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 ...

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 ...

You are free to share (copy and redistribute) this article in any medium or format and to adapt (remix, transform, and build upon) the material for any purpose, even commercially within the parameters ...

Coronary atherosclerotic plaques susceptible to acute coronary syndrome have traditionally been characterized by their surrounding cellular architecture. However, with the advent of intravascular ...

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 ...

Machine learning (ML) and in particular deep learning techniques have gained popularity for predicting structures from biopolymer sequences. An interesting case is the prediction of RNA secondary ...

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 ...

Department of Chemistry and Center for Photochemical Sciences, Bowling Green State University, Bowling Green, Ohio 43403, and Department of Chemistry and Center for Biomolecular Sciences, Bowling ...

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 ...