TIDETRON COMDEL 2
A bio-functional peptide prediction model by Comparing and Optimizing Multiple DEep Learning
Advantages
Independent Data
The combination of unique datasets generated through cutting-edge, high-throughput screening technology.
Advanced Algorithm
The integration of advanced algorithms and deep learning techniques (such as ChatGPT, AlphaFold, and Proteinmpnn) to enhance data analysis and insights.
User-Friendly Interactions
The visual support of the search bars for easy navigation and a user-friendly experience.
Customized Solutions
Tailored designs for bio-functional peptide based on individual preferences and requirements.
Users Guide
- Step 1: Please input the protein sequence of the substance for prediction.
- Step 2: You will then receive the distribution of bio-functional peptide probability.
How to cite
- Zhang Y, Liu LH, Xu B, Zhang Z, Yang M, He Y, Chen J, Zhang Y, Hu Y, Chen X, Sun Z, Ge Q, Wu S, Lei W, Li K, Cui H, Yang G, Zhao X, Wang M, Xia J, Cao Z, Jiang A, Wu YR. Screening antimicrobial peptides and probiotics using multiple deep learning and directed evolution strategies. Acta Pharm Sin B. 2024 Aug;14(8):3476-3492. doi: 10.1016/j.apsb.2024.05.003. Epub 2024 May 10. PMID: 39234615; PMCID: PMC11372459.
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