The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Electrostatics of nanosystems: Application to microtubules and the ribosome
Open accessAbstract
Evaluation of the electrostatic properties of biomolecules has become a standard practice in molecular biophysics. Foremost among the models used to elucidate the electrostatic potential is the Poisson-Boltzmann equation; however, existing methods for solving this equation have limited the scope of accurate electrostatic calculations to relatively small biomolecular systems. Here we present the application of numerical methods to enable the trivially parallel solution of the Poisson-Boltzmann equation for supramolecular structures that are orders of magnitude larger in size. As a demonstration of this methodology, electrostatic potentials have been calculated for large microtubule and ribosome structures. The results point to the likely role of electrostatics in a variety of activities of these structures.
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
Structure of the 30S ribosomal subunit
Wimberly, B. T., Brodersen, D. E., Clemons, W. M., Morgan-Warren, R. J., Carter, A. P., Vonrhein, C., Hartsch, T., & Ramakrishnan, V. (2000) · Nature · doi:10.1038/35030006 · Cited by 2,035
Walker, R. A., O'Brien, E. T., Pryer, N. K., Soboeiro, M. F., Voter, W. A., Erickson, H. P., & Salmon, E. D. (1988) · The Journal of Cell Biology · doi:10.1083/jcb.107.4.1437 · Cited by 980
Structure of Functionally Activated Small Ribosomal Subunit at 3.3 Å Resolution
Schluenzen, F., Tocilj, A., Zarivach, R., Harms, J., Gluehmann, M., Janell, D., Bashan, A., Bartels, H., Agmon, I., Franceschi, F., et al. (2000) · Cell · doi:10.1016/s0092-8674(00)00084-2 · Cited by 979
Cited by
UCSF ChimeraX: Meeting modern challenges in visualization and analysis
Goddard, T. D., Huang, C. C., Meng, E. C., Pettersen, E. F., Couch, G. S., Morris, J. H., & Ferrin, T. E. (2018) · Protein Science · doi:10.1002/pro.3235 · Cited by 5,267
g_mmpbsa—A GROMACS Tool for High-Throughput MM-PBSA Calculations
Kumari, R., Kumar, R., Open Source Drug Discovery Consortium, & Lynn, A. (2014) · Journal of Chemical Information and Modeling · doi:10.1021/ci500020m · Cited by 4,882
Structures of Cas9 endonucleases reveal RNA-mediated conformational activation
Jinek, M., Jiang, F., Taylor, D. W., Sternberg, S. H., Kaya, E., Ma, E., Anders, C., Hauer, M., Zhou, K., Lin, S., et al. (2014) · Science · doi:10.1126/science.1247997 · Cited by 1,230
OpenCL: A Parallel Programming Standard for Heterogeneous Computing Systems
Stone, J. E., Gohara, D., & Shi, G. (2010) · Computing in Science & Engineering · doi:10.1109/mcse.2010.69 · Cited by 1,086
Biochemical and Structural Analysis of Common Cancer-Associated KRAS Mutations
Hunter, J. C., Manandhar, A., Carrasco, M. A., Gurbani, D., Gondi, S., & Westover, K. D. (2015) · Molecular Cancer Research · doi:10.1158/1541-7786.mcr-15-0203 · Cited by 786
“Images were prepared using the Pymol APBS tools plugin (41).”
Method
Metadata
- Authors
- Baker, N. A., Sept, D., Joseph, S., Holst, M. J., & McCammon, J. A.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2001-08-21
- Volume
- 98
- Issue
- 18
- Pages
- 10037-10041
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2029582401
- Cited by
- 7,172
- References
- 3
- FWCI
- 16.26
- Type
- journal article
- Language
- en
- Open access
- green
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: Electrostatics of nanosystems: Application to microtubules and the ribosome. https://app.cochat.ai/papers/10.1073/pnas.181342398
- The paper
- Baker, N. A., Sept, D., Joseph, S., Holst, M. J., & McCammon, J. A. (2001). Electrostatics of nanosystems: Application to microtubules and the ribosome. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.181342398
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.
