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Big data – charting a new path to drug discovery and development

Drug Discovery World

Drug discovery and development timelines can span 10-15 years or more from initial discovery to market approval and typically require the analysis of massive amounts of data. One system that has been especially useful in generating relevant and accurate biological data is the patient- derived xenograft (PDX) model for cancer studies.

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The challenges and trends of cell & gene therapies 

Drug Discovery World

DDW Editor Reece Armstrong looks at the cell and gene therapy landscape, examining the challenges facing developers and the trends we can expect to see throughout the year. . There’s no doubt that cell and gene therapies present some of the most exciting opportunities for emerging drugs. million price point per dose.

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How digital innovation is helping therapeutics to get to market faster

Drug Discovery World

Sanofi has stated that it intends to become the first pharma company “powered by AI at scale”, and as part of this ambition, agreed a collaboration with BioMap to co-develop advanced AI models and protein Large Language Models that that it hopes will enable biologics design and multiparametric optimisation 2.

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Can artificial intelligence help craft new medicines?

Drug Discovery World

The drug target for Penicillin is a protein that helps bacteria to synthesise its cell wall. One of the first and most basic requirements for a protein to be characterised as a drug target is to show that inhibiting its function prevents the disease. Big data handling and machine learning made progress by leaps.

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Top 30 Pharma and Biotech Companies in 2023: Statistics and Trends

XTalks

Johnson & Johnson’s Top 5 Best-Selling Drugs of 2022: 1) Stelara (ustekinumab) Stelara is an immunosuppressant biologic therapy that blocks the IL-12 and IL-23 proteins that play a role in plaque psoriasis and Crohn’s disease. Meanwhile, BioMarin’s gene therapy Roctavian is approved by the FDA for the treatment of hemophilia A.

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