Alexey Nesvizhskii
University of Michigan, MI·Biochemistry
Proteins do most of the work in cells. They join into complexes and carry chemical tags called post-translational modifications (PTMs) that change their behavior.
- Fields
Biochemistry
Computer Science
Medicine & Clinical Research
- Topics
proteomics
mass spectrometry
bioinformatics
- Grants
- 2 known grants, through May 2028
What they work on
- Improve interactome analysis by moving the REPRINT resource (SAINT scoring plus the CRAPome contaminant repository) to an MSFragger-based pipeline, expanding CRAPome, and refining scoring of protein–protein interactions from AP-MS data.
- Develop tools to identify post-translational modifications in large-scale interactome datasets and find modifications that correlate with interaction changes across conditions.
- Build new algorithms on MSFragger's localization-aware open search for comprehensive PTM profiling and chemical proteomics.
- Develop algorithms, tools, and benchmarking strategies that improve the sensitivity and accuracy of protein quantification in mass spectrometry-based single-cell proteomics.
- Provide mass spectrometry instrumentation, expertise, and informatics support so cancer center researchers can study protein roles in cancer and identify biomarkers and therapeutic targets.
More about the research
Mass spectrometry (MS) can identify and measure thousands of proteins at once. However, turning its huge, complex data into reliable biological answers requires robust software. This work develops computational methods and tools for MS-based proteomics, the large-scale study of proteins. It also supports a cancer center's proteomics shared resource that applies these technologies to cancer research.
Why it matters
Fast, accurate software for mass spectrometry data lets biologists worldwide map protein interactions, chemical modifications, and differences between single cells more reliably. Through the cancer center's proteomics resource, these methods help researchers study how proteins drive cancer and could help identify cancer biomarkers and therapeutic targets.
Known grants
From NIH and NSF research grants. Labs often have other funding we can't see.
Closest labs
Anna Malovannaya
Baylor College of Medicine, TX·Biochemistry
Provide antibody-based protein profiling for cancer researchers using a custom reverse phase protein array (RPPA), which measures many specific proteins across many samples.
Mark Chance
Case Western Reserve University, OH·Biochemistry
Provide proteomic and small-molecule analysis to cancer investigators, including protein identification, post-translational modification characterization, quantitative proteomics, protein interactome mapping and metabolomics, across collaborative and high-throughput service modes.
Liangliang Sun
Michigan State University, MI·Chemistry
Advance CE-MS top-down proteomics to build a first draft proteoform atlas of HeLa cells. The atlas will contain at least one intact protein form for every protein-coding gene.
The school
University of Michigan: 124 labs on PI Pages, $2.1B a year on research, 963 research doctorates a year.
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