Unlocking the power of machine learning for small molecule drug discovery
Rick Wagner of ZebiAI and Patrick Riley of Google Accelerated Science (GAS) discuss the development and benefits of a new machine learning drug discovery platform.
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A drug target is anything within a living organism to which a drug is directed and/or binds, resulting in a change in its behaviour or function.
Rick Wagner of ZebiAI and Patrick Riley of Google Accelerated Science (GAS) discuss the development and benefits of a new machine learning drug discovery platform.
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Over the past year, BellBrook Labs has leveraged its Transcreener HTS Assay technology to build enabling products and services focusing on innate immunity targets.
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By administering a one-time PTB antisense oligonucleotide therapy to mice, researchers observed an increase in neurons and elimination of Parkinson's from the models.
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The drug candidate PL8177 reduced inflammation, protected lung tissue and reduced lung fibrosis in pre-clinical models with symptoms of COVID-19.
Two molecules combined into a new substance to treat type 2 diabetes lowered blood sugar in shrew models without causing nausea, vomiting and weight loss.
Researchers have demonstrated that blocking CD47-mediated signalling in mice can enhance the speed of pathogen clearance, presenting a new potential form of immunotherapy.
Dr Sarah Doyle and Dr Ema Ozaki outline their research into SARM1 and why it presents an attractive target for treating retinal degeneration.
Researchers have developed a video and model-building programme for other scientists to build full-length COVID-19 S protein models.
A new study shows how the Bcl6 protein can regulate T follicular helper cells, presenting a target for autoimmune and infectious diseases.