The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.
How to measure and evaluate binding affinities
Open accessAbstract
Quantitative measurements of biomolecule associations are central to biological understanding and are needed to build and test predictive and mechanistic models. Given the advances in high-throughput technologies and the projected increase in the availability of binding data, we found it especially timely to evaluate the current standards for performing and reporting binding measurements. A review of 100 studies revealed that in most cases essential controls for establishing the appropriate incubation time and concentration regime were not documented, making it impossible to determine measurement reliability. Moreover, several reported affinities could be concluded to be incorrect, thereby impacting biological interpretations. Given these challenges, we provide a framework for a broad range of researchers to evaluate, teach about, perform, and clearly document high-quality equilibrium binding measurements. We apply this framework and explain underlying fundamental concepts through experimental examples with the RNA-binding protein Puf4.
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Baughman, H. E. R., Narang, D., Chen, W., Villagrán Suárez, A. C., Lee, J., Bachochin, M. J., Gunther, T. R., Wolynes, P. G., & Komives, E. A. (2022) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2022.102349 · Cited by 27
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Kotov, V., Killer, M., Jungnickel, K. E. J., Lei, J., Finocchio, G., Steinke, J., Bartels, K., Strauss, J., Dupeux, F., Humm, A.-S., et al. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.112831 · Cited by 20
Intrinsically disordered regions regulate RhlE RNA helicase functions in bacteria
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Metadata
- Authors
- Jarmoskaite, I., AlSadhan, I., Vaidyanathan, P. P., & Herschlag, D.
- Venue
- eLife
- Publisher
- eLife Sciences Publications, Ltd
- Published
- 2020-08-06
- Volume
- 9
- ISSN
- 2050-084X (ISSN-L)
- OpenAlex
- W3048271700
- Cited by
- 522
- References
- 57
- FWCI
- 15.49
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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