The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Raman structural markers of tryptophan and histidine side chains in proteins
Abstract
The Raman spectrum of a protein contains a wealth of information on the structure and interaction of the protein. To extract the structural information from the Raman spectrum, it is necessary to identify and interpret the marker bands that reflect the structure and interaction in the protein. Recently, new Raman structural markers have been proposed for the tryptophan and histidine side chains by examining the spectra–structure correlations of model compounds. Raman structural markers are now available for the conformation, hydrogen bonding, hydrophobic interaction, and cation–π interaction of the indole ring of Trp. For His, protonation, tautomerism, and metal coordination of the imidazole ring can be studied by using Raman markers. The high‐resolution X‐ray crystal structures of proteins provide the basis for testing and modifying the Raman structural markers of Trp and His. The structures derived from Raman spectra are generally consistent with the X‐ray crystal structures, giving support for the applicability of most Raman structural makers. Possible modifications and limitations to some marker bands are also discussed. © 2003 Wiley Periodicals, Inc. Biopolymers (Biospectroscopy) 72: 305–317, 2003
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
Cites
Miura, T., Takeuchi, H., & Harada, I. (1988) · Biochemistry · doi:10.1021/bi00401a015 · Cited by 241
Self-citation
Cited by
Challenges in application of Raman spectroscopy to biology and materials
Kuhar, N., Sil, S., Verma, T., & Umapathy, S. (2018) · RSC Advances · doi:10.1039/c8ra04491k · Cited by 334
Metadata
- Authors
- Takeuchi, H.
- Venue
- Biopolymers
- Publisher
- Wiley
- Published
- 2003-01
- Volume
- 72
- Issue
- 5
- Pages
- 305-317
- ISSN
- 0006-3525 (ISSN-L)
- 1097-0282
- OpenAlex
- W2080652299
- Cited by
- 232
- References
- 1
- FWCI
- 1.80
- Type
- journal article
- Language
- en
- Open access
- closed
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: Raman structural markers of tryptophan and histidine side chains in proteins. https://app.cochat.ai/papers/10.1002/bip.10440
- The paper
- Takeuchi, H. (2003). Raman structural markers of tryptophan and histidine side chains in proteins. Biopolymers. https://doi.org/10.1002/bip.10440
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.