Tree visualizations of protein sequence embedding space enable improved functional clustering of diverse protein superfamilies
Sign Up to like & getrecommendations! Published in 2023 at "Briefings in Bioinformatics"
DOI: 10.1093/bib/bbac619
Abstract: Abstract Protein language models, trained on millions of biologically observed sequences, generate feature-rich numerical representations of protein sequences. These representations, called sequence embeddings, can infer structure-functional properties, despite protein language models being trained on primary… read more here.
Keywords: structure; classification; sequence; protein sequence ... See more keywords
Needleman-Wunsch Attention: A Framework for Enhancing DNA Sequence Embedding
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3401464
Abstract: In many biological research studies that rely on DNA sequence data, calculating the edit distance between two sequences is a vital component. However, computing the edit distance involves dynamic programming, which can be computationally intensive.… read more here.
Keywords: distance; sequence embedding; attention; edit distance ... See more keywords