The future of drug development: AI tailors artificial DNA
Swedish researchers have designed synthetic DNA that controls a cells’ protein production using AI.
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Swedish researchers have designed synthetic DNA that controls a cells’ protein production using AI.
US scientists have developed a potential medication for the genetic cause of ALS and dementia, that eliminates the mutated segments of RNA.
US researchers showed that the protein: GRP78, implicated in COVID-19 and cancers, is effected by the new drug HA15.
US researchers discovered in a study in mice that augmented drug eliminates cancer cells without causing toxicity.
This article highlights five of the latest findings revealed using CRISPR that could be used in the development or design of new therapies.
Drug Target Review’s Ria Kakkad recently travelled to Barcelona to attend PEGS Europe’s Protein and Antibody Engineering Summit. In this article, she shares her highlights from the event.
Japanese scientists underwent a study exploring trigeminal nerves and how the intranasal administration of the novel glucagon-like peptide-2 can produce antidepressant effects in mice.
A new AI model can accelerate drug discovery by accurately predicting human response to novel drug compounds.
Victoria Rees and Ria Kakkad from Drug Target Review bring you the key takeaways from the ELRIG Drug Discovery 2022 event in London.
The Scripps Research team showed that a variation of an already FDA-approved therapeutic for neurological disease can block COVID-19 infection in animals.
Jiankun Lyu hopes to use algorithms to find improved drugs by screening chemicals that may look different to a protein’s known ligands but work in a similar way.
Using an AI algorithm that models drug and target protein interactions, researchers achieved up to 97 percent accuracy in identifying promising drug candidates.
Ensuring that drug candidates can reach the clinic is no easy task, so having models that can closely represent human pathology is crucial. Here, Dr Beth Hoffman, CEO of Origami Therapeutics, describes the successes and challenges of using human disease cell models in drug discovery.
A new screening study has shown that three natural compounds present in foods like green tea may be candidates for drugs that combat the coronavirus.
Researchers have developed a machine learning method to quantitatively analyse and compare microscopy images of proteins.