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Featured Resources

Part 1_ High-Concurrency Ingestion_ Scale to 1TB_hour and 5,000 Instruments and Beyond
White Paper
High-Concurrency Ingestion: Scale to 1TB/hour and 5,000 Instruments and Beyond
Part 2_ High-Content Screening_ Scale to 5 TB_file and Beyond
White Paper
High-Content Screening: Scale to 5 TB/file and Beyond
Part 3_ High-Throughput Sciences_ Scale to 250.000 Files_Dataset and Beyond
White Paper
High-Throughput Sciences: Scale to 250,000 Files/Dataset and Beyond
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Protein Representation Learning and Geometric Pretraining

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A New State-of-the-Art Model for Molecular Conformer Generation

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Deep Learning for Designing Protein Scaffolds

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Protein Representation Learning with Geometric Pretraining

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Data2Vec: A General Training Algorithm for Self-supervised Learning

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The Protein Folding Problem – is it Solved?

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Blazing-Fast, High-Accuracy Drug-Protein Docking with EquiBind Geometric Deep Learning

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Predicting Transition State Structures with Tensor Field Networks and Transfer Learning

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Independent SE(3) Equivariant Models for Rigid Docking

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