GGNpTCR: A Generative Graph Structure Neural Network for Predicting Immunogenic Peptides for T-cell Immune Response-Reference-Cited by-同舟云学术

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GGNpTCR: A Generative Graph Structure Neural Network for Predicting Immunogenic Peptides for T-cell Immune Response

Published:2023-11-22 Issue:23 Volume:63 Page:7557-7567
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Zhao Minghua¹,Xu Steven X.²,Yang Yaning¹^ORCID,Yuan Min³

Affiliation:

1. Department of Statistics and Finance, University of Science and Technology of China, Hefei 230026, China

2. Genmab US, Inc., Princeton, New Jersey 08540, United States

3. School of Public Health Administration, Anhui Medical University, Hefei 230032, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Anhui Province

Publisher

American Chemical Society (ACS)

Subject

Library and Information Sciences,Computer Science Applications,General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.3c01293

Reference45 articles.

1. A guide to cancer immunotherapy: from T cell basic science to clinical practice

2. Neoantigens in cancer immunotherapy

3. Neoantigen Vaccines Pass the Immunogenicity Test

4. An immunogenic personal neoantigen vaccine for patients with melanoma

5. Phenotypic Analysis of Antigen-Specific T Lymphocytes

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