Think Bioscience is developing new medicines for traditionally difficult protein targets, combining synthetic biology with novel discovery methods to identify natural products and rapidly screen new therapeutic candidates. While scaling their proof-of-concept workflows, the company needed to formalize internal R&D SOPs and unify all experiment data, metadata, plasmid libraries, and screening outputs within one centralized, transparent system. Their previous Excel-based approach could not support rigorous SOP enforcement, efficient querying, or the ability to link every data point back to its originating experiment.
Think Bioscience selected L7|ESP to modernize their laboratory and data management processes. L7|ESP centralizes all entities and experimental data, streamlines screening workflows, and supports real-time data capture, tracking, and retrieval. The platform integrates plasmid editing, plasmid libraries with associated metadata, and open-source tools from L7|HUB that improve sequence screening and data mining at scale.
By replacing manual spreadsheets with a single source of truth, Think Bioscience gained organization, efficiency, SOP consistency, improved data integrity, and enhanced collaboration across team members. The platform provides the transparency and scalability required to accelerate internal R&D processes and support the company’s growing discovery programs.
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