Publications by authors named "Christopher Grams"
Article Synopsis
- Protein structure is crucial for understanding protein function and characterization, with new tools from DeepMind and the Baker lab enabling prediction of the entire human proteome's 3D structures.
- The Sequence Coverage Visualizer (SCV) is introduced to assist researchers in visualizing protein sequence coverage and integrating structural insights into proteomics experiments.
- SCV enhances the utility of proteomics data by allowing for the visualization of post-translational modifications and comparisons of different protein structures, thereby aiding in the accuracy of protein structure predictions.
The extracellular matrix (ECM) is a complex assembly of proteins that constitutes the scaffold organizing cells, tissues, and organs. Over the past decade, mass-spectrometry-based proteomics has become the method of choice to profile the composition of the ECM, or the matrisome, of tissues. To assist non-specialists with the reuse of ECM proteomic datasets, we released MatrisomeDB (https://matrisomedb.
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