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Kieran Didi

Showing results (1-10 of 11) with videos related to

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Computational and Structural Biotechnology Journal|November 17, 2025
Predicting PROTAC off-target effects via warhead involvement levels in drug-target interactions using graph attention neural networksYutong Hu, Kieran Didi, Adam P Cribbs, et al.
Frontiers in Bioengineering and Biotechnology|July 29, 2024
Synsor: a tool for alignment-free detection of engineered DNA sequencesAidan P Tay, Kieran Didi, Anuradha Wickramarachchi, et al.
Nature Methods|September 19, 2025
GPU-accelerated homology search with MMseqs2Felix Kallenborn, Alejandro Chacon, Christian Hundt, et al.
Arxiv|July 1, 2024
RNA-FrameFlow: Flow Matching for de novo 3D RNA Backbone DesignRishabh Anand, Chaitanya K Joshi, Alex Morehead, et al.
Arxiv|July 1, 2024
Evaluating Representation Learning on the Protein Structure UniverseArian R Jamasb, Alex Morehead, Chaitanya K Joshi, et al.
Nature Computational Science|December 9, 2024
Structure-based drug design with equivariant diffusion modelsArne Schneuing, Charles Harris, Yuanqi Du, et al.
Nature Computational Science|May 10, 2024
MISATO: machine learning dataset of protein-ligand complexes for structure-based drug discoveryTill Siebenmorgen, Filipe Menezes, Sabrina Benassou, et al.
Patterns (New York, N.Y.)|April 20, 2026
Organizing across disciplines to tackle shared computational challengesWojtek Treyde, Aleksy Kwiatkowski, Jascha Achterberg, et al.
Nature Communications|December 21, 2022
Biomolecular condensate phase diagrams with a combinatorial microdroplet platformWilliam E Arter, Runzhang Qi, Nadia A Erkamp, et al.
Biorxiv : the Preprint Server for Biology|September 26, 2025
<i>De novo</i> Design of All-atom Biomolecular Interactions with RFdiffusion3Jasper Butcher, Rohith Krishna, Raktim Mitra, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Computational and Structural Biotechnology Journal|November 17, 2025
Predicting PROTAC off-target effects via warhead involvement levels in drug-target interactions using graph attention neural networksYutong Hu, Kieran Didi, Adam P Cribbs, et al.
Frontiers in Bioengineering and Biotechnology|July 29, 2024
Synsor: a tool for alignment-free detection of engineered DNA sequencesAidan P Tay, Kieran Didi, Anuradha Wickramarachchi, et al.
Nature Methods|September 19, 2025
GPU-accelerated homology search with MMseqs2Felix Kallenborn, Alejandro Chacon, Christian Hundt, et al.
Arxiv|July 1, 2024
RNA-FrameFlow: Flow Matching for de novo 3D RNA Backbone DesignRishabh Anand, Chaitanya K Joshi, Alex Morehead, et al.
Arxiv|July 1, 2024
Evaluating Representation Learning on the Protein Structure UniverseArian R Jamasb, Alex Morehead, Chaitanya K Joshi, et al.
Nature Computational Science|December 9, 2024
Structure-based drug design with equivariant diffusion modelsArne Schneuing, Charles Harris, Yuanqi Du, et al.
Nature Computational Science|May 10, 2024
MISATO: machine learning dataset of protein-ligand complexes for structure-based drug discoveryTill Siebenmorgen, Filipe Menezes, Sabrina Benassou, et al.
Patterns (New York, N.Y.)|April 20, 2026
Organizing across disciplines to tackle shared computational challengesWojtek Treyde, Aleksy Kwiatkowski, Jascha Achterberg, et al.
Nature Communications|December 21, 2022
Biomolecular condensate phase diagrams with a combinatorial microdroplet platformWilliam E Arter, Runzhang Qi, Nadia A Erkamp, et al.
Biorxiv : the Preprint Server for Biology|September 26, 2025
<i>De novo</i> Design of All-atom Biomolecular Interactions with RFdiffusion3Jasper Butcher, Rohith Krishna, Raktim Mitra, et al.
Pageof 2