to our understanding how cells work and how diseases can be cured.
and interactions in cells and make them universally accessible.
and interactions in cells and make them universally accessible.
and interactions in cells and make them universally accessible.
and interactions in cells and make them universally accessible.
LATEST PUBLICATIONS
Reliable identification of protein-protein interactions by crosslinking mass spectrometry
Retention Time Prediction Using Neural Networks Increases Identifications in Crosslinking Mass Spectrometry
LAB NEWS
Understudied proteins are a big obstacle for biomedical research. Most research to date focuses on a limited set of increasingly well-known proteins, so we are launching the Understudied Proteins Initiative. Find out more @naturemethods (https://rdcu.be/cNbFd) and ...
Happy to share our pre-print "SARS-CoV-2 Nsp1 N-terminal and linker regions as a platform for host translational shutoff" - we harness crosslinking-MS to characterize the protein-protein interaction network of SARS-CoV-2 Nsp1 in translational repression.
https://doi.org/10.1101/2022.02.10.479924
We are proud to share our review “Leveraging crosslinking mass spectrometry in structural and cell biology” https://www.cell.com/structure/fulltext/S0969-2126(21)00419-6 for an upcoming @structure_CP special issue. (1/2)
Happy to share our new preprint! We provide a methodological understanding of the key parameters that govern crosslink identification and hope to pave the way for simplified workflows that a wider number of labs can use. https://www.biorxiv.org/content/10.1101/2021.11.23.469675v1
Protein-protein interactions (PPIs) are on the basis of life yet their discovery is complicated - CLMS offers an exciting opportunity for their study but error control remained controversial (1/10)
