Published January 16, 2024
| Version v1
Dataset
Open
Discovery of Highly Active Kynureninases for Cancer Immunotherapy through Protein Language Model
Authors/Creators
- 1. Department of Chemistry, Seoul National University, Seoul 08826, Republic of Korea
- 2. Galux Inc, Gwanak-gu, Seoul 08738, Republic of Korea
- 3. School of Biological Sciences, Seoul National University, Seoul, 08826, Republic of Korea
- 4. Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, Seoul 08826, Republic of Korea
- 5. School of Pharmacy, Seoul National University, Seoul 08826, Republic of Korea
- 6. Arontier Co., Seoul 06735, Republic of Korea
- 7. Artificial Intelligence Institute, Seoul National University, Seoul, 08826, Republic of Korea
- 8. Institute of Molecular Biology and Genetics, Seoul National University, Seoul, 08826, Republic of Korea
- 9. Department of Biomedical Sciences, University of Ulsan College of Medicine, Asan Medical Center, Seoul 05505, Republic of Korea
Description
File Description
- Fig2_raw_data.xlsx: An Excel file containing raw data for Fig2.
- training_seqs.fasta: A fasta file used to train regression models. The number next to the accession is kcat/Km.
- nonredundant_target_sequences.fasta: A fasta file containing hits from MMseqs2 homology search of Pf-K protein against BFD and Metaclust2. The number next to the accession indicates the E-value.
- Top50_ranked_target_sequences.xlsx: An Excel file containing top50 sequences among hits from homology search, ranked by our protein language model based normalized random forest predictor.
Files
README.md
Files
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