Protein design and variant prediction using autoregressive generative models
Sign Up to like & getrecommendations! Published in 2021 at "Nature Communications"
DOI: 10.1038/s41467-021-22732-w
Abstract: The ability to design functional sequences and predict effects of variation is central to protein engineering and biotherapeutics. State-of-art computational methods rely on models that leverage evolutionary information but are inadequate for important applications where… read more here.
Keywords: prediction using; design variant; protein design; variant prediction ... See more keywords
Different structural variant prediction tools yield considerably different results in Caenorhabditis elegans
Sign Up to like & getrecommendations! Published in 2022 at "PLOS ONE"
DOI: 10.1371/journal.pone.0278424
Abstract: The accurate characterization of structural variation is crucial for our understanding of how large chromosomal alterations affect phenotypic differences and contribute to genome evolution. Whole-genome sequencing is a popular approach for identifying structural variants, but… read more here.
Keywords: different structural; caenorhabditis elegans; variant; variant prediction ... See more keywords