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The Data-Driven Future of Drug Development

DrugBank

Data science has emerged as an innovative tool in the biopharmaceutical industry, leveraging the power of machine learning and artificial intelligence to drive innovation and efficiency across the entire drug development lifecycle. This was seen in the case of the BRAF V600E mutation test for melanoma patients receiving vemurafenib.

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Drug Repurposing: A New Life for Old Drugs

DrugBank

Additionally, integrating diverse data types is a high demand task , and obtaining generic active ingredients can be challenging, especially if the drug is no longer commercially available. As traditional drug development faces challenges, drug repurposing presents an exciting opportunity to answer unmet medical needs.

Drugs 71
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Target-directed cancer: protein-ligand interactions  

Drug Target Review

For example, in the screening stage of a project we are trying to find initial starting points for optimisation by our medicinal and computational chemistry colleagues. In 2019 he became Reader in Structural Biology and Cancer Drug Discovery.

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Accelerated Computing Holds the Key to Democratized Drug Discovery

Nvidia Developer: Drug Discovery

These advances, driven by developments in highly parallelizable GPUs and GPU-enabled algorithms, are bringing new possibilities to computational chemistry and structural biology for the development of novel medicines.

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