White Paper

Revolutionizing Drug Discovery From "Undruggables" To AI

Source: Cytiva
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Drug discovery involves identifying new therapeutic candidates and developing effective treatment strategies. This process is fraught with challenges, high chances of failure, and substantial time and financial investments.

Target identification occurs at the beginning of the drug discovery pipeline, and it is followed by target validation which consists of thorough characterization and testing for "druggability." The identification of therapeutic candidates can be assisted by AI-based tools through high-throughput screenings. Subsequently, compounds are optimized for both safety and efficacy by testing on animals or organoids before advancing to human trials.

The drug discovery process is immensely complex, with significant potential for issues and failure. However, this complexity also presents opportunities for improvement through continual advancements in technology and methodology. This whitepaper explores four current trends in drug discovery: targeting undruggables, fashionable models, AI, and paint-by-cell. Examine how each trend addresses some of the most prominent challenges in drug discovery and the obstacles to their widespread adoption.

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