Computational Methods and Artificial Intelligence in the Discovery and Development of Therapeutic Peptides and Beyond


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Толық мәтін

Авторлар туралы

Jian Huang

School of Life Science and Technology,, University of Electronic Science and Technology of China and School of Healthcare Technology Chengdu Neusoft University,

Email: info@benthamscience.net

Әдебиет тізімі

  1. Wang, S.; Ye, H.; Shang, S.; Li, Z.; Peng, Y.; Zhou, P. A structure-based data set of protein-peptide affinities and its nonredundant benchmark: potential applications in computational peptidology. Curr. Med. Chem., 2024, 31(26), 4127-4137. doi: 10.2174/0929867331666230908102925 PMID: 37881092
  2. Li, B.; Li, M.; Lu, C.; Wu, Y.; Chen, H.; He, B. Current development of data resources and bioinformatics tools for anticoronavirus peptide. Curr. Med. Chem., 2024, 31(26), 4079-4099. doi: 10.2174/0109298673264218231121104407 PMID: 38265399
  3. Yang, C.; Xu, X.; Xiang, C. Current computational methods for protein-peptide complex structure prediction. Curr. Med. Chem., 2024, 31(26), 4058-4078. doi: 10.2174/0109298673263447230920151524 PMID: 37888817
  4. Zhao, K.; Liang, F.; Xia, Y.; Hou, M.; Zhang, G. Recent advances in protein folding pathway prediction through computational methods. Curr. Med. Chem., 2024, 31(26), 4111-4126. doi: 10.2174/0109298673265249231004193520 PMID: 37828669
  5. Li, W.; Wei, J.; Jiang, Q.; Zhou, Y.; Yan, X.; Xiang, C.; Huang, J. In silico immunogenicity assessment of therapeutic peptides. Curr. Med. Chem., 2024, 31(26), 4100-4110. doi: 10.2174/0109298673264899231206093930 PMID: 38275064

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