The need for speed: how drug target discovery can drive change in precision medicine

Employee Perspective: Cyclica’s Marketing and Communications Specialist, Rebecca Woelfle

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Employee Spotlight - Rebecca Woelfle

Rebecca Woelfle is Cyclica’s Marketing Communications Specialist, where she is responsible for...

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Demystifying Protein Structure Prediction Models: AlphaFold, RosettaFold, ESMFold and beyond

The purpose of this blog post is to provide an introduction to protein structure prediction models,...

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The Complexity of Data in Machine Learning for Drug Discovery

Machine Learning (ML) pipelines are characterized by their multi-component iterative lifecycle,...

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Recognizing Transformative Potential in the Protein Universe

Last August, I posted an article titled “The Protein Universe:  Structural Biology Has Entered Its...

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Response to Scripps Research Institute Paper on DCAF-1

A vast majority of protein targets in the human proteome have been deemed undruggable given the...

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AI is not the Silver Bullet

As innovators, entrepreneurs, and operators, we have a responsibility to ensure that  our...

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Employee Spotlight - Holly McQuarrie

A small town girl that moved to the big city, who has had numerous jobs/careers; from a CNC...

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Pitfalls in AI Drug Discovery

Artificial Intelligence (AI), or more modestly machine learning, is increasingly being used in many...

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Artificial Intelligence in Drug Discovery

Artificial Intelligence (AI) systems, specifically machine learning (ML) technologies, learn how to...

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