ReviewComputational and structural biotechnology journal2020
Computational methods in mass spectrometry-based structural proteomics for studying protein structure, dynamics, and interactions.
Review in Computational and structural biotechnology journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed, 23 citations in OpenAlex.
- Green Chemistry to Modify Functional Properties of Crambe Protein Isolate-Based Thermally Formed Films.ACS omega · 2023Article
- Structural and dynamic insights into α-synuclein dimer conformations.Structure (London, England : 1993) · 2023Article
- Mapping the plant proteome: tools for surveying coordinating pathways.Emerging topics in life sciences · 2021Review
- FRET-based dynamic structural biology: Challenges, perspectives and an appeal for open-science practices.eLife · 2021Review
- Review
- Protocol for the Bottom-Up Proteomic Analysis of Mouse Spleen.STAR protocols · 2020Article
- Mass Spectrometry Structural Proteomics Enabled by Limited Proteolysis and Cross-Linking.Mass spectrometry reviewsReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mass spectrometry (MS) has made enormous contributions to comprehensive protein identification and quantification in proteomics. MS is also gaining momentum for structural biology in a variety of ways, complementing conventional structural biology techniques. Here, we will review how MS-based techniques, such as hydrogen/deuterium exchange, covalent labeling, and chemical cross-linking, enable the characterization of protein structure, dynamics, and interactions, especially from a perspective of their data analyses. Structural information encoded by chemical probes in intact proteins is decoded by interpreting MS data at a peptide level, i.e., revealing conformational and dynamic changes in local regions of proteins. The structural MS data are not amenable to data analyses in traditional proteomics workflow, requiring dedicated software for each type of data. We first provide basic principles of data interpretation, including isotopic distribution and peptide sequencing. We then focus particularly on computational methods for structural MS data analyses and discuss outstanding challenges in a proteome-wide large scale analysis.
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Registered trials
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.