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How to find a drug: the past, present and future of small molecule drug discovery?

DrugBaron

Despite the current hype around so called “advanced therapies”, which range from gene editing to cell therapies, and the inexorable advance of biologic therapeutics such as monoclonal antibodies, even in 2022 the majority of drugs in development and reaching patients are still small organic molecules.

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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. These complex molecules require precise engineering to ensure optimal efficacy and safety.

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The Collaboration Between Industry and Academia in Drug Development

DrugBank

Drug development is challenging, including not only the complexities of biomolecular drug mechanisms but also the convolutions of regulatory pathways and commercialization strategies. Improved Return on Investment (ROI) Industry-academic partnerships can enhance the financial return on drug development investments.

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AstraZeneca and Regeneron to research, develop and commercialise new small molecule medicines for obesity

The Pharma Data

Novel small molecule drug candidates will target GPR75 to potentially address obesity and related co-morbidities. The companies will evenly split research and development costs and share equally in any future potential profits. Yancopoulos, M.D.,

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Unlocking Undruggable Targets: Shifting Paradigms in Modern Drug Discovery

DrugBank

The Evolution of Drug Discovery: From Dark Rooms to Precision Targets In the past, drug discovery often felt like a lucky guess. This method was more about serendipity than science. But as molecular biology has advanced, so too has our approach to finding new drugs.

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Signaling Complexes: A Ripe Opportunity for Drug Development

LifeSciVC

Recognizing the therapeutic potential of effectively disrupting the CBM complex in the NF-kB pathway, using our technology, we have developed small molecules that we believe to be the first and only inhibitors of MALT1’s scaffolding function.

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Navigating the challenges and opportunities of AI in drug development and personalised medicine

Drug Target Review

Artificial Intelligence (AI) is poised to transform the field of target discovery in drug development, offering immense potential to enhance efficacy, personalised medicine, and accelerate the development of innovative compounds. Cavlan explains that “they are brilliant at developing and bringing new drugs to market.”