A multi-disciplinary team-based classroom exercise for small molecule drug discovery

Dataset

Description

Industrial drug discovery teams encompass scientists from multiple specialities and require participants to communicate effectively across disciplinary boundaries. In this resource we present an undergraduate or graduate classroom simulation of this environment. Over a series of five workshops, student teams of mixed scientific backgrounds perform five iterations of the chemistry cycle of small molecule drug discovery. Students analyze physicochemical, structural and (fictional) assay data, and use these to design new compounds for testing. Simulated assay results are returned to students who use the information in the design of subsequent compounds. After workshop 5, each team submits a single lead compound, supported by a potential synthetic route, a portfolio of assay data and logical scientific decision-making. Our exercise provides students with opportunities for hands-on student-responsive data handing, team-building, and technical knowledge acquisition – all within an industrially relevant scientific scenario.
Date made available25 Jul 2023
PublisherNational Teaching Repository

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