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 …

A comprehensive review and performance evaluation of bioinformatics tools for HLA class I peptide-binding prediction

S Mei, F Li, A Leier, TT Marquez-Lago… - Briefings in …, 2020 - academic.oup.com
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 …

Predicting HLA class II antigen presentation through integrated deep learning

B Chen, MS Khodadoust, N Olsson, LE Wagar… - Nature …, 2019 - nature.com
Accurate prediction of antigen presentation by human leukocyte antigen (HLA) class II
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 …

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 …

DeepMHC: deep convolutional neural networks for high-performance peptide-MHC binding affinity prediction

J Hu, Z Liu - bioRxiv, 2017 - biorxiv.org
Convolutional neural networks (CNN) have been shown to outperform conventional
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 …

[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 …

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 …