Deep learning model predicts rice protein interactions from sequence data
A new deep learning framework called RCNNricePPI predicts rice protein-protein interactions from amino acid sequences, achieving an accuracy of 0.8996 ...
Tag: amino acid sequence analysis
Benchmarking ESM2 Across Scales for Predicting Viral Entry Proteins
Viral entry proteins are among the most consequential molecules in infectious disease biology. Positioned at the interface between a virus ...
ImmunoStruct: Advancing Deep Learning in Immunogenicity Prediction
In the realm of immunology, the search for effective vaccines against infectious diseases and cancer has led to the exploration ...
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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