Tag: protein language models

A new ontology-guided FAIR resource called MAOMAO harmonizes peptide toxicity annotations from 56 sources into a unified, evidence-aware dataset spanning ...

A new geometric deep learning framework called TraSPIN uses protein language models and graph learning to predict which small molecules ...

A new Genome Biology study introduces Pep2Net, a platform combining a knowledge base built from 52 peptide databases with a ...

A systematic review of 38 studies finds that protein language models excel on benchmarks but largely lack experimental validation, prompting ...

A new multimodal deep learning framework called GeoEPred combines protein language model semantics with predicted 3D structures to more accurately ...

A new deep learning framework called pLM-HP combines the ESM2 protein language model with a BiLSTM network to predict peptide ...

A new gradient boosting framework called VEFill accurately imputes missing deep mutational scanning scores across protein domains, outperforming existing methods ...

A new machine learning method called PrePssmCas fuses protein language model embeddings with evolutionary PSSM features to classify CRISPR-Cas proteins ...

Researchers used a protein language model and an epistatic rescue algorithm to computationally humanize a bacterial peptide transporter, paving the ...

Viral entry proteins are among the most consequential molecules in infectious disease biology. Positioned at the interface between a virus ...