Protein structure predictions are bioinformatic analyses ... and predictions of deep learning models reveal comparable alpha and beta chain structural diversity despite differing genetic complexity.

The latest version of Google DeepMind and Isomorphic Labs’ AlphaFold model can predict the structure and relationships not only of proteins, but “all of life’s molecules”, according to its ...

Quantum-Si's next-gen protein sequencing tech and growth partnerships show promise, but high costs, financial risks, and ...

TEDC1 and TEDC2, functions in generating centriolar triplet microtubules, and that this is crucial for the proper formation of centriolar subdomains and the stability of centrioles throughout the cell ...

In a paper published in PNAS, researchers at King's College London and the University of Washington describe the unique 3D structure of this protein, which is now being used to develop cancer drug ...

Frequent mutations of SARS-CoV-2 have reduced the effectiveness of vaccines, highlighting the need for mutation-resistant ...

Everything you ever wanted to know about hair bonds and bond-building products, including how Olaplex, K18, and other ...

Paleontologists have long assumed that fossilization destroys all organic molecules in ancient remains. However, a ...

Protein folding is the process by which proteins achieve their mature functional (native) tertiary structure, and often begins co-translationally. Protein folding requires chaperones and often ...

A presynaptic protein closely related to Parkinson's disease (PD), α-synuclein (α-Syn), has been studied extensively regarding its pathogenic mechanisms. As a physiological protein in presynapses, ...

SARS-CoV-2, the virus responsible for COVID-19, infects cells by binding its spike protein to angiotensin-converting enzyme 2 (ACE2) receptors.

In their quest for answers, researchers pinpointed a specific protein, AP2A1 (Adaptor Protein Complex 2, Alpha 1 Subunit), which seems crucial to this cellular ... Both AP2A1 and integrin β1 appear to ...