The DOI matches its Crossref record.
Identification of the acidic and basic subunit complexes of glycinin.
Open accessAbstract
Five complexes consisting of one acidic and one basic subunit that were linked via disulfide bonds were purified from unreduced S-alkylated glycinin. The acidic and basic subunits were identified unambiguously using NH2-terminal sequence analysis, sodium dodecyl sulfate (SDS)-electrophoresis, and analytical isoelectric focusing. The subunit pairings are A1aB2, A1bB1b, A2B1a, A3B4, and F2(2)B3. Polypeptide A4 was not linked to a corresponding basic subunit via a disulfide bond. The study shows that pairing between subunits is nonrandom, which is consistent with evidence that glycinin is synthesized as a Mr = 60,000 precursor that undergoes post-translational modification to form the individual linked subunits.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Characterization of the glycinin gene family in soybean.
Nielsen, N. C., Dickinson, C. D., Cho, T. J., Thanh, V. H., Scallon, B. J., Fischer, R. L., Sims, T. L., Drews, G. N., & Goldberg, R. B. (1989) · The Plant Cell · doi:10.1105/tpc.1.3.313 · Cited by 382
Self-citationChemistry and Nutritional Value of Soybean Components
Liu, K. (1997) · Soybeans · doi:10.1007/978-1-4615-1763-4_2 · Cited by 259
Huang, L., Ding, X., Li, Y., & Ma, H. (2019) · Food Chemistry · doi:10.1016/j.foodchem.2018.11.147 · Cited by 224
Mixing plant-based proteins: Gel properties of hemp, pea, lentil proteins and their binary mixtures
Guidi, S., Formica, F. A., & Denkel, C. (2022) · Food Research International · doi:10.1016/j.foodres.2022.111752 · Cited by 83
Metadata
- Authors
- Staswick, P. E., Hermodson, M. A., & Nielsen, N. C.
- Venue
- Journal of Biological Chemistry
- Publisher
- Elsevier BV
- Published
- 1981-08
- Volume
- 256
- Issue
- 16
- Pages
- 8752-8755
- ISSN
- 0021-9258 (ISSN-L)
- OpenAlex
- W1544745708
- Cited by
- 179
- References
- 0
- FWCI
- 3.55
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Identification of the acidic and basic subunit complexes of glycinin. https://app.cochat.ai/papers/10.1016/s0021-9258(19)68908-8
- The paper
- Staswick, P. E., Hermodson, M. A., & Nielsen, N. C. (1981). Identification of the acidic and basic subunit complexes of glycinin. Journal of Biological Chemistry. https://doi.org/10.1016/s0021-9258(19)68908-8
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.
