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Volume 40 Issue 11, November 2022

Protein structure prediction

Artistic rendering of a system for protein structure prediction. Chowdhury et al. present a deep learning method to predict a protein’s structure from its sequence alone, with applications to orphan and de novo–designed proteins.

See Chowdhury et al.

Image: Alina Kurokhtina. Cover Design: Erin Dewalt.

Volume 40 Issue 11

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    • Legal barriers are preventing generic drug makers from being able to utilize the Patent Trial and Appeal Board for its intended purpose — to serve as a faster and less cumbersome alternative to district court litigation.

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      • Saurabh Vishnubhakat
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  • Our multidisciplinary team used novel perfusion technology to successfully keep an injured liver graft discarded by all other centers alive for several days, allowing proper graft evaluation and repair. The graft was successfully transplanted into a sick patient, who recovered quickly and enjoyed a normal life at one-year follow up.

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  • Existing technologies can map the intricate spatial distribution of biomolecules and cell types within tissues, but not in specimens that remain alive and intact. This study introduces scission-accelerated fluorophore exchange (SAFE) bioorthogonal imaging tools that enable living cells and tissues to be deeply and serially profiled, revealing their biological dynamics across both space and time.

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  • A new study describes a microscope combining three-photon excitation and adaptive optics capable of high-resolution in vivo imaging of fine neuronal structures in the mouse cortex through the intact skull. The authors demonstrate the use of this platform to guide precise laser-mediated microsurgery and for accurate and sensitive functional calcium imaging.

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  • We developed two quantitative PCR-based assays to detect SARS-CoV-2-specific T cell immunity: qTACT and dqTACT. The assays quantify CXCL10 mRNA, after incubation of whole blood with viral peptides, as a proxy of an antigen-specific T cell response, and will allow population-level monitoring of cellular immunity to SARS-CoV-2.

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