MITNet: Supplementary Dataset

NIAID Data Ecosystem2026-05-01 收录

细胞受体识别

免疫信息学

数据链接：

https://zenodo.org/record/7954427 数据链接链接失效反馈

官方服务：

资源简介：

Feature extracted dataset from aggregated epitope-TCR databases (McPAS-TCR, VDJdb, IEDB) that were used in the MITNet paper.

创建时间：

2023-09-16

DataSheet_2_Screening Novel Vaccine Candidates for Leishmania Donovani by Combining Differential Proteomics and Immunoinformatics Analysis.docx

疫苗候选物筛选

免疫信息学

Visceral leishmaniasis (VL), also known as kala-azar, is the most dangerous form of leishmaniasis. Currently no effective vaccine is available for clinical use. Since the pathogenicity of different Le

NIAID Data Ecosystem60

Additional file 5 of FungalRV: adhesin prediction and immunoinformatics portal for human fungal pathogens

真菌病原体粘附素预测

免疫信息学

Additional file 5:"FungalRV adhesin predictor" scores of In-silico predicted adhesins by Weig et al. "FungalRV adhesin predictor" scores of In-silico predicted adhesins by Weig et al. are listed in th

NIAID Data Ecosystem20

TCR-MHC Germline Interaction Scores Generated Using AIMS

TCR-MHC相互作用分析

免疫信息学

These data were generated using the AIMS interaction scoring function as outlined in the manuscript "A Systematic Characterization of Germline-Encoded Contacts Identifies the Source of Bias in TCR-MHC

Zenodo2022-08-26 更新20

Antigenic peptides of TbLysoPLA and TbGK predicted using BepiPred-2.0 prediction.

抗原表位

免疫信息学

Antigenic peptides of TbLysoPLA and TbGK predicted using BepiPred-2.0 prediction.

NIAID Data Ecosystem30

Epitope prediction for MHC B4, B15, B19 and B21 based on anchor residues.

MHC表位预测

免疫信息学

Predicted epitopes and their localization based on anchor residues that have been described for B4, B15, B19 and B21 [32]–[34]. X represents any amino acid. Anchor residues specific for the different

NIAID Data Ecosystem20

MITNet: Supplementary Dataset

资源简介：

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