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Drug Discovery through Predictive Analytics11-50 Employees
  • B2B
  • Growth Stage
    Expanding market presence
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Cyclica careers

Drug Discovery through Predictive Analytics
Our cloud-based Ligand Express™ platform uncovers the polypharmacological profiles of small molecules to provide insight into target identification, mechanism of drug action, lead prioritization, the elucidation of adverse effects, and drug repurposing. We are extending the capabilities of Ligand Express™ to include structural pharmacogenomics by layering annotated genetic data on top of protein structure in order to help investigate the effect of genetic variation on drug action. These capabilities have also been augmented by the addition of ADMET Prediction tool, an adaptive AI modelling methodology that outperforms traditional classifiers to generate QSAR models, thereby enabling a better understanding of the relationship between drug structure and function.

For more information, please visit cyclicarx.com or contact us directly at [email protected].
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Natasha Puri
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Marketing & External Affairs Strategist at Cyclica
Stephen MacKinnon
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James Crompton
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MSci Physics graduate, experience with Python, Matlab and LaTex, diverse work experience
Valuation

$0

Funded over

3 rounds

Latest round

Series Grant (Nov 2022)

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