Figure 1.

The general principle of the PEPTIDE REACToR. The emphasis is put on a high-throughput processing of an arbitrary amount of input datasets (arrows), followed by the preprocessing, encoding, and postprocessing, generating the final output (top). The preprocessing includes sanitizing of the input sequences, the filtering and the tertiary structure approximation (squares). Afterwards, the sequences as well as the accompanied structures are used for the encoding (circles). The postprocessing involves the machine learning and the actual benchmarking including the visual preparation of the analyses (triangles).