AI Learns the Language of Hormones to Predict Peptide Drugs
A new deep learning framework called pLM-HP combines the ESM2 protein language model with a BiLSTM network to predict peptide ...
A new deep learning framework called pLM-HP combines the ESM2 protein language model with a BiLSTM network to predict peptide ...
A new multiscale heterogeneous graph transformer called HierHGT-DTI achieves large gains in cold-start drug-target interaction prediction, especially for protein targets ...
Researchers have developed RegPathTopic, a deterministic topic-modeling framework that builds traceable regulatory vocabularies from transcription factor-target graphs and benchmarks them ...
A multi-species bioinformatics analysis of four tardigrade genomes reveals new Dsup diversity, conserved protein motifs, and statistical signatures of convergent ...
Researchers in China have developed GEPMC-Loc, a dynamic gated ensemble network that fuses pre-trained language models with multi-scale convolution to ...
A new bioinformatics study identifies five shared immune-related genes that may connect major depressive disorder and ischemic stroke and could ...
Professor Ruibang Luo of The University of Hong Kong has won the 2026 APEC ASPIRE Prize for his AI-driven genomic ...
Researchers at IIT (ISM) Dhanbad have developed scDEAN, a lightweight deep clustering framework that adaptively fuses gene expression and cellular ...
A new open-source web application called Hap-Browser unifies haplotype visualization, classification, and allele-specific marker design for crop genetics into a ...
Researchers at SRM University have developed a fuzzy–rough set-based gene selection method that consistently shortens selection time across nine benchmark ...
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© 2025 Scienmag - Science Magazine