Peptide Resources

BChemRF-CPPred is a machine learning-based framework for cell-penetrating peptide prediction, using artificial neural network, support vector machine, and Gaussian process classifier with structure- and sequence-based descriptors from PDB and FASTA.

BertAIP is a Transformer-based bidirectional encoder representation (BERT) tool for predicting anti-inflammatory peptides (AIPs), enabling AIP identification directly from amino acid sequences without additional information. The model extracts protein sequence features via BERT and employs a fully connected feed-forward network for classification, constructed and evaluated using AIP datasets reconstructed from the latest Immune Epitope Database.

BioDADPep is a bioinformatics database designed for anti-diabetic peptides, collecting peptide sequences and related information through manual literature 检索 and integration of curated data from 12 databases (THPdb, ADP3, LAMP, etc.). Supported by RDBMS, it features a Google-like web GUI search function and cross-references for anti-diabetic peptides, aiding the design of therapeutic peptides to avoid side effects of existing drugs and providing data support for diabetes drug development.

Focused on peptides and amino acids influencing food taste, this database compiles data from literature sensory studies, structured similarly to BIOPEP. It includes sequences (single-letter code), taste characteristics (sweetness, umami), chemical structures (SMILES/InChI), biological activities (protease inhibition), and cross-database IDs. Tools support sensory peptide localization in proteins, precursor sequence comparison, proteolysis simulation, and product quantification, aiding food flavor mechanism research and peptide development.

BioPepDB is a professional database for food-derived bioactive peptides, containing over 4,000 active peptide entries. It integrates sequence, function, source, commercial product information, and references, providing modules for novel peptide prediction and hydrolysis simulation to support functional research on different bioactive peptides.