RNA structure drives interaction with proteins
N Sanchez de Groot, A Armaos… - Nature …, 2019 - nature.com
The combination of high-throughput sequencing and in vivo crosslinking approaches leads
to the progressive uncovering of the complex interdependence between cellular …
to the progressive uncovering of the complex interdependence between cellular …
Predicting RNA–protein binding sites and motifs through combining local and global deep convolutional neural networks
X Pan, HB Shen - Bioinformatics, 2018 - academic.oup.com
Motivation RNA-binding proteins (RBPs) take over 5–10% of the eukaryotic proteome and
play key roles in many biological processes, eg gene regulation. Experimental detection of …
play key roles in many biological processes, eg gene regulation. Experimental detection of …
Structural analysis of SARS-CoV-2 genome and predictions of the human interactome
Specific elements of viral genomes regulate interactions within host cells. Here, we
calculated the secondary structure content of> 2000 coronaviruses and computed> 100 000 …
calculated the secondary structure content of> 2000 coronaviruses and computed> 100 000 …
[HTML][HTML] Exploring the landscape of tools and resources for the analysis of long non-coding RNAs
In recent years, research on long non-coding RNAs (lncRNAs) has gained considerable
attention due to the increasing number of newly identified transcripts. Several characteristics …
attention due to the increasing number of newly identified transcripts. Several characteristics …
Computational tools to study RNA-protein complexes
S Bheemireddy, S Sandhya, N Srinivasan… - Frontiers in molecular …, 2022 - frontiersin.org
RNA is the key player in many cellular processes such as signal transduction, replication,
transport, cell division, transcription, and translation. These diverse functions are …
transport, cell division, transcription, and translation. These diverse functions are …
RBPsuite: RNA-protein binding sites prediction suite based on deep learning
Background RNA-binding proteins (RBPs) play crucial roles in various biological processes.
Deep learning-based methods have been demonstrated powerful on predicting RBP sites …
Deep learning-based methods have been demonstrated powerful on predicting RBP sites …
[HTML][HTML] Genistein represses HOTAIR/chromatin remodeling pathways to suppress kidney cancer
M Imai-Sumida, P Dasgupta, P Kulkarni… - Cellular physiology …, 2020 - ncbi.nlm.nih.gov
Results: Genistein reduced cell proliferation and migration of human renal cell carcinoma
cell lines. ChIP assays indicated that genistein reduces recruitment of the PRC2 to the ZO-1 …
cell lines. ChIP assays indicated that genistein reduces recruitment of the PRC2 to the ZO-1 …
An integrative study of protein-RNA condensates identifies scaffolding RNAs and reveals players in fragile X-associated tremor/ataxia syndrome
F Cid-Samper, M Gelabert-Baldrich, B Lang… - Cell reports, 2018 - cell.com
Recent evidence indicates that specific RNAs promote the formation of ribonucleoprotein
condensates by acting as scaffolds for RNA-binding proteins (RBPs). We systematically …
condensates by acting as scaffolds for RNA-binding proteins (RBPs). We systematically …
The moonlighting RNA-binding activity of cytosolic serine hydroxymethyltransferase contributes to control compartmentalization of serine metabolism
Enzymes of intermediary metabolism are often reported to have moonlighting functions as
RNA-binding proteins and have regulatory roles beyond their primary activities. Human …
RNA-binding proteins and have regulatory roles beyond their primary activities. Human …
EDCNN: identification of genome-wide RNA-binding proteins using evolutionary deep convolutional neural network
Motivation RNA-binding proteins (RBPs) are a group of proteins associated with RNA
regulation and metabolism, and play an essential role in mediating the maturation, transport …
regulation and metabolism, and play an essential role in mediating the maturation, transport …