Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Maxwell L Bileschi"'
Publikováno v:
eLife, Vol 12 (2023)
Predicting the function of a protein from its amino acid sequence is a long-standing challenge in bioinformatics. Traditional approaches use sequence alignment to compare a query sequence either to thousands of models of protein families or to large
Externí odkaz:
https://doaj.org/article/33d86d5d0776407c864fb865a15a43a0
Autor:
Typhaine Paysan-Lafosse, Matthias Blum, Sara Chuguransky, Tiago Grego, Beatriz Lázaro Pinto, Gustavo A Salazar, Maxwell L Bileschi, Peer Bork, Alan Bridge, Lucy Colwell, Julian Gough, Daniel H Haft, Ivica Letunić, Aron Marchler-Bauer, Huaiyu Mi, Darren A Natale, Christine A Orengo, Arun P Pandurangan, Catherine Rivoire, Christian J A Sigrist, Ian Sillitoe, Narmada Thanki, Paul D Thomas, Silvio C E Tosatto, Cathy H Wu, Alex Bateman
Publikováno v:
Nucleic Acids Research. 51:D418-D427
The InterPro database (https://www.ebi.ac.uk/interpro/) provides an integrative classification of protein sequences into families, and identifies functionally important domains and conserved sites. Here, we report recent developments with InterPro (v
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::153bbcbf1ab56d7f060b0d1aec9c1f19
https://doi.org/10.1093/nar/gkac993
https://doi.org/10.1093/nar/gkac993
Autor:
Lorna Richardson, Ben Allen, Germana Baldi, Martin Beracochea, Maxwell L Bileschi, Tony Burdett, Josephine Burgin, Juan Caballero-Pérez, Guy Cochrane, Lucy J Colwell, Tom Curtis, Alejandra Escobar-Zepeda, Tatiana A Gurbich, Varsha Kale, Anton Korobeynikov, Shriya Raj, Alexander B Rogers, Ekaterina Sakharova, Santiago Sanchez, Darren J Wilkinson, Robert D Finn
Publikováno v:
Nucleic acids research.
The MGnify platform (https://www.ebi.ac.uk/metagenomics) facilitates the assembly, analysis and archiving of microbiome-derived nucleic acid sequences. The platform provides access to taxonomic assignments and functional annotations for nearly half a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ec15cf1376a4136ad9aaa198034fb286
https://pubmed.ncbi.nlm.nih.gov/36477304
https://pubmed.ncbi.nlm.nih.gov/36477304
Predicting the function of a protein from its amino acid sequence is a long-standing challenge in bioinformatics. Traditional approaches use sequence alignment to compare a query sequence either to thousands of models of protein families or to large
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::150b89b1c787d3db28e217aba7e53a5d
https://doi.org/10.1101/2021.09.20.461077
https://doi.org/10.1101/2021.09.20.461077
Publikováno v:
KDD
Recent work demonstrated a large ensemble of convolutional neural networks (CNNs) outperforms industry-standard approaches at annotating protein sequences that are far from the training data. These results highlight the potential of deep learning to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e1e672efa6c09734f99b7c529b4821a
https://doi.org/10.1145/3447548.3467163
https://doi.org/10.1145/3447548.3467163
Autor:
Maxwell L, Bileschi, David, Belanger, Drew H, Bryant, Theo, Sanderson, Brandon, Carter, D, Sculley, Alex, Bateman, Mark A, DePristo, Lucy J, Colwell
Publikováno v:
Nature biotechnology. 40(6)
Understanding the relationship between amino acid sequence and protein function is a long-standing challenge with far-reaching scientific and translational implications. State-of-the-art alignment-based techniques cannot predict function for one-thir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::e33057febcc1ff30a5729a329afb4cf1
https://pubmed.ncbi.nlm.nih.gov/35190689
https://pubmed.ncbi.nlm.nih.gov/35190689
Autor:
Jamie Smith, Drew Bryant, Theo Sanderson, Maxwell L. Bileschi, David Belanger, Brandon Carter, Lucy J. Colwell
In many application domains, neural networks are highly accurate and have been deployed at large scale. However, users often do not have good tools for understanding how these models arrive at their predictions. This has hindered adoption in fields s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de98b8bd73be5f5458c3ca5b94baa670
Autor:
D. Sculley, Brandon Carter, Maxwell L. Bileschi, Mark A. DePristo, Drew Bryant, Theo Sanderson, Lucy J. Colwell, David Belanger
Understanding the relationship between amino acid sequence and protein function is a long-standing problem in molecular biology with far-reaching scientific implications. Despite six decades of progress, state-of-the-art techniques cannot annotate 1/
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f9bdd04bdccfa8c028caa3d2a86186a
https://doi.org/10.1101/626507
https://doi.org/10.1101/626507
Autor:
Yakir A. Reshef, Jasper Snoek, David R. Kelley, Cory Y. McLean, David Belanger, Maxwell L. Bileschi
Publikováno v:
Genome research. 28(5)
Functional genomics approaches to better model genotype-phenotype relationships have important applications toward understanding genomic function and improving human health. In particular, thousands of noncoding loci associated with diseases and phys
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dae672807763560266da77e78f11c83f
https://pubmed.ncbi.nlm.nih.gov/29588361
https://pubmed.ncbi.nlm.nih.gov/29588361