[HTML][HTML] Long non-coding RNA and RNA-binding protein interactions in cancer: experimental and machine learning approaches

H Shaath, R Vishnubalaji, R Elango… - Seminars in cancer …, 2022 - Elsevier
Understanding the complex and specific roles played by non-coding RNAs (ncRNAs), which
comprise the bulk of the genome, is important for understanding virtually every hallmark of …

RNA–protein interactions: an overview

A Re, T Joshi, E Kulberkyte, Q Morris… - RNA sequence, structure …, 2014 - Springer
RNA binding proteins (RBPs) are key players in the regulation of gene expression. In this
chapter we discuss the main protein–RNA recognition modes used by RBPs in order to …

PredictProtein-predicting protein structure and function for 29 years

M Bernhofer, C Dallago, T Karl… - Nucleic acids …, 2021 - academic.oup.com
Abstract Since 1992 PredictProtein (https://predictprotein. org) is a one-stop online resource
for protein sequence analysis with its main site hosted at the Luxembourg Centre for …

[HTML][HTML] LncRNA FAM83A-AS1 facilitates tumor proliferation and the migration via the HIF-1α/glycolysis axis in lung adenocarcinoma

Z Chen, Z Hu, Q Sui, Y Huang, M Zhao… - … journal of biological …, 2022 - ncbi.nlm.nih.gov
Background: Lung adenocarcinoma (LUAD), the major subtype of lung cancer, is among the
leading cause of cancer-related death worldwide. Energy-related metabolic reprogramming …

Predicting RNA-protein interactions using only sequence information

UK Muppirala, VG Honavar, D Dobbs - BMC bioinformatics, 2011 - Springer
Background RNA-protein interactions (RPIs) play important roles in a wide variety of cellular
processes, ranging from transcriptional and post-transcriptional regulation of gene …

A genome-scale Escherichia coli kinetic metabolic model k-ecoli457 satisfying flux data for multiple mutant strains

A Khodayari, CD Maranas - Nature communications, 2016 - nature.com
Kinetic models of metabolism at a genome scale that faithfully recapitulate the effect of
multiple genetic interventions would be transformative in our ability to reliably design novel …

Computational prediction of associations between long non-coding RNAs and proteins

Q Lu, S Ren, M Lu, Y Zhang, D Zhu, X Zhang, T Li - BMC genomics, 2013 - Springer
Background Though most of the transcripts are long non-coding RNAs (lncRNAs), little is
known about their functions. lncRNAs usually function through interactions with proteins …

NPI-GNN: Predicting ncRNA–protein interactions with deep graph neural networks

ZA Shen, T Luo, YK Zhou, H Yu… - Briefings in …, 2021 - academic.oup.com
Noncoding RNAs (ncRNAs) play crucial roles in many biological processes. Experimental
methods for identifying ncRNA–protein interactions (NPIs) are always costly and time …

The 2012 nucleic acids research database issue and the online molecular biology database collection

MY Galperin, XM Fernández-Suarez - Nucleic acids research, 2012 - academic.oup.com
Abstract The 19th annual Database Issue of Nucleic Acids Research features descriptions of
92 new online databases covering various areas of molecular biology and 100 papers …

RPI-Pred: predicting ncRNA-protein interaction using sequence and structural information

V Suresh, L Liu, D Adjeroh, X Zhou - Nucleic acids research, 2015 - academic.oup.com
RNA-protein complexes are essential in mediating important fundamental cellular
processes, such as transport and localization. In particular, ncRNA-protein interactions play …