There are different types of biotechnology protocols for genome/gene editing (GE), but the preferred one is the Clustered Regularly Interspaced Short Palynodromic Repeat (CRISPR) Cas9 system. Advantages include precision, the ability to design variants tailored to needs, and optimal operational cost and time.
We’ve all heard about the potential of artificial intelligence in the life sciences field. In 2020, the launch of AlphaFold 2, pioneered by Google DeepMind, took the world by storm and marked a new age in protein structure prediction. But now, AlphaFold 3 is transforming the landscape again. In this news highlight, we explore the new tech, compare it to its predecessor and take a look to the future.
Before the AI revolution, protein structure prediction heavily relied on experimental methods, such as X-ray crystallography, NMR spectroscopy and, later, some complex computational methods like homology modelling. These methods were time consuming and costly, and were a major limiting step in drug discovery and development processes in particular. For years, scientists have been attempting to integrate the latest and greatest AI models into the field, in order to speed up the process and improve accuracy.
Enter AlphaFold, an artificial intelligence tool developed by Google’s DeepMind. The first version of the technology was released in 2018, but it was 2020’s AlphaFold 2 that made headlines – winning the prestigious Critical Assessment of Structure Prediction (CASP) 14 competition. Having gone through multiple major iterations, the most recent release, AlphaFold 3, is set to further transform the protein space. But what does it do, and how may it outperform its predecessor?
Researchers from the University of California, Irvine have discovered the neurons responsible for “item memory,” deepening our understanding of how the brain stores and retrieves the details of “what” happened and offering a new target for treating Alzheimer’s disease.
Memories include three types…
Finding significantly deepens understanding of crucial component of cognitive function.
Researchers are testing the use of mRNA to get damaged livers to repair themselves, in a move that could one day lessen the need for organ transplants.
In the quest to develop life-like materials to replace and repair human body parts, scientists face a formidable challenge: Real tissues are often both strong and stretchable and vary in shape and size.
A CU Boulder-led team, in collaboration with researchers at the University of Pennsylvania, has taken a critical step toward cracking that code. They’ve developed a new way to 3D print material that is at once elastic enough to withstand a heart’s persistent beating, tough enough to endure the crushing load placed on joints, and easily shapable to fit a patient’s unique defects.
Better yet, it sticks easily to wet tissue.
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Hundreds of medical algorithms have been approved on basis of limited clinical data. Scientists are debating who should test these tools and how best to do it.
Neuralink says it has successfully implanted another brain chip in a human patient.
According to a study update shared by the company, the patient, identified by his first name, Alex, has been improving his ability to play video games and has started learning how to use design software to create 3D objects.
The company said the procedure “went well,” and Alex’s recovery “has been smooth.”
CRISPR will get easier and easier to administer. What does that mean for the future of our species?
Researchers at a Swedish university have developed tiny robots that can kill cancerous tumours with deadly precision.
