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Improved methods for fitting sedimentation coefficient distributions derived by time-derivative techniques
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Cited by
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How Random are Intrinsically Disordered Proteins? A Small Angle Scattering Perspective
Receveur-Brechot, V., & Durand, D. (2012) · Current Protein & Peptide Science · doi:10.2174/138920312799277901 · Cited by 360
Bright monomeric near-infrared fluorescent proteins as tags and biosensors for multiscale imaging
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30 nm Chromatin Fibre Decompaction Requires both H4-K16 Acetylation and Linker Histone Eviction
Robinson, P. J. J., An, W., Routh, A., Martino, F., Chapman, L., Roeder, R. G., & Rhodes, D. (2008) · Journal of Molecular Biology · doi:10.1016/j.jmb.2008.04.050 · Cited by 311
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Metadata
- Authors
- Philo, J. S.
- Venue
- Analytical Biochemistry
- Publisher
- Elsevier BV
- Published
- 2006-07
- Volume
- 354
- Issue
- 2
- Pages
- 238-246
- ISSN
- 0003-2697 (ISSN-L)
- OpenAlex
- W2168048325
- Cited by
- 216
- References
- 0
- FWCI
- 5.40
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Improved methods for fitting sedimentation coefficient distributions derived by time-derivative techniques. https://app.cochat.ai/papers/10.1016/j.ab.2006.04.053
- The paper
- Philo, J. S. (2006). Improved methods for fitting sedimentation coefficient distributions derived by time-derivative techniques. Analytical Biochemistry. https://doi.org/10.1016/j.ab.2006.04.053
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
