The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Structure-aware machine learning identifies microRNAs operating as Toll-like receptor 7/8 ligands
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In the citing paper
“we used BrainDead, a structure-aware machine-learning algorithm, which predicts small RNAs as potential TLR7/8 activators [32].”
From Neurodegenerative disease-associated microRNAs acting as signaling molecules modulate CNS neuron structure and viability (2025) · cites this paper as [32]
In the citing paper
“Although originally trained with data derived from assays using mouse microglia, BrainDead can predict RNAs acting as ligands of human TLRs [32].”
From Neurodegenerative disease-associated microRNAs acting as signaling molecules modulate CNS neuron structure and viability (2025) · cites this paper as [32]
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Citations
Cites
Cogswell, J. P., Ward, J., Taylor, I. A., Waters, M., Shi, Y., Cannon, B., Kelnar, K., Kemppainen, J., Brown, D., Chen, C., et al. (2008) · Journal of Alzheimer s Disease · doi:10.3233/jad-2008-14103 · Cited by 943
IntaRNA 2.0: enhanced and customizable prediction of RNA–RNA interactions
Mann, M., Wright, P. R., & Backofen, R. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx279 · Cited by 725
Zhang, Z., Ohto, U., Shibata, T., Krayukhina, E., Taoka, M., Yamauchi, Y., Tanji, H., Isobe, T., Uchiyama, S., Miyake, K., et al. (2016) · Immunity · doi:10.1016/j.immuni.2016.09.011 · Cited by 461
MicroRNAs: New Regulators of Toll-Like Receptor Signalling Pathways
He, X., Jing, Z., & Cheng, G. (2014) · BioMed Research International · doi:10.1155/2014/945169 · Cited by 238
Identification of Real MicroRNA Precursors with a Pseudo Structure Status Composition Approach
Liu, B., Fang, L., Liu, F., Wang, X., Chen, J., & Chou, K.-C. (2015) · PLOS ONE · doi:10.1371/journal.pone.0121501 · Cited by 238
Human endogenous retrovirus HERV-K(HML-2) RNA causes neurodegeneration through Toll-like receptors
Dembny, P., Newman, A. G., Singh, M., Hinz, M., Szczepek, M., Krüger, C., Adalbert, R., Dzaye, O., Trimbuch, T., Wallach, T., et al. (2020) · JCI Insight · doi:10.1172/jci.insight.131093 · Cited by 134
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Research works printed but not linked: 36
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Cited by
Sorted by citations
Kumbol, V., Ivanov, A., McGurran, H., Schüler, J., Zhai, Y., Ludwik, K., Hinkelmann, L., Brehm, M., Krüger, C., Küchler, J., et al. (2025) · Cell Communication and Signaling · doi:10.1186/s12964-025-02199-8 · Cited by 8
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Metadata
- Authors
- Raden, M., Wallach, T., Miladi, M., Zhai, Y., Krüger, C., Mossmann, Z. J., Dembny, P., Backofen, R., & Lehnardt, S.
- Affiliations
- Bioinformatics Group, Department of Computer Science, University of Freiburg, Freiburg, Germany
- Institute of Cell Biology and Neurobiology, Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität Zu Berlin, and Berlin Institute of Health, Berlin, Germany
- Venue
- RNA Biology
- Publisher
- Informa UK Limited
- Published
- 2021-07-09
- Volume
- 18
- Issue
- sup1
- Pages
- 268-277
- ISSN
- 1547-6286
- 1555-8584
- PMC
- PMC8677043
- Cited by
- 14
- References
- 6
- Language
- en
- Funders
- Deutsche Forschungsgemeinschaft (BA2168/16-1, BA2168/21-1, SFB-TRR167/B03, CIBSS-EXC-2189-Project ID 390939984, LE2420/2-1, BA2168/3-3)
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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