When the first messenger RNA (mRNA) vaccines proved effective during COVID, many experts viewed them as a short-term fix. Five years later, the same technology evolved into one of medicine’s most ...

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The study presents a fundamental advance in antiviral RNA research by adapting SHAPE-Map to chart the secondary structure of the Porcine Epidemic Diarrhoea Virus (PEDV) genome in infected cells and ...

aDepartment of Biomedical Informatics, School of Basic Medical Sciences, State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing 100191, China bDivision of Life ...

Developmental programming involves the accurate conversion of signalling levels and dynamics to transcriptional outputs. The transcriptional relay in the Notch pathway relies on nuclear complexes ...

Pseudoknots are key structure motifs of RNA and pseudoknotted RNAs play important roles in a variety of biological processes. Here, we present KnotFold, an accurate approach to the prediction of RNA ...

† Basic Science Program, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, Maryland 21702, United States ‡ Gene Regulation and Chromosome Biology Laboratory, ...

RNA accessibility is a useful RNA secondary structural feature for predicting RNA-RNA interactions and translation efficiency in prokaryotes. However, conventional accessibility calculation tools, ...

Deep learning, or artificial neural networks, is a type of machine learning algorithm that can decipher underlying relationships from large volumes of data and has been successfully applied to solve ...

Researchers have demonstrated a new approach to joining -- and reconfiguring -- modular DNA building units, by snapping together complementary shapes instead of zipping together strings of base pairs.

A pseudoknot forms in an RNA when nucleotides in a loop pair with a region outside the helices that close the loop. Pseudoknots occur relatively rarely in RNA but are highly overrepresented in ...

Dynamic programming algorithms are a good place to start understanding what's really going on inside computational biology software. The heart of many well-known programs is a dynamic programming ...