# DLpTCR: an ensemble deep learning framework for predicting immunogenic peptide recognized by T cell receptor

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/dlptcr-an-ensemble-deep-learning-framework-for-predicting-immunogenic-peptide/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Zhaochun Xu,Meng Luo,Wei‐Zhong Lin,Guangfu Xue,Pingping Wang,Xiyun Jin,Chang Xu,Wenyang Zhou,Yideng Cai,Wenyi Yang,Huan Nie,Qinghua Jiang |
| Citations | 106 |
| DOI | 10.1093/bib/bbab335 |
| Fields | Biochemistry, Genetics and Molecular Biology,Immunology and Microbiology |
| Open Access | false |
| OA Status | closed |
| OpenAlex ID | https://openalex.org/W3196225703 |
| PMID | 34415016 |
| Type | article |
| Year | 2021 |

## Paper authors

- [Pingping Wang](https://scholariq.org/researchers/pingping-wang/)

## Paper primary topic

- [vaccines and immunoinformatics approaches](https://scholariq.org/topics/vaccines-and-immunoinformatics-approaches/)

## Paper topics

- [vaccines and immunoinformatics approaches](https://scholariq.org/topics/vaccines-and-immunoinformatics-approaches/)
- [Immunotherapy and Immune Responses](https://scholariq.org/topics/immunotherapy-and-immune-responses/)
- [Antimicrobial Peptides and Activities](https://scholariq.org/topics/antimicrobial-peptides-and-activities/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.