13 citations · 31 across the 8 of their papers we have counts for
4 papers · 1 filter
Machine learning for RNA-targeting drug design
Wissam Karroucha, Carlos Oliver, Veronique Stoven +1
Targeting RNA with small molecules offers significant therapeutic potential. Machine learning could substantially accelerate preclinical drug discovery, from hit identification to…
BioBlobs: Unsupervised Discovery of Functional Substructures for Protein Function Prediction
Xin Wang, Kaiwen Shi, Carlos Oliver
Protein function is driven by cohesive substructures, such as catalytic triads, binding pockets, and structural motifs, that occupy only a small fraction of a protein's residues. Y…
A Comprehensive Benchmark for RNA 3D Structure-Function Modeling
Luis Wyss, Vincent Mallet, Wissam Karroucha +2
The relationship between RNA structure and function has recently attracted interest within the deep learning community, a trend expected to intensify as nucleic acid structure mode…
3D-based RNA function prediction tools in rnaglib
Carlos Oliver, Vincent Mallet, Jérôme Waldispühl
Understanding the connection between complex structural features of RNA and biological function is a fundamental challenge in evolutionary studies and in RNA design. However, build…