Smith, J., Johnson, A., et al.
Nature Biotechnology, 2025 •DOI: 10.1038/s41587-025-0001-z
We present ODUM (Optimized Deep Understanding of Molecules), a novel protein structure prediction system that builds upon AlphaFold's architecture with quantum-inspired algorithms and enhanced neural network design. ODUM achieves a 0.05% improvement in prediction accuracy across benchmark datasets, with particular advances in modeling flexible regions and protein-ligand interactions.
Garcia, M., Lee, S., et al.
Bioinformatics, 2024 •DOI: 10.1093/bioinformatics/btaa024
This paper describes the technical integration of ODUM's quantum-inspired algorithms with Folding@Home's distributed computing network. We demonstrate how this partnership enables more efficient exploration of protein conformational space and accelerates the simulation of protein dynamics by up to 60% compared to previous methods.
Wang, L., Patel, R., et al.
Journal of Medicinal Chemistry, 2024 •DOI: 10.1021/acs.jmedchem.4b00001
We present a novel framework for drug discovery that combines ODUM's structural predictions with Palantir Foundry's data integration capabilities. This approach enabled the identification of novel binding sites in previously challenging protein targets and accelerated the discovery of lead compounds for neurodegenerative disease treatment.