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01CollagenHelixLabs /cdsm_benchmarking_data CDSM Collagen Structure Benchmark — Data Structures and scores for a benchmark comparing a deterministic collagen triple-helix builder (CDSM) against four co-folding models — Boltz-2, Chai-1, Protenix and AlphaFold3, the last in both with-MSA (af3_msa) and no-MSA (af3_nomsa) conditions — on 80 experimentally resolved collagen triple helices from the RCSB PDB. Code: https://github.com/bm-howard/cdsm_benchmarking Layout Prefix Contents Size experimental/… See the full description on the dataset page: https://huggingface.co/datasets/CollagenHelixLabs/cdsm_benchmarking_data.tabular10K<n<100K0 likes636 downloads21d agoHugging Face02CollageBio /oligogym OligoGym Datasets A mirror of the 12 curated benchmark datasets shipped with OligoGym (Roche), repackaged as HuggingFace configs for convenient loading. Covers oligonucleotide activity, toxicity, and immunomodulation across ASO, siRNA, and shRNA modalities. This is not a new dataset. Row counts, column sets, and values are identical to the files in OligoGym's oligogym/resources/pkg_dataset/. All credit for curation belongs to the OligoGym authors — please cite them (see… See the full description on the dataset page: https://huggingface.co/datasets/CollageBio/oligogym.tabulartabular-regression100K<n<1M0 likes164 downloads2mo agoHugging Face03lamm-mit /collagen-cdsm_benchmarking_datagated CDSM Collagen Structure Benchmark — Data Structures and scores for a benchmark comparing a deterministic collagen triple-helix builder (CDSM) against four co-folding models — Boltz-2, Chai-1, Protenix and AlphaFold3, the last in both with-MSA (af3_msa) and no-MSA (af3_nomsa) conditions — on 80 experimentally resolved collagen triple helices from the RCSB PDB. Code: https://github.com/bm-howard/cdsm_benchmarking Layout Prefix Contents Size experimental/… See the full description on the dataset page: https://huggingface.co/datasets/lamm-mit/collagen-cdsm_benchmarking_data.tabular10K<n<100K0 likes37 downloads19d agoHugging Face04CollageBio /aso-atlas Citation This dataset is derived from the ASO Atlas resource introduced in Hill et al. (2025). If you use this dataset, please cite: @article{hill2025accurately, title={Accurately modelling RNase H-mediated antisense oligonucleotide efficacy}, author={Hill, Barney and Jaques, Maisie R and Nair, Remya R and Whiffin, Nicola and Wood, Matthew JA and Sanders, Stephan J and Oliver, Peter L and Hill, Alyssa C and Rinaldi, Carlo}, journal={bioRxiv}, pages={2025--10}, year={2025}… See the full description on the dataset page: https://huggingface.co/datasets/CollageBio/aso-atlas.tabular100K<n<1M0 likes13 downloads5mo agoHugging Face

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