Challenges in neoantigen-directed therapeutics
L Lybaert, S Lefever, B Fant, E Smits, B De Geest… - Cancer Cell, 2023 - cell.com
A fundamental prerequisite for the efficacy of cancer immunotherapy is the presence of
functional, antigen-specific T cells within the tumor. Neoantigen-directed therapy is a …
functional, antigen-specific T cells within the tumor. Neoantigen-directed therapy is a …
A comprehensive review and performance evaluation of bioinformatics tools for HLA class I peptide-binding prediction
Human leukocyte antigen class I (HLA-I) molecules are encoded by major histocompatibility
complex (MHC) class I loci in humans. The binding and interaction between HLA-I …
complex (MHC) class I loci in humans. The binding and interaction between HLA-I …
Predicting HLA class II antigen presentation through integrated deep learning
Accurate prediction of antigen presentation by human leukocyte antigen (HLA) class II
molecules would be valuable for vaccine development and cancer immunotherapies …
molecules would be valuable for vaccine development and cancer immunotherapies …
Current strategies and applications for precision drug design
C Wang, P Xu, L Zhang, J Huang, K Zhu… - Frontiers in …, 2018 - frontiersin.org
Since Human Genome Project (HGP) revealed the heterogeneity of individuals, precision
medicine that proposes the customized healthcare has become an intractable and hot …
medicine that proposes the customized healthcare has become an intractable and hot …
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 …
DeepMHC: deep convolutional neural networks for high-performance peptide-MHC binding affinity prediction
Convolutional neural networks (CNN) have been shown to outperform conventional
methods in DNA-protien binding specificity prediction. However, whether we can transfer …
methods in DNA-protien binding specificity prediction. However, whether we can transfer …
In silico design of MHC class I high binding affinity peptides through motifs activation map
Z Xiao, Y Zhang, R Yu, Y Chen, X Jiang, Z Wang… - BMC bioinformatics, 2018 - Springer
Background Finding peptides with high binding affinity to Class I major histocompatibility
complex (MHC-I) attracts intensive research, and it serves a crucial part of developing a …
complex (MHC-I) attracts intensive research, and it serves a crucial part of developing a …
[图书][B] Deep Learning for Predicting Antigen Presentation
B Chen - 2020 - search.proquest.com
The presentation of antigens by Human Leukocyte Antigen (HLA) class II molecules is an
essential component of adaptive immune responses. Accurate prediction of which antigen …
essential component of adaptive immune responses. Accurate prediction of which antigen …
Machine Learning Based Disease Gene Identification and MHC Immune Protein-peptide Binding Prediction
Z Liu - 2018 - scholarcommons.sc.edu
Abstract Machine learning and deep learning methods have been increasingly applied to
solve challenging and important bioinformatics problems such as protein structure …
solve challenging and important bioinformatics problems such as protein structure …