Email this article Computational Methods and Artificial Intelligence in the Discovery and Development of Therapeutic Peptides and Beyond
- Authors: Huang J.1
-
Affiliations:
- School of Life Science and Technology,, University of Electronic Science and Technology of China and School of Healthcare Technology Chengdu Neusoft University,
- Issue: Vol 31, No 26 (2024)
- Pages: 4057-4057
- Section: Anti-Infectives and Infectious Diseases
- URL: https://jdigitaldiagnostics.com/0929-8673/article/view/644925
- DOI: https://doi.org/10.2174/092986733126240531153954
- ID: 644925
Cite item
Full Text
About the authors
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
References
- 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
- 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
- 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
- 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
- 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
Supplementary files
