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Pathogenicity predictions of single amino acid substitutions calculated using the ESM-1v language model.
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创建时间：
2023-09-02
相关数据集
Input data for our neural network (see Methods).
dfi_i, �i_ji, dci asymmetry, and average dfi within 7Å columns contain input layer features and the disease(1) or neutral(0) column contains ground truth values for pathogenicity. Columns pdb id and p
NIAID Data Ecosystem70
Hydrogen bonds conformational stability table for: Regression model for predicting pathogenic properties of the SOD1 mutants based on the analysis of conformational stability and conservation of hydrogen bonds
A table of hydrogen bonds for the WT SOD1 and its mutants. Hydrogen bonds were detected with cpptraj inside every structure among the conformations analyzed in the WT and mutants. The conformational c
Mendeley Data2017-01-01 更新20
Top 10 ranking non-pathogenic protein families and annotated functions of their proteins for TM-Gammaproteobacteria model.
P and N columns contain the number of pathogenic and non-pathogenic organisms in the protein family respectively.
NIAID Data Ecosystem10
Protein Function by Gene.
Overlap of SIFT [13], T - Tolerated, I - Intolerant (tolerance index score , as suggested by the software documentation), I-LC - Intolerant with Low Confidence (tolerance index score , but median sequ
Figshare2015-12-02 更新20
DataSheet1_Understanding structure-guided variant effect predictions using 3D convolutional neural networks.docx
Predicting pathogenicity of missense variants in molecular diagnostics remains a challenge despite the available wealth of data, such as evolutionary information, and the wealth of tools to integrate
NIAID Data Ecosystem10
