Progress on the development of prediction tools for detecting disease causing mutations in proteins
Proteins are involved in a variety of functions in living organisms. The mutation of amino acid
residues in a protein alters its structure, stability, binding, and function, with some mutations …
residues in a protein alters its structure, stability, binding, and function, with some mutations …
Exploring the ability of the MD+ FoldX method to predict SARS-CoV-2 antibody escape mutations using large-scale data
Antibody escape mutations pose a significant challenge to the effectiveness of vaccines and
antibody-based therapies. The ability to predict these escape mutations with computer …
antibody-based therapies. The ability to predict these escape mutations with computer …
[HTML][HTML] Identification of antibody-resistant SARS-CoV-2 mutants via N4-Hydroxycytidine mutagenesis
P Kumar, X Zhang, R Shaha, M Kschischo… - Antiviral research, 2024 - Elsevier
Monoclonal antibodies targeting the Spike protein of SARS-CoV-2 are effective against
COVID-19 and might mitigate future pandemics. However, their efficacy is challenged by the …
COVID-19 and might mitigate future pandemics. However, their efficacy is challenged by the …
Identification of lysosome-related hub genes as potential biomarkers and immune infiltrations of moyamoya disease by multiple bioinformatics methods and machine …
W Li, X Zhao, J Fu, L Cheng - Heliyon, 2024 - cell.com
Background Moyamoya disease (MMD), characterized by chronic cerebrovascular
pathology, poses a rare yet significant clinical challenge, associated with elevated rates of …
pathology, poses a rare yet significant clinical challenge, associated with elevated rates of …
From Code to Cure: The Impact of Artificial Intelligence in Biomedical Applications
MM Gromiha, P Preethi, M Pandey - BioMedInformatics, 2024 - mdpi.com
Artificial intelligence (AI), a branch of computer science, involves developing intelligent
computer programs to mimic human intelligence and automate various processes. AI has …
computer programs to mimic human intelligence and automate various processes. AI has …
Deepepiil13: Deep Learning for Prediction of Il-13 Inducing Epitopes Using Pre-Trained Language Models and Multi-Window Convolutional Neural Networks
CC Chuang, YY Ou - Available at SSRN 4896237 - papers.ssrn.com
Abstract Interleukin-13 (IL-13) is a key cytokine involved in allergic inflammation and the
cytokine storm associated with severe COVID-19. Identifying antigenic epitopes capable of …
cytokine storm associated with severe COVID-19. Identifying antigenic epitopes capable of …