Sökning: onr:"swepub:oai:gup.ub.gu.se/306410" >
Using graph convolu...
-
Burkholz, R.
(författare)
Using graph convolutional neural networks to learn a representation for glycans
- Artikel/kapitelEngelska2021
Förlag, utgivningsår, omfång ...
Nummerbeteckningar
-
LIBRIS-ID:oai:gup.ub.gu.se/306410
-
https://gup.ub.gu.se/publication/306410URI
-
https://doi.org/10.1016/j.celrep.2021.109251DOI
Kompletterande språkuppgifter
Ingår i deldatabas
Klassifikation
-
Ämneskategori:ref swepub-contenttype
-
Ämneskategori:art swepub-publicationtype
Anmärkningar
-
As the only nonlinear and the most diverse biological sequence, glycans offer substantial challenges for computational biology. These carbohydrates participate in nearly all biological processes—from protein folding to viral cell entry—yet are still not well understood. There are few computational methods to link glycan sequences to functions, and they do not fully leverage all available information about glycans. SweetNet is a graph convolutional neural network that uses graph representation learning to facilitate a computational understanding of glycobiology. SweetNet explicitly incorporates the nonlinear nature of glycans and establishes a framework to map any glycan sequence to a representation. We show that SweetNet outperforms other computational methods in predicting glycan properties on all reported tasks. More importantly, we show that glycan representations, learned by SweetNet, are predictive of organismal phenotypic and environmental properties. Finally, we use glycan-focused machine learning to predict viral glycan binding, which can be used to discover viral receptors. © 2021 The Author(s)
Ämnesord och genrebeteckningar
Biuppslag (personer, institutioner, konferenser, titlar ...)
-
Quackenbush, J.
(författare)
-
Bojar, DanielGothenburg University,Göteborgs universitet,Institutionen för kemi och molekylärbiologi,Institutionen för medicin, avdelningen för molekylär och klinisk medicin,Department of Chemistry and Molecular Biology,Institute of Medicine, Department of Molecular and Clinical Medicine(Swepub:gu)xbojda
(författare)
-
Göteborgs universitetInstitutionen för kemi och molekylärbiologi
(creator_code:org_t)
Sammanhörande titlar
-
Ingår i:Cell Reports: Elsevier BV35:112211-1247
Internetlänk
Hitta via bibliotek
Till lärosätets databas