Molecular docking of epitopes with corresponding MHC locus.

NIAID Data Ecosystem2026-05-02 收录

表位-MHC分子对接

免疫信息学

数据链接：

https://figshare.com/articles/dataset/Molecular_docking_of_epitopes_with_corresponding_MHC_locus_/26168393 数据链接链接失效反馈

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资源简介：

Molecular docking of epitopes with corresponding MHC locus.

创建时间：

2024-07-03

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

PRRpred: A Hybrid Model for Predicting Pattern Recognition Receptors Using Evolutionary Information

免疫信息学

蛋白质功能预测

PRRpred: A Hybrid Model for Predicting Pattern Recognition Receptors Using Evolutionary Information PRRpred is a computational web server developed for predicting Pattern Recognition Receptors, also

Zenodo2026-05-13 更新30

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

真菌病原体粘附素预测

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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

Computational assay to design a multi-epitope-based therapeutic vaccine for latent HIV-1 infection_TableS3.pdf

HIV疫苗

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Table S3: CD4+ T-cell epitopes of CALR, SFRP1, and SUMO1 and their respective MHC-II binding affinities, predicted by at least two out of three immunoinformatics tools

NIAID Data Ecosystem50

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

抗原表位

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

NIAID Data Ecosystem30