No.

Publication Date

Citing Article

1

2025

Lys Sanz Moreta, Ibel Carri, Heli M. Garcia Alvarez, Morten Nielsen. 2025; 15509: 112.  https://doi.org/10.1007/978-3-031-82484-5_9

2

2025

Lakshman Tejaswi, Poornima Ramesh, Shetty Aditya, Rajesh Raju, Thottethodi Subrahmanya Keshava Prasad. Computational neoantigen prediction for cancer immunotherapy, Genes & Immunity. 2025;   https://doi.org/10.1038/s41435-025-00365-z

3

2025

Hyunseung Kong, Advances in Personalized Cancer Vaccine Development: AI Applications from Neoantigen Discovery to mRNA Formulation, BioChem. 2025; 5: 5.  https://doi.org/10.3390/biochem5020005

4

2025

Ibel Carri, Erika Schwab, Juan Carlos Trivino, Erika M. von Euw, Morten Nielsen, José Mordoh, María Marcela Barrio. VACCIMEL, an allogeneic melanoma vaccine, efficiently triggers T cell immune responses against neoantigens and alloantigens, as well as against tumor-associated antigens, Frontiers in Immunology. 2025; 15: 1496204.  https://doi.org/10.3389/fimmu.2024.1496204

5

2025

Ankita Sharma, Yen-Che Hsiao, Abhishek Dutta. System Theoretic Methods in Drug Discovery and Vaccine Formulation: Review and Perspectives, Drugs and Drug Candidates. 2025; 4: 28.  https://doi.org/10.3390/ddc4030028

6

2025

Yan Shao, Shuguang Ge, Ruizhe Dong, Wei Ji, Chaoran Qin, Pengbo Wen. NeoTImmuML: a machine learning-based prediction model for human tumor neoantigen immunogenicity, Frontiers in Immunology. 2025; 16: 1681396.  https://doi.org/10.3389/fimmu.2025.1681396

7

2024

Yat-tsai Richie Wan, Zeynep Koşaloğlu-Yalçın, Bjoern Peters, Morten Nielsen. A large-scale study of peptide features defining immunogenicity of cancer neo-epitopes, NAR Cancer. 2024; 6: zcae002.  https://doi.org/10.1093/narcan/zcae002