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Found 5 papers, 1 papers with code
ProNet DB: A proteome-wise database for protein surface property representations and RNA-binding profiles
The rapid growth in the number of experimental and predicted protein structures and more complicated protein structures challenge users in computational biology for utilizing the structural information and protein surface property representation.
Interpretable RNA Foundation Model from Unannotated Data for Highly Accurate RNA Structure and Function Predictions
Non-coding RNA structure and function are essential to understanding various biological processes, such as cell signaling, gene expression, and post-transcriptional regulations.
HMD-AMP: Protein Language-Powered Hierarchical Multi-label Deep Forest for Annotating Antimicrobial Peptides
Identifying the targets of an antimicrobial peptide is a fundamental step in studying the innate immune response and combating antibiotic resistance, and more broadly, precision medicine and public health.
Protein-RNA interaction prediction with deep learning: Structure matters
Protein-RNA interactions are of vital importance to a variety of cellular activities.
Model Adaption Object Detection System for Robot
Object detection for robot guidance is a crucial mission for autonomous robots, which has provoked extensive attention for researchers.
