RNA 3D structure prediction is a long-standing challenge. Inspired by the recent
breakthrough in protein structure prediction, we developed trRosettaRNA, an automated …

Since the 1980s, dozens of computational methods have addressed the problem of
predicting RNA secondary structure. Among them are those that follow standard optimization …

Predicting the 3D structure of RNA is a significant challenge despite ongoing advancements
in the field. Although AlphaFold has successfully addressed this problem for proteins, RNA …

Accurate RNA structure models are crucial for designing small molecule ligands that
modulate their functions. This study assesses six standalone RNA 3D structure prediction …

Motivation Predicting the 3D structure of RNA is an ongoing challenge that has yet to be
completely addressed despite continuous advancements. RNA 3D structures rely on …

Abstract ModelCIF (github. com/ihmwg/ModelCIF) is a data information framework
developed for and by computational structural biologists to enable delivery of Findable …

In CASP15, we used an integrated hierarchical and hybrid approach to predict RNA
structures. The approach involves three steps. First, with the use of physics‐based methods …

Knots are very common in polymers, including DNA and protein molecules. Yet, no genuine
knot has been identified in natural RNA molecules to date. Upon re-examining …

DNA carries the genetic information required for the synthesis of RNA and proteins and
plays an important role in many processes of biological development. Understanding the …

Messenger RNA (mRNA) vaccines have emerged as a powerful tool against communicable
diseases and cancers, as demonstrated by their huge success during the coronavirus …