Machine Learning in RNA Structure Prediction: Advances and Challenges
S Zhang, J Li, SJ Chen - Biophysical Journal, 2024 - cell.com
RNA molecules play a crucial role in various biological processes, with their functionality
closely tied to their structures. The remarkable advancements in machine learning …
closely tied to their structures. The remarkable advancements in machine learning …
[HTML][HTML] ABC2A: A Straightforward and Fast Method for the Accurate Backmapping of RNA Coarse-Grained Models to All-Atom Structures
RNAs play crucial roles in various essential biological functions, including catalysis and
gene regulation. Despite the widespread use of coarse-grained (CG) models/simulations to …
gene regulation. Despite the widespread use of coarse-grained (CG) models/simulations to …
[HTML][HTML] lociPARSE: a locality-aware invariant point attention model for scoring RNA 3D structures
S Tarafder, D Bhattacharya - bioRxiv, 2023 - ncbi.nlm.nih.gov
A scoring function that can reliably assess the accuracy of a 3D RNA structural model in the
absence of experimental structure is not only important for model evaluation and selection …
absence of experimental structure is not only important for model evaluation and selection …
RNA-MobiSeq: Deep mutational scanning and mobility-based selection for RNA structure inference
Tertiary structures of RNAs are increasingly found to be essential for their functions and yet
are notoriously challenging to be determined by experimental techniques or predicted by …
are notoriously challenging to be determined by experimental techniques or predicted by …
On the completeness of existing RNA fragment structures
Success in protein structure prediction by the deep learning method AlphaFold 2 naturally
gives arise the question if we can do the same for RNA structure prediction. One reason for …
gives arise the question if we can do the same for RNA structure prediction. One reason for …
AI-powered microscopy image analysis for parasitology: integrating human expertise
R Feng, S Li, Y Zhang - Trends in Parasitology, 2024 - cell.com
Microscopy image analysis plays a pivotal role in parasitology research. Deep learning (DL),
a subset of artificial intelligence (AI), has garnered significant attention. However, traditional …
a subset of artificial intelligence (AI), has garnered significant attention. However, traditional …