Researchers from the Swiss Institute of Bioinformatics, Lausanne in Switzerland, used a geometric deep-learning tool that generates "fingerprints" of protein surfaces to describe geometric and chemical features critical to protein–protein interactions. In their paper, "De novo design of protein interactions with learned surface fingerprints," published in Nature, the team report that their hypothesized "fingerprints" led to the capture of essential aspects of molecular recognition and novel protein interactions. A Research Briefing that summarizes the team's results is published in the same journal issue.