ADAM is a comprehensive antimicrobial peptide (AMP) database, containing 7,811 unique sequences and 759 structures. It provides researchers a rapid AMP search tool and allows them to browse through AMP sequence-structure relationships. For detailed information about ADAM, please refer to the HELP page.

AMP Prediction Tools:


      ADAM provides two computational tools built to predict whether the target peptides/proteins are antimicrobial. To make prediciton, users can upload the protein sequences with FASTA format to ADAM.
Support Vector Machines are used to recognize the AMP patterns using amino acid composition.

Profile hidden Markov models are used to search the AMP homologs.