Results 281 to 290 of about 1,795,685 (335)
A conserved PLPLRT/SD motif of STING mediates the recruitment and activation of TBK1
Nature, 2019 Nucleic acids from bacteria or viruses induce potent immune responses in infected cells1–4. The detection of pathogen-derived nucleic acids is a central strategy by which the host senses infection and initiates protective immune responses5,6.
Pengbiao Xu +2 more
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MCC950 directly targets the NLRP3 ATP-hydrolysis motif for inflammasome inhibition
Nature Chemical Biology, 2019Rebecca C Coll +2 more
exaly +2 more sources
STREME: Accurate and versatile sequence motif discovery
bioRxiv, 2020Sequence motif discovery algorithms can identify novel sequence patterns that perform biological functions in DNA, RNA and protein sequences—for example, the binding site motifs of DNA- and RNA-binding proteins.
T. Bailey
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I-motif DNA structures are formed in the nuclei of human cells
Nature Chemistry, 2018Mahdi Zeraati +2 more
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Cold Spring Harbor Protocols, 2016
Here we provide an introduction to sequence motifs, including prediction of transcription factor-binding sites and general approaches to finding motifs enriched in a set of regulatory sequences.
Hung, Jui-Hung, Weng, Zhiping
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Here we provide an introduction to sequence motifs, including prediction of transcription factor-binding sites and general approaches to finding motifs enriched in a set of regulatory sequences.
Hung, Jui-Hung, Weng, Zhiping
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Plasma DNA end motif profiling as a fragmentomic marker in cancer, pregnancy and transplantation.
Cancer Discovery, 2020Plasma DNA fragmentomics is an emerging area of research covering plasma DNA sizes, end-points, and nucleosome footprints. In the present study, we found a significant increase in the diversity of plasma DNA end motifs in patients with hepatocellular ...
P. Jiang +20 more
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Proceedings of the eighth annual international conference on Computational molecular biology - RECOMB '04, 2004
In this paper, we describe an algorithm for the localization of structured models, i.e. sequences of (simple) motifs and distance constraints. It basically combines standard pattern matching procedures with a constraint satisfaction solver, and it has the ability, not present in similar tools, to search for partial matches. A significant feature of our
MORGANTE, Michele +3 more
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In this paper, we describe an algorithm for the localization of structured models, i.e. sequences of (simple) motifs and distance constraints. It basically combines standard pattern matching procedures with a constraint satisfaction solver, and it has the ability, not present in similar tools, to search for partial matches. A significant feature of our
MORGANTE, Michele +3 more
openaire +5 more sources
acc-Motif: Accelerated Network Motif Detection
IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2014Network motif algorithms have been a topic of research mainly after the 2002-seminal paper from Milo et al. [1], which provided motifs as a way to uncover the basic building blocks of most networks. Motifs have been mainly applied in Bioinformatics, regarding gene regulation networks. Motif detection is based on induced subgraph counting.
Luis A A, Meira +3 more
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Proceedings of the sixth annual international conference on Computational biology, 2002
This paper takes a new view of motif discovery, addressing a common problem in existing motif finders. A motif is treated as a feature of the input promoter regions that leads to a good classifier between these promoters and a set of background promoters. This perspective allows us to adapt existing methods of feature selection, a well-studied topic in
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This paper takes a new view of motif discovery, addressing a common problem in existing motif finders. A motif is treated as a feature of the input promoter regions that leads to a good classifier between these promoters and a set of background promoters. This perspective allows us to adapt existing methods of feature selection, a well-studied topic in
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2013
We discuss the temporal motifs approach that is aimed at detecting significant, intrinsically dynamic, mesoscopic structures and patterns in temporal networks, which cannot be seen in static or aggregated networks. Such patterns involve several nodes and their timed contacts. The approach consists of three phases: (1) identifying temporal subgraphs, (2)
Kovanen, Lauri +4 more
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We discuss the temporal motifs approach that is aimed at detecting significant, intrinsically dynamic, mesoscopic structures and patterns in temporal networks, which cannot be seen in static or aggregated networks. Such patterns involve several nodes and their timed contacts. The approach consists of three phases: (1) identifying temporal subgraphs, (2)
Kovanen, Lauri +4 more
openaire +1 more source