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01.12.2025: Electron Density Representations, Language Models for Protein and RNA Design, and Large-Scale Quantum Chemistry Benchmarks
This podcast is brought to you by the Oliver Laboratory at Vanderbilt University.
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0:00 QuantumChem-200K: A Large-Scale Open Organic Molecular Dataset for Quantum-Chemistry Property Screening and Language Model Benchmarking (https://arxiv.org/pdf/2511.21747.pdf)
4:41 BeeRNA: tertiary structure-based RNA inverse folding using Artificial Bee Colony (https://arxiv.org/pdf/2511.21781.pdf)
9:48 Beyond Atoms: Evaluating Electron Density Representation for 3D Molecular Learning (https://arxiv.org/pdf/2511.21900.pdf)
14:45 DeepPNI: Language- and graph-based model for mutation-driven protein-nucleic acid energetics (https://arxiv.org/pdf/2511.22239.pdf)
19:49 Swarms of Large Language Model Agents for Protein Sequence Design with Experimental Validation (https://arxiv.org/pdf/2511.22311.pdf)
25:02 FoldSAE: Learning to Steer Protein Folding Through Sparse Representations (https://arxiv.org/pdf/2511.22519.pdf)
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Source code: https://github.com/OliverLaboratory/arxivreader
Contact: oliverlaboratory.com
Source code: https://github.com/OliverLaboratory/arxivreader
View all episodes
By This podcast is brought to you by the Oliver Laboratory at Vanderbilt University.
----------------------------------------
0:00 QuantumChem-200K: A Large-Scale Open Organic Molecular Dataset for Quantum-Chemistry Property Screening and Language Model Benchmarking (https://arxiv.org/pdf/2511.21747.pdf)
4:41 BeeRNA: tertiary structure-based RNA inverse folding using Artificial Bee Colony (https://arxiv.org/pdf/2511.21781.pdf)
9:48 Beyond Atoms: Evaluating Electron Density Representation for 3D Molecular Learning (https://arxiv.org/pdf/2511.21900.pdf)
14:45 DeepPNI: Language- and graph-based model for mutation-driven protein-nucleic acid energetics (https://arxiv.org/pdf/2511.22239.pdf)
19:49 Swarms of Large Language Model Agents for Protein Sequence Design with Experimental Validation (https://arxiv.org/pdf/2511.22311.pdf)
25:02 FoldSAE: Learning to Steer Protein Folding Through Sparse Representations (https://arxiv.org/pdf/2511.22519.pdf)
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Source code: https://github.com/OliverLaboratory/arxivreader
Contact: oliverlaboratory.com
Source code: https://github.com/OliverLaboratory/arxivreader