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When a protein folds, its string of amino acids wiggles and jiggles through countless conformations before it forms a fully folded, functional protein. This rapid and complex process is hard to ...

Proteins are the end products of the decoding process that starts with the information in cellular DNA. As workhorses of the cell, proteins compose structural and motor elements in the cell, and they ...

A new statistical model demonstrates the ability to correctly predict the folding mechanisms for both small and large proteins. The function of a protein is determined by its structure. From the rigid ...

Physics-based ML framework designs IDPs—biomolecules without fixed structures that underlie key functions and diseases such as Parkinson’s.

A new study presents computational strategies to manipulate membrane protein folding and function for biotechnological applications.

Select an option below to continue reading this premium story. Already a Honolulu Star-Advertiser subscriber? Log in now to continue reading. Moreover, protein folding doesn’t happen in isolation.

On Tuesday, Google DeepMind and Isomorphic Labs announced a significant progress update on the next iteration of AlphaFold, the deep learning model that in 2020 cracked the problem of predicting a ...

Artificial intelligence (AI) is reshaping the scientific landscape, offering fantastic solutions to some of the most pressing global challenges. From combating climate change to transforming ...

WEST LAFAYETTE, Ind. — The shared culprit in a slew of diseases — cancers, neurodegenerative diseases, diabetes — is molecules our cells have made incorrectly. Think of them as proteins gone wrong.

Researchers from Cleveland Clinic and IBM recently published findings in the Journal of Chemical Theory and Computation that could lay the groundwork for applying quantum computing methods to protein ...