Proteome-scale prediction of molecular mechanisms underlying dominant genetic diseases
Many dominant genetic disorders result from protein-altering mutations, acting primarily
through dominant-negative (DN), gain-of-function (GOF), and loss-of-function (LOF) …
through dominant-negative (DN), gain-of-function (GOF), and loss-of-function (LOF) …
GORetriever: reranking protein-description-based GO candidates by literature-driven deep information retrieval for protein function annotation
The vast majority of proteins still lack experimentally validated functional annotations, which
highlights the importance of developing high-performance automated protein function …
highlights the importance of developing high-performance automated protein function …
Neuropeptidomics of the American Lobster Homarus americanus
The American lobster, Homarus americanus, is not only of considerable economic
importance but has also emerged as a premier model organism in neuroscience research …
importance but has also emerged as a premier model organism in neuroscience research …
Functional annotation of a divergent genome using sequence and structure-based homology.
D Svedberg, RR Winiger, A Berg, H Sharma… - bioRxiv, 2023 - biorxiv.org
Background Microsporidia are a large taxon of intracellular pathogens characterized by
extraordinarily streamlined genomes with unusually high sequence divergence and many …
extraordinarily streamlined genomes with unusually high sequence divergence and many …
Boosting the Predictive Power of Protein Representations with a Corpus of Text Annotations
Protein language models are trained to predict amino acid sequences from vast protein
databases, while learning to represent proteins as feature vectors. These vector …
databases, while learning to represent proteins as feature vectors. These vector …