The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Classical Electrostatics in Biology and Chemistry
Abstract
A major revival in the use of classical electrostatics as an approach to the study of charged and polar molecules in aqueous solution has been made possible through the development of fast numerical and computational methods to solve the Poisson-Boltzmann equation for solute molecules that have complex shapes and charge distributions. Graphical visualization of the calculated electrostatic potentials generated by proteins and nucleic acids has revealed insights into the role of electrostatic interactions in a wide range of biological phenomena. Classical electrostatics has also proved to be a successful quantitative tool yielding accurate descriptions of electrical potentials, diffusion limited processes, pH-dependent properties of proteins, ionic strength-dependent phenomena, and the solvation free energies of organic molecules.
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Citations
Cites
PARSEGIAN, A. (1969) · Nature · doi:10.1038/221844a0 · Cited by 854
Hermann, R. B. (1972) · The Journal of Physical Chemistry · doi:10.1021/j100663a023 · Cited by 700
Electrostatic recognition between superoxide and copper, zinc superoxide dismutase
Getzoff, E. D., Tainer, J. A., Weiner, P. K., Kollman, P. A., Richardson, J. S., & Richardson, D. C. (1983) · Nature · doi:10.1038/306287a0 · Cited by 554
Faster superoxide dismutase mutants designed by enhancing electrostatic guidance
Getzoff, E. D., Cabelli, D. E., Fisher, C. L., Parge, H. E., Viezzoli, M. S., Banci, L., & Hallewell, R. A. (1992) · Nature · doi:10.1038/358347a0 · Cited by 399
Cited by
UCSF Chimera—A visualization system for exploratory research and analysis
Pettersen, E. F., Goddard, T. D., Huang, C. C., Couch, G. S., Greenblatt, D. M., Meng, E. C., & Ferrin, T. E. (2004) · Journal of Computational Chemistry · doi:10.1002/jcc.20084 · Cited by 45,828
The Amber biomolecular simulation programs
Case, D. A., Cheatham, T. E., Darden, T., Gohlke, H., Luo, R., Merz, K. M., Onufriev, A., Simmerling, C., Wang, B., & Woods, R. J. (2005) · Journal of Computational Chemistry · doi:10.1002/jcc.20290 · Cited by 9,535
CHARMM‐GUI: A web‐based graphical user interface for CHARMM
Jo, S., Kim, T., Iyer, V. G., & Im, W. (2008) · Journal of Computational Chemistry · doi:10.1002/jcc.20945 · Cited by 9,284
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
Onufriev, A., Bashford, D., & Case, D. A. (2004) · Proteins: Structure, Function, and Bioinformatics · doi:10.1002/prot.20033 · Cited by 2,507
Metadata
- Authors
- Honig, B., & Nicholls, A.
- Venue
- Science
- Published
- 1995-05-26
- Volume
- 268
- Issue
- 5214
- Pages
- 1144-1149
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2021534482
- Cited by
- 2,879
- References
- 4
- FWCI
- 71.53
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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