Evidence map›Paper›PMID 34628629›Full record

ArticleAdvances in experimental medicine and biology2021

Discovery of Native Protein Complexes by Liquid Chromatography Followed by Quantitative Mass Spectrometry.

Wasim Aftab, Axel Imhof

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Article in Advances in experimental medicine and biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Wasim AftabBiomedical Center, Protein Analysis Unit, Faculty of Medicine, Ludwig-Maximilians-Universität München, Munich, Germany.
Axel ImhofBiomedical Center, Protein Analysis Unit, Faculty of Medicine, Ludwig-Maximilians-Universität München, Munich, Germany. imhof@lmu.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Discovering protein complexes in vivo is of vital importance to understand the evolution and function of biological systems. Proteomics analysis has evolved as a state-of-the-art technique in elucidating the above information. A combination of liquid chromatography (LC) and liquid chromatography coupled to shotgun mass spectrometry (LC-MS) provides the most exhaustive information in this regard. However, a significant amount of computational effort is required for the meaningful interpretation of the generated datasets. In this chapter we describe in detail the state-of-the-art pipeline to discover soluble protein complexes and provide practical advice focusing on typical situations a biologist faces while analyzing such proteomics datasets. Furthermore, we briefly describe two commonly used software packages to solve the described problem: Weka for training protein-protein interactions (PPIs) using machine learning (ML) and Cytoscape for clustering the interaction network.

Indexed as

ProteomicsChromatography, LiquidMass SpectrometryData-independent data acquisition (DIA)Denoising protein-protein interaction matricesLabel-based protein quantificationLabel-free protein quantificationLiquid chromatographyMachine learningMass spectrometryNetwork analysisNetwork displayProtein networksProtein-protein interactionsShotgun proteomicsSpectral librariesWeighted cross correlation

Identifiers

PMID34628629

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.