Large ai models in health informatics: Applications, challenges, and the future
Large AI models, or foundation models, are models recently emerging with massive scales
both parameter-wise and data-wise, the magnitudes of which can reach beyond billions …
both parameter-wise and data-wise, the magnitudes of which can reach beyond billions …
Accurate structure prediction of biomolecular interactions with AlphaFold 3
The introduction of AlphaFold 21 has spurred a revolution in modelling the structure of
proteins and their interactions, enabling a huge range of applications in protein modelling …
proteins and their interactions, enabling a huge range of applications in protein modelling …
Recent trends in RNA informatics: a review of machine learning and deep learning for RNA secondary structure prediction and RNA drug discovery
Computational analysis of RNA sequences constitutes a crucial step in the field of RNA
biology. As in other domains of the life sciences, the incorporation of artificial intelligence …
biology. As in other domains of the life sciences, the incorporation of artificial intelligence …
trRosettaRNA: automated prediction of RNA 3D structure with transformer network
RNA 3D structure prediction is a long-standing challenge. Inspired by the recent
breakthrough in protein structure prediction, we developed trRosettaRNA, an automated …
breakthrough in protein structure prediction, we developed trRosettaRNA, an automated …
When will RNA get its AlphaFold moment?
B Schneider, BA Sweeney, A Bateman… - Nucleic Acids …, 2023 - academic.oup.com
The protein structure prediction problem has been solved for many types of proteins by
AlphaFold. Recently, there has been considerable excitement to build off the success of …
AlphaFold. Recently, there has been considerable excitement to build off the success of …
Assessment of three‐dimensional RNA structure prediction in CASP15
The prediction of RNA three‐dimensional structures remains an unsolved problem. Here, we
report assessments of RNA structure predictions in CASP15, the first CASP exercise that …
report assessments of RNA structure predictions in CASP15, the first CASP exercise that …
Integrating end-to-end learning with deep geometrical potentials for ab initio RNA structure prediction
RNAs are fundamental in living cells and perform critical functions determined by their
tertiary architectures. However, accurate modeling of 3D RNA structure remains a …
tertiary architectures. However, accurate modeling of 3D RNA structure remains a …
Towards joint sequence-structure generation of nucleic acid and protein complexes with SE (3)-discrete diffusion
Generative models of macromolecules carry abundant and impactful implications for
industrial and biomedical efforts in protein engineering. However, existing methods are …
industrial and biomedical efforts in protein engineering. However, existing methods are …
State-specific protein–ligand complex structure prediction with a multiscale deep generative model
The binding complexes formed by proteins and small molecule ligands are ubiquitous and
critical to life. Despite recent advancements in protein structure prediction, existing …
critical to life. Despite recent advancements in protein structure prediction, existing …
Predicting RNA structures and functions by artificial intelligence
RNA functions by interacting with its intended targets structurally. However, due to the
dynamic nature of RNA molecules, RNA structures are difficult to determine experimentally …
dynamic nature of RNA molecules, RNA structures are difficult to determine experimentally …