SPADE

With the increasingly serious antibiotic resistance, global public health is facing unprecedented challenges. The long research and development cycle, high cost and rapid accumulation of drug resistance of traditional antibiotics have made the search for new antibacterial methods a research focus in the field of biomedicine. Antimicrobial Peptides (AMPs), as a type of natural or synthetic peptide molecules with broad-spectrum antibacterial, antiviral and anti-tumor activities, have received extensive attention due to their advantages such as structural diversity, unique mechanism of action and low drug resistance, and are regarded as powerful weapons against "superbugs".

However, the current development of antimicrobial peptide research is confronted with a series of bottleneck problems at the data level: There are numerous related databases but they are isolated from each other, such as LAMP, APD3, DRAMP, DBAASP, etc., and there exist problems such as inconsistent data formats, inconsistent field naming, complex nesting of some fields, information redundancy or even absence.