Peptide Resources

ADP-Fuse is a two-layer prediction framework for antidiabetic peptide (ADPs) identification and typing, enabling precise classification via multiview information fusion and stacking ensemble learning. The model innovatively constructs a two-tier prediction system: the first layer discriminates ADPs from non-ADPs, and the second layer further classifies ADPs into type 1 diabetes (T1DM) and type 2 diabetes (T2DM) targeting peptides.

AHPP is a machine learning and structural bioinformatics-based web server for predicting food-derived antihypertensive peptides with ACE-I inhibitory activity, enabling in silico gastrointestinal digestion from FASTA/UniProt ID input and providing structural/functional analysis.

AHTPDB is a manually curated database of experimentally validated antihypertensive peptides, collecting data from research articles and peptide repositories. Derived from 35 major sources (milk, egg, fish, pork, chicken, soybean, etc.), most peptides belong to angiotensin-I converting enzyme (ACE) inhibitory peptide family. The current release contains 5,978 peptide entries (1,694 unique peptides), each providing detailed information on sequence, inhibitory concentration (IC50), toxicity/bitterness value, source, length, molecular mass, and purification methods, with predicted tertiary and secondary structures. Equipped with a user-friendly web interface and analysis tools (sequence retrieval, structure prediction), it supports antihypertensive peptide research and functional food/drug development.

AHTpin is an in silico platform for predicting, screening, and designing antihypertensive peptides, using SVM regression and classification models with chemical descriptors and amino acid composition, categorized by peptide length.

AI4AMP is an antimicrobial peptide prediction platform integrating protein-encoding methods with deep learning, trained on up-to-date datasets and unbiased negatives, achieving 90% precision in external testing. It offers a user-friendly web service for antimicrobial potential prediction and proteome screening.