Artificial intelligence and neoantigens: paving the path for precision cancer immunotherapy
A Bulashevska, Z Nacsa, F Lang, M Braun… - Frontiers in …, 2024 - frontiersin.org
Cancer immunotherapy has witnessed rapid advancement in recent years, with a particular
focus on neoantigens as promising targets for personalized treatments. The convergence of …
focus on neoantigens as promising targets for personalized treatments. The convergence of …
[HTML][HTML] Transformers meets neoantigen detection: a systematic literature review
V Machaca, V Goyzueta, MG Cruz, E Sejje… - Journal of Integrative …, 2024 - degruyter.com
Cancer immunology offers a new alternative to traditional cancer treatments, such as
radiotherapy and chemotherapy. One notable alternative is the development of personalized …
radiotherapy and chemotherapy. One notable alternative is the development of personalized …
[HTML][HTML] Improved prediction of MHC-peptide binding using protein language models
Major histocompatibility complex Class I (MHC-I) molecules bind to peptides derived from
intracellular antigens and present them on the surface of cells, allowing the immune system …
intracellular antigens and present them on the surface of cells, allowing the immune system …
[HTML][HTML] Transfer learning improves pMHC kinetic stability and immunogenicity predictions
The cellular immune response comprises several processes, with the most notable ones
being the binding of the peptide to the Major Histocompability Complex (MHC), the peptide …
being the binding of the peptide to the Major Histocompability Complex (MHC), the peptide …
Neoantigen Detection Using Transformers and Transfer Learning in the Cancer Immunology Context
VEM Arceda - International Conference on Practical Applications of …, 2023 - Springer
Neoantigen detection is the most critical step in developing personalized vaccines in cancer
immunology. However, neoantigen detection depends on the correct pMHC binding and …
immunology. However, neoantigen detection depends on the correct pMHC binding and …
Deep Learning and Transformers in MHC-Peptide Binding and Presentation Towards Personalized Vaccines in Cancer Immunology: A Brief Review
VE Machaca, V Goyzueta, M Cruz, Y Tupac - International Conference on …, 2023 - Springer
Cancer immunology is a new alternative to traditional cancer treatments like radiotherapy
and chemotherapy. There are some strategies, but neoantigen detection for developing …
and chemotherapy. There are some strategies, but neoantigen detection for developing …
Enhancing Protein Interaction Prediction Using Deep Learning and Protein Language Models
N Hashemi - 2023 - search.proquest.com
Proteins are large macromolecules that play critical roles in many cellular activities in living
organisms. These include catalyzing metabolic reactions, mediating signal transduction …
organisms. These include catalyzing metabolic reactions, mediating signal transduction …
Check for Neoantigen Detection Using Transformers and Transfer Learning in the Cancer Immunology Context Vicente Enrique Machaca Arceda ()
NDU Transformers - Practical Applications of Computational …, 2023 - books.google.com
Neoantigen detection is the most critical step in developing personalized vaccines in cancer
immunology. However, neoantigen detection depends on the correct pMHC binding and …
immunology. However, neoantigen detection depends on the correct pMHC binding and …
[PDF][PDF] Explainable Artificial Intelligence for Peptide Presentation Using Statistical Fault Localisation Techniques
G Rooijackers - project-archive.inf.ed.ac.uk
The rise of complex black-box machine learning models has led to an increase in
explainable AI research to understand their reasoning and build trust in these models. Trust …
explainable AI research to understand their reasoning and build trust in these models. Trust …