Deep learning framework DeepAIR could improve understanding of adaptive immunity
Researchers presented a deep learning framework, DeepAIR, to accurately predict adaptive immune receptor (AIR)-antigen binding.
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Researchers presented a deep learning framework, DeepAIR, to accurately predict adaptive immune receptor (AIR)-antigen binding.
Researchers evaluate the impact of tumor-derived GDF-15 on responses to anti-PD-1 immunotherapy.
A recent study characterized the concentration and binding affinity of antibodies induced by SARS-CoV-2 WT strain against the Omicron subvariant BA.1.
A newly discovered radionuclide-based agent (CB-2PA-NT) has been shown to have high tumor uptake, sustained tumor retention, and high contrast in preclinical models, making it a prime candidate for a novel theranostics approach.
/PRNewswire/ -- The "Constrained Peptide Drugs Market - A Global and Regional Analysis: Focus on Peptide Type, Product, and Region-Wise Analysis - Analysis and...