pick type C patients: genotype-phenotype correlations.
Fernandez-Valero EM et al.
Clinical Genetics, 2005
Elucidating the mutational impact in causing Niemann-Pick disease type C: an in silico approach.
Kannan P et al.
Journal of Biomolecular Structure & Dynamics, 0
36264126 (PubMed )
Supplement: supplement_1.docx
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