In this GEN interview, Nobel Laureate David Baker, PhD, emphasizes that designing proteins from scratch is reality and unpacks what's needed for AI to transform medicine.

Google DeepMind’s work with AlphaFold has been nothing short of a miracle, but it is computationally expensive. With that in mind, Apple researchers set off to develop an alternative method to use AI ...

This fully updated volume explores a wide array of new and state-of-the-art tools and resources for protein function prediction. Beginning with in-depth overviews of essential underlying computational ...

Pranam Chatterjee, PhD, assistant professor of bioengineering at the University of Pennsylvania (UPenn), emphasizes that text is all you need for artificial intelligence (AI) models to effectively ...

Article subjects are automatically applied from the ACS Subject Taxonomy and describe the scientific concepts and themes of the article. The development of artificial intelligence-based (AI) methods ...

🧬 AI-powered protein structure-function analysis tool with 8-state secondary structure prediction, functional region identification, and interactive visualization. Built for researchers, educators, ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. RNA possesses functional significance that extends beyond the transport of genetic ...

The application of deep learning algorithms in protein structure prediction has greatly influenced drug discovery and development. Accurate protein structures are crucial for understanding biological ...

Background: The RAD50 gene on chromosome 5q3.11 plays an important role in the MRN (Mre11–Rad50–Nbs1) complex. This complex orchestrates cellular responses to the DNA double-strand breaks (DSBs) ...

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