Morning Overview on MSN

AlphaFold rewired science, and 5 years later it’s still evolving

AlphaFold arrived as a technical moonshot that suddenly made protein structures feel like software rather than secrets of ...
Modern Engineering Marvels on MSN

140,000 DNA loops mapped with AI to predict genome folding

A game-changining achievement in genome science has identified over 140,000 distinct DNA loops in our cells, providing chromosome fold resolution that is among the best ever created. In this ongoing ...
Interesting Engineering

AlphaFold and the architecture that cracked protein structure

AlphaFold didn't accelerate biology by running faster experiments. It changed the engineering assumptions behind protein ...
IEEE

A Deep Learning Framework for Protein-to-Metal Binding Prediction Using Protein Language Models

Abstract: This study presents an end-to-end deep learning framework for protein–to-metal-ion binding prediction, a critical task in understanding protein function, structural stability, and metal ...
Live Science

Giant structure discovered deep beneath Bermuda is unlike anything else on Earth

A thick layer of more than 12 miles of rock may explain why Bermuda seems to float above the surrounding ocean. When you purchase through links on our site, we may earn an affiliate commission. Here’s ...
dailyUW.com

Nobel laureate David Baker discusses deep learning and protein design in Kane Hall lecture

David Baker, Nobel Prize laureate and UW biochemistry professor, detailed the design and applications of new proteins using deep learning programs at Kane Hall on Oct. 28. Research assistant professor ...
Frontiers

Editorial: Computational protein function prediction based on sequence and/or structural data

In recent years, the integration of computational and machine learning techniques has dramatically advanced our understanding of protein function and engineering. As proteins underpin virtually every ...
Purdue University

In Print: ‘Protein Function Prediction: Methods and Protocols’

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 ...
IEEE

Enhancing Protein Structure Learning using a Size-Guided Conditional Mixture-of-Experts

Abstract: In recent years, deep learning on protein structures has attracted widespread attention, as structures determine proteins' function. A series of structure-based protein property prediction ...
EurekAlert!

Protein structures and artificial intelligence join forces to transform drug combination therapy

Illustration showing how integrating protein three-dimensional structures with artificial intelligence algorithms can predict synergistic or antagonistic effects of drug combinations, guiding safer ...