Integrative structure modeling of macromolecular assemblies from proteomics data
Open accessAbstract
Proteomics techniques have been used to generate comprehensive lists of protein interactions in a number of species. However, relatively little is known about how these interactions result in functional multiprotein complexes. This gap can be bridged by combining data from proteomics experiments with data from established structure determination techniques. Correspondingly, integrative computational methods are being developed to provide descriptions of protein complexes at varying levels of accuracy and resolution, ranging from complex compositions to detailed atomic structures.
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Complementary measurement techniques are beneficial and may ultimately be necessary to gain a full understanding of biological structure across multiple scales.
“A core concept is that complementary measurement techniques are not only beneficial in general, but they may ultimately be necessary to gain a full understanding of biological structure across multiple scales.”
From Mapping the multiscale structure of biological systems (2021) · cites this paper as Lasker et al., 2010
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References 156 · Cited by 71
Research works printed but not linked: 1
- Shanno, D. F., and Phua, K. H. (1980) Minimization of unrestrained mul- tivariate functions. ACM Trans. Math. Soft. 6, 618 -622
- Authors
- Lasker, K., Phillips, J. L., Russel, D., Velázquez-Muriel, J., Schneidman-Duhovny, D., Tjioe, E., Webb, B., Schlessinger, A., & Sali, A.
- Affiliations
- QB3 (US)
- Corresponding author
- Lasker, Keren
- Phillips, Jeremy L.
- Venue
- Molecular & Cellular Proteomics
- Publisher
- Elsevier BV
- Published
- 2010-08
- Volume
- 9
- Issue
- 8
- Pages
- 1689-1702
- ISSN
- 1535-9476 (ISSN-L)
- PMC
- PMC2938050
- OpenAlex
- W2134695030
- Cited by
- 71
- References
- 156
- Citations by year
- 2025: 1 · 2023: 1 · 2022: 2 · 2021: 2 · 2020: 1 · 2019: 3 · 2018: 3 · 2017: 6 · 2016: 5 · 2015: 4 · 2014: 10 · 2013: 5 · 2012: 12
- FWCI
- 4.30
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Molecular & Cellular Proteomics (publishedVersion, cc-by)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Science Foundation (0705196)
- NetApp
- Tel Aviv University
- National Institutes of Health (EY016525, RR022220, GM54762, R01 GM54762)
- National Eye Institute (PN2EY016525)
- National Institute of General Medical Sciences (R01GM083960, R01GM054762, R01 GM54762)
- National Center for Research Resources (U54RR022220)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Physical Sciences › Materials Science › Materials Chemistry › Enzyme Structure and Function
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Keywords
- macromolecular complexes, protein complexes, protein-protein interaction, protein complex structure, structure determination, protein complex composition
- MeSH terms
- Humans, Models, Molecular, RNA Polymerase II, Proteomics, Multiprotein Complexes
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