The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Introducing an Implicit Membrane in Generalized Born/Solvent Accessibility Continuum Solvent Models
Abstract
A new empirical approach to model the solvent effects in protein−membrane complexes is proposed. The generalized Born (GB) approximation is extended by including an implicit membrane (IM) in the calculation of the electrostatic contribution to the solvation free energy (GB/IM model). In addition, nonpolar solvation energy terms are calculated on the basis of the solvent-accessible surface approximation including the effect of membrane (SA/IM model). The generalized Born−solvent-accessible surface area (GBSA) model with implicit membrane (GBSA/IM) is implemented in the CHARMm package and is applicable for energy calculations and molecular dynamics simulations. The potential of the new method for studying large molecular systems is demonstrated with the example of two transmembrane proteins, bacteriorhodopsin and rhodopsin. The results show a clear directional asymmetry of the solvation energy during translocation of the proteins through the membrane, which is suggested to be an alternative explanation of the known “positive-inside” rule. The method is also tested in nanosecond molecular dynamics (MD) simulations of the influenza virus HA2 (1:20) fusion peptide. Interestingly, when starting from two different initial positions of peptide, during the 3 ns runs, the helical fragment consistently adopts a tilted (∼20−25°) orientation with respect to the membrane in very close agreement with the known electron paramagnetic resonance (EPR) data. We also found an excellent agreement between the p K s of the N-terminal amino group computed for the final MD structures and the known NMR titration data.
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
Crystal Structure of Rhodopsin: A G Protein-Coupled Receptor
Palczewski, K., Kumasaka, T., Hori, T., Behnke, C. A., Motoshima, H., Fox, B. A., Trong, I. L., Teller, D. C., Okada, T., Stenkamp, R. E., et al. (2000) · Science · doi:10.1126/science.289.5480.739 · Cited by 5,637
PARSEGIAN, A. (1969) · Nature · doi:10.1038/221844a0 · Cited by 854
Cited by
CHARMM: The biomolecular simulation program
Brooks, B. R., Brooks, C. L., Mackerell, A. D., Nilsson, L., Petrella, R. J., Roux, B., Won, Y., Archontis, G., Bartels, C., Boresch, S., et al. (2009) · Journal of Computational Chemistry · doi:10.1002/jcc.21287 · Cited by 8,939
Onufriev, A., Bashford, D., & Case, D. A. (2004) · Proteins: Structure, Function, and Bioinformatics · doi:10.1002/prot.20033 · Cited by 2,507
Feig, M., & Brooks, C. L. (2004) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2004.03.009 · Cited by 566
Im, W., Feig, M., & Brooks, C. L. (2003) · Biophysical Journal · doi:10.1016/s0006-3495(03)74712-2 · Cited by 385
Chen, J., Im, W., & Brooks, C. L. (2006) · Journal of the American Chemical Society · doi:10.1021/ja057216r · Cited by 338
Metadata
- Authors
- Spassov, V. Z., Yan, L., & Szalma, S.
- Venue
- The Journal of Physical Chemistry B
- Publisher
- American Chemical Society (ACS)
- Published
- 2002-07-31
- Volume
- 106
- Issue
- 34
- Pages
- 8726-8738
- ISSN
- 1520-5207 (ISSN-L)
- 1520-6106
- OpenAlex
- W2080165003
- Cited by
- 163
- References
- 2
- FWCI
- 2.70
- 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: Introducing an Implicit Membrane in Generalized Born/Solvent Accessibility Continuum Solvent Models. https://app.cochat.ai/papers/10.1021/jp020674r
- The paper
- Spassov, V. Z., Yan, L., & Szalma, S. (2002). Introducing an Implicit Membrane in Generalized Born/Solvent Accessibility Continuum Solvent Models. The Journal of Physical Chemistry B. https://doi.org/10.1021/jp020674r
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.