The DOI matches its Crossref record.
Relationship of sidechain hydrophobicity and α‐helical propensity on the stability of the single‐stranded amphipathic α‐helix
Abstract
The aim of the present investigation is to determine the effect of α‐helical propensity and sidechain hydrophobicity on the stability of amphipathic α‐helices. Accordingly, a series of 18‐residue amphipathic α‐helical peptides has been synthesized as a model system where all 20 amino acid residues were substituted on the hydrophobic face of the amphipathic α‐helix. In these experiments, all three parameters (sidechain hydrophobicity, α‐helical propensity and helix stability) were measured on the same set of peptide analogues. For these peptide analogues that differ by only one amino acid residue, there was a 0.96 kcal/mole difference in α‐helical propensity between the most (Ala) and the least (Gly) α‐helical analogue, a 12.1‐minute difference between the most (Phe) and the least (Asp) retentive analogue on the reversed‐phase column, and a 32.3°C difference in melting temperatures between the most (Leu) and the least (Asp) stable analogue. The results show that the hydrophobicity and α‐helical propensity of an amino acid sidechain are not correlated with each other, but each contributes to the stability of the amphipathic α‐helix. More importantly, the combined effects of α‐helical propensity and sidechain hydrophobicity at a ratio of about 2:1 had optimal correlation with α‐helix stability. These results suggest that both α‐helical propensity and sidechain hydrophobicity should be taken into consideration in the design of α‐helical proteins with the desired stability.
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
Chen, Y., Mant, C. T., Farmer, S. W., Hancock, R. E. W., Vasil, M. L., & Hodges, R. S. (2005) · Journal of Biological Chemistry · doi:10.1074/jbc.m413406200 · Cited by 600
Self-citationGlobal analysis of protein folding using massively parallel design, synthesis, and testing
Rocklin, G. J., Chidyausiku, T. M., Goreshnik, I., Ford, A., Houliston, S., Lemak, A., Carter, L., Ravichandran, R., Mulligan, V. K., Chevalier, A., et al. (2017) · Science · doi:10.1126/science.aan0693 · Cited by 501
Drug–target affinity prediction using graph neural network and contact maps
Jiang, M., Li, Z., Zhang, S., Wang, S., Wang, X., Yuan, Q., & Wei, Z. (2020) · RSC Advances · doi:10.1039/d0ra02297g · Cited by 372
Mega-scale experimental analysis of protein folding stability in biology and design
Tsuboyama, K., Dauparas, J., Chen, J., Laine, E., Mohseni Behbahani, Y., Weinstein, J. J., Mangan, N. M., Ovchinnikov, S., & Rocklin, G. J. (2023) · Nature · doi:10.1038/s41586-023-06328-6 · Cited by 350
Random heteropolymers preserve protein function in foreign environments
Panganiban, B., Qiao, B., Jiang, T., DelRe, C., Obadia, M. M., Nguyen, T. D., Smith, A. A. A., Hall, A., Sit, I., Crosby, M. G., et al. (2018) · Science · doi:10.1126/science.aao0335 · Cited by 294
Metadata
- Authors
- Monera, O. D., Sereda, T. J., Zhou, N. E., Kay, C. M., & Hodges, R. S.
- Venue
- Journal of Peptide Science
- Publisher
- Wiley
- Published
- 1995-09
- Volume
- 1
- Issue
- 5
- Pages
- 319-329
- ISSN
- 1075-2617 (ISSN-L)
- 1099-1387
- OpenAlex
- W1982258330
- Cited by
- 365
- References
- 0
- FWCI
- 1.18
- 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: Relationship of sidechain hydrophobicity and α‐helical propensity on the stability of the single‐stranded amphipathic α‐helix. https://app.cochat.ai/papers/10.1002/psc.310010507
- The paper
- Monera, O. D., Sereda, T. J., Zhou, N. E., Kay, C. M., & Hodges, R. S. (1995). Relationship of sidechain hydrophobicity and α‐helical propensity on the stability of the single‐stranded amphipathic α‐helix. Journal of Peptide Science. https://doi.org/10.1002/psc.310010507
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.