This project aims to develop robust computational methods and a user-friendly software to efficiently identify new bioactive small molecules from synthetic libraries using affinity selection mass spectrometry, significantly reducing the time and cost associated with drug discovery.
This project aims to develop a more efficient and powerful backend for our SaaS solutions, capable of processing millions of requests daily to enable the automated analysis of small molecules. The backend will ensure fair scheduling between requests from different users, highly efficient distribution of requests, robust logging and minimal idle time to conserve energy. This will further strengthen our position as an innovative software provider in mass spectrometry analysis.
