Artificial intelligence for COVID-19 drug discovery and vaccine development
SARS-COV-2 has roused the scientific community with a call to action to combat the growing
pandemic. At the time of this writing, there are as yet no novel antiviral agents or approved …
pandemic. At the time of this writing, there are as yet no novel antiviral agents or approved …
Tumor neoantigens: from basic research to clinical applications
T Jiang, T Shi, H Zhang, J Hu, Y Song, J Wei… - Journal of hematology & …, 2019 - Springer
Tumor neoantigen is the truly foreign protein and entirely absent from normal human
organs/tissues. It could be specifically recognized by neoantigen-specific T cell receptors …
organs/tissues. It could be specifically recognized by neoantigen-specific T cell receptors …
A transformer-based model to predict peptide–HLA class I binding and optimize mutated peptides for vaccine design
Human leukocyte antigen (HLA) can recognize and bind foreign peptides to present them to
specialized immune cells, then initiate an immune response. Computational prediction of the …
specialized immune cells, then initiate an immune response. Computational prediction of the …
DeepTCR is a deep learning framework for revealing sequence concepts within T-cell repertoires
Deep learning algorithms have been utilized to achieve enhanced performance in pattern-
recognition tasks. The ability to learn complex patterns in data has tremendous implications …
recognition tasks. The ability to learn complex patterns in data has tremendous implications …
Alternative mRNA splicing in cancer immunotherapy
L Frankiw, D Baltimore, G Li - Nature Reviews Immunology, 2019 - nature.com
Immunotherapies are yielding effective treatments for several previously untreatable
cancers. Still, the identification of suitable antigens specific to the tumour that can be targets …
cancers. Still, the identification of suitable antigens specific to the tumour that can be targets …
Deep learning in the biomedical applications: Recent and future status
Deep neural networks represent, nowadays, the most effective machine learning technology
in biomedical domain. In this domain, the different areas of interest concern the Omics (study …
in biomedical domain. In this domain, the different areas of interest concern the Omics (study …
Artificial intelligence‐based data‐driven strategy to accelerate research, development, and clinical trials of COVID vaccine
A Sharma, T Virmani, V Pathak… - BioMed research …, 2022 - Wiley Online Library
The global COVID‐19 (coronavirus disease 2019) pandemic, which was caused by the
severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2), has resulted in a …
severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2), has resulted in 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 …
Next-generation computational tools for interrogating cancer immunity
The remarkable success of cancer therapies with immune checkpoint blockers is
revolutionizing oncology and has sparked intensive basic and translational research into the …
revolutionizing oncology and has sparked intensive basic and translational research into the …