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Systematic Identification of Novel Protein Domain Families Associated with Nuclear Functions

Open access
Doerks, Tobias, Copley, Richard R., Schultz, Jörg, Ponting, Chris P., Bork, Peer·2002·Genome Research

Abstract

A systematic computational analysis of protein sequences containing known nuclear domains led to the identification of 28 novel domain families. This represents a 26% increase in the starting set of 107 known nuclear domain families used for the analysis. Most of the novel domains are present in all major eukaryotic lineages, but 3 are species specific. For about 500 of the 1200 proteins that contain these new domains, nuclear localization could be inferred, and for 700, additional features could be predicted. For example, we identified a new domain, likely to have a role downstream of the unfolded protein response; a nematode-specific signalling domain; and a widespread domain, likely to be a noncatalytic homolog of ubiquitin-conjugating enzymes.

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Crossref · 10.1101/gr.203201

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Metadata

Authors
Doerks, T., Copley, R. R., Schultz, J., Ponting, C. P., & Bork, P.
Venue
Genome Research
Published
2002-01-01
Volume
12
Issue
1
Pages
47-56
ISSN
  • 1088-9051 (ISSN-L)
  • 1549-5469
OpenAlex
W1963842907
Cited by
597
References
3
Type
posted content
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Systematic Identification of Novel Protein Domain Families Associated with Nuclear Functions. https://app.cochat.ai/papers/10.1101/gr.203201
The paper
Doerks, T., Copley, R. R., Schultz, J., Ponting, C. P., & Bork, P. (2002). Systematic Identification of Novel Protein Domain Families Associated with Nuclear Functions. Genome Research. https://doi.org/10.1101/gr.203201

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.