Biomolecular Adsorption Database (BAD) is a freely available online database with experimental protein adsorption data collected from the literature.
The database can be used for the selection of materials for microfluidic device fabrication and for the selection of optimum operating conditions of lab-on-a-chip devices. The amount of protein adsorbed to the surface can be predicted using neural networks-based prediction available at BAD. This prediction has been validated to be below 5% error for the overall data available in the BAD. Other parameters, such as the thickness of protein layers and the surface tension of protein-covered surfaces, can also be estimated.