]> 2026-04-04T09:34:38+02:00 Protein Language Models for drug discovery 0 en Master Leveraging the sequence-based transformer protein language model for improving potential drug targets identification Chen, J., Gu, Z., Xu, Y., Deng, M., Lai, L. and Pei, J., 2023. QuoteTarget: A sequence‐based transformer protein language model to identify potentially druggable protein targets. Protein Science, 32(2), p.e4555. Chen, L., Fan, Z., Chang, J., Yang, R., Hou, H., Guo, H., Zhang, Y., Yang, T., Zhou, C., Sui, Q. and Chen, Z., 2023. Sequence-based drug design as a concept in computational drug design. Nature Communications, 14(1), p.4217. Chen, D., Liu, J. and Wei, G.W., 2024. Multiscale topology-enabled structure-to-sequence transformer for protein–ligand interaction predictions. Nature Machine Intelligence, 6(7), pp.799-810. Jiang, J., Chen, L., Ke, L., Dou, B., Zhang, C., Feng, H., Zhu, Y., Qiu, H., Zhang, B. and Wei, G., 2024. A review of transformers in drug discovery and beyond. Journal of Pharmaceutical Analysis, p.101081. Open Fall 2024 Protein Language Models for drug discovery 2024-09-25T08:58:10Z 2460578.8737269 Protein Language Models for drug discovery 0 [2,"smw-datavalue-property-restricted-annotation-use","Keywords"] Protein Language Models for drug discovery# ERRd9c33d5ac8a89308063e13c4b212fa7c