PepTracR: a Centralized Database for Pathogen Peptides and Neoepitopes based on 3D Structures information and Similarity-search in T-cell Immunotherapy Research

Author:

Shih Tao-Chuan1ORCID,Yang Cing-Han2ORCID,Chen Ying-Ja3ORCID,Yeh Li-Tzu3ORCID,Lu Chi-Wei3ORCID,Pai Tun-Wen1ORCID

Affiliation:

1. Department of Computer Science and Information Engineering, National Taipei University of Technology, Taiwan

2. Department of Computer Science and Engineering, National Taiwan Ocean University, Taiwan

3. ACER, Taiwan

Publisher

ACM

Reference21 articles.

1. Michal Bassani-Sternberg, Chloé Chong, Philippe Guillaume, Marthe Solleder, HuiSong Pak, Philippe O Gannon, Lana E Kandalaft, George Coukos, and David Gfeller. 2017. Deciphering HLA-I motifs across HLA peptidomes improves neo-antigen predictions and identifies allostery regulating HLA specificity. PLoS computational biology 13, 8 (2017), e1005725.

2. UniProt Consortium. 2015. UniProt: a hub for protein information. Nucleic acids research 43, D1 (2015), D204–D212.

3. TCR3d: The T cell receptor structural repertoire database;Gowthaman Ragul;Bioinformatics,2019

4. NetMHCpan-4.0: Improved Peptide–MHC Class I Interaction Predictions Integrating Eluted Ligand and Peptide Binding Affinity Data

5. Jinwoo Leem, Saulo H P de Oliveira, Konrad Krawczyk, and Charlotte M Deane. 2018. STCRDab: the structural T-cell receptor database. Nucleic acids research 46, D1 (2018), D406–D412.

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