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pro vyhledávání: '"Francesca Cuturello"'
Protein language models (pLMs) transform their input into a sequence of hidden representations whose geometric behavior changes across layers. Looking at fundamental geometric properties such as the intrinsic dimension and the neighbor composition of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc43a5577e8aff37863387919fde7a56
https://doi.org/10.1101/2022.10.24.513504
https://doi.org/10.1101/2022.10.24.513504
Deep Learning models for protein structure prediction, such as AlphaFold2, leverage Transformer architectures and their attention mechanism to capture structural and functional properties of amino acid sequences. Despite the high accuracy of predicti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a71ad77d69394be28746ff432209297
https://doi.org/10.1101/2022.10.24.513465
https://doi.org/10.1101/2022.10.24.513465
Autor:
Francesca Cuturello, Federico Pozzo, Edith Natalia Villegas Garcia, Francesca Maria Rossi, Massimo Degan, Paola Nanni, Ilaria Cattarossi, Eva Zaina, Paola Varaschin, Alessandra Braida, Michele Berton, Laura Zannier, Filippo Vit, Erika Tissino, Tamara Bittolo, Roberta Laureana, Giovanni D'Arena, Luca Laurenti, Agostino Tafuri, Jacopo Olivieri, Francesco Zaja, Annalisa Chiarenza, Maria Ilaria Del Principe, Riccardo Bomben, Antonella Zucchetto, Stefano Cozzini, Alessio Ansuini, Alberto Cazzaniga, Valter Gattei
Publikováno v:
Blood. 140:4111-4112
Publikováno v:
NAR Gen. Bioinfo. 2:lqaa090 (2020)
NAR Genomics and Bioinformatics
NAR Genomics and Bioinformatics
RNA function crucially depends on its structure. Thermodynamic models currently used for secondary structure prediction rely on computing the partition function of folding ensembles, and can thus estimate minimum free-energy structures and ensemble p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::669643d56a5b189a0865c0cfb15e00c9
http://arxiv.org/abs/2004.00351
http://arxiv.org/abs/2004.00351
Publikováno v:
RNA
Many non-coding RNAs are known to play a role in the cell directly linked to their structure. Structure prediction based on the sole sequence is however a challenging task. On the other hand, thanks to the low cost of sequencing technologies, a very
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c58db8c336204636df152d1964910b68
http://hdl.handle.net/20.500.11767/110422
http://hdl.handle.net/20.500.11767/110422