GOT-IT (Guidelines on Target Assessment for Innovative Therapeutics) - Target Assessment Resource Centre - Tools

Tools

GOT-IT Tools

Critical Path Generator

The GOT-IT Team is developing a Critical Path Generator tool, which will assist scientist in planning and structuring a target assessment project. The CP Generator will help to arrange important target assessment Blocks into a project-specific path and will provide support in defining Go/NoGo decision criteria. Using a query form, the CP Generator will help identify strengths and weaknesses of a project to invest critical resources in an optimal way.

Educational Tool

The Educational Tool for young scientists informs about important aspects of target assessment. The target assessment process is depicted as a train journey. In the Central Station, information is provided for planning a target assessment project. Being on the Journey, you will be taken through different Train Stations that provide additional information about important core aspects of target assessment. In addition, illustrative examples for potential Roadblocks, Delays and Project Goals are provided.

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GOT-IT Expert Platform

The GOT-IT recommendations consider the complexity of tasks associated with bridging the gap between basic science research findings and the identification of clinically effective products. The guidelines suggest the need for an environment where academic research teams focusing on newly identified drug targets can connect with experienced and qualified expert industry teams in support of successful drug discovery and development. The GOT-IT Expert Platform is designed to facilitate these interactions. Based on an innovative match-making algorithm, the platform helps academic scientists recruit drug discovery experts, receive timely and well-informed advice, and develop a more extended network of partnerships to ultimately increase the exchange between Industry and Academia. A set of onboarding questions ensures that project-specific goals and individual needs are taken into account so that productive collaborations can provide the most relevant and meaningful support for early-phase translational drug discovery programs.

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