Computational methods for ubiquitination site prediction using physicochemical properties of protein sequences
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
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1471-2105
- Extent
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Online-Ressource
- Language
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Englisch
- Notes
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online resource.
- Bibliographic citation
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Computational methods for ubiquitination site prediction using physicochemical properties of protein sequences ; volume:17 ; number:1 ; day:3 ; month:3 ; year:2016 ; pages:1-12 ; date:12.2016
BMC bioinformatics ; 17, Heft 1 (3.3.2016), 1-12, 12.2016
- Creator
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Cai, Binghuang
- Contributor
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Jiang, Xia
SpringerLink (Online service)
- DOI
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10.1186/s12859-016-0959-z
- URN
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urn:nbn:de:1111-2016031111788
- Rights
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Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:26 AM CEST
Data provider
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Associated
- Cai, Binghuang
- Jiang, Xia
- SpringerLink (Online service)
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Machine learning-based approaches for ubiquitination site prediction in human proteins
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The role of site-specific ubiquitination of the influenza A virus polymerase
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Large-scale prediction of protein ubiquitination sites using a multimodal deep architecture
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Polynomial sequences : basic methods, special classes, and computational applications
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ReRep: Computational detection of repetitive sequences in genome survey sequences (GSS)
Machine learning-based approaches for ubiquitination site prediction in human proteins
Pharmacokinetic optimization in drug research : biological, physicochemical, and computational strategies
Probabilistic Methods for Computational Annotation of Genomic Sequences
The role of site-specific ubiquitination of the influenza A virus polymerase
Site‐Specific Ubiquitination of Tau Amyloids Promoted by the E3 Ligase CHIP
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Parkin regulates NF-κB by mediating site-specific ubiquitination of RIPK1
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