Structure-based machine-guided mapping of amyloid sequence space reveals uncharted sequence clusters with higher solubilities
An increasing number of amyloid structures are determined. Here, the authors present the structure-based amyloid core sequence prediction method Cordax that is based on machine learning and allows the detection of aggregation-prone regions with higher solubility, disorder and surface exposure, and f...
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Nature Portfolio
2020
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oai:doaj.org-article:2a64a32adfa14ef9a2a2d237d6f0b10b2021-12-02T16:31:47ZStructure-based machine-guided mapping of amyloid sequence space reveals uncharted sequence clusters with higher solubilities10.1038/s41467-020-17207-32041-1723https://doaj.org/article/2a64a32adfa14ef9a2a2d237d6f0b10b2020-07-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-17207-3https://doaj.org/toc/2041-1723An increasing number of amyloid structures are determined. Here, the authors present the structure-based amyloid core sequence prediction method Cordax that is based on machine learning and allows the detection of aggregation-prone regions with higher solubility, disorder and surface exposure, and furthermore predicts the structural topology, orientation and overall architecture of the resulting putative fibril core.Nikolaos LourosGabriele OrlandoMatthias De VleeschouwerFrederic RousseauJoost SchymkowitzNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-13 (2020) |
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Science Q Nikolaos Louros Gabriele Orlando Matthias De Vleeschouwer Frederic Rousseau Joost Schymkowitz Structure-based machine-guided mapping of amyloid sequence space reveals uncharted sequence clusters with higher solubilities |
description |
An increasing number of amyloid structures are determined. Here, the authors present the structure-based amyloid core sequence prediction method Cordax that is based on machine learning and allows the detection of aggregation-prone regions with higher solubility, disorder and surface exposure, and furthermore predicts the structural topology, orientation and overall architecture of the resulting putative fibril core. |
format |
article |
author |
Nikolaos Louros Gabriele Orlando Matthias De Vleeschouwer Frederic Rousseau Joost Schymkowitz |
author_facet |
Nikolaos Louros Gabriele Orlando Matthias De Vleeschouwer Frederic Rousseau Joost Schymkowitz |
author_sort |
Nikolaos Louros |
title |
Structure-based machine-guided mapping of amyloid sequence space reveals uncharted sequence clusters with higher solubilities |
title_short |
Structure-based machine-guided mapping of amyloid sequence space reveals uncharted sequence clusters with higher solubilities |
title_full |
Structure-based machine-guided mapping of amyloid sequence space reveals uncharted sequence clusters with higher solubilities |
title_fullStr |
Structure-based machine-guided mapping of amyloid sequence space reveals uncharted sequence clusters with higher solubilities |
title_full_unstemmed |
Structure-based machine-guided mapping of amyloid sequence space reveals uncharted sequence clusters with higher solubilities |
title_sort |
structure-based machine-guided mapping of amyloid sequence space reveals uncharted sequence clusters with higher solubilities |
publisher |
Nature Portfolio |
publishDate |
2020 |
url |
https://doaj.org/article/2a64a32adfa14ef9a2a2d237d6f0b10b |
work_keys_str_mv |
AT nikolaoslouros structurebasedmachineguidedmappingofamyloidsequencespacerevealsunchartedsequenceclusterswithhighersolubilities AT gabrieleorlando structurebasedmachineguidedmappingofamyloidsequencespacerevealsunchartedsequenceclusterswithhighersolubilities AT matthiasdevleeschouwer structurebasedmachineguidedmappingofamyloidsequencespacerevealsunchartedsequenceclusterswithhighersolubilities AT fredericrousseau structurebasedmachineguidedmappingofamyloidsequencespacerevealsunchartedsequenceclusterswithhighersolubilities AT joostschymkowitz structurebasedmachineguidedmappingofamyloidsequencespacerevealsunchartedsequenceclusterswithhighersolubilities |
_version_ |
1718383860116357120 |