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Cited by 340

The DOI matches its Crossref record; 40 of the 40 references it cites were found in a registry or an index.

Solvation and Hydration of Proteins and Nucleic Acids: A Theoretical View of Simulation and Experiment

Makarov, Vladimir, Pettitt, B. Montgomery, Feig, Michael·2002·Accounts of Chemical Research

Abstract

Many theoretical, computational, and experimental techniques recently have been successfully used for description of the solvent distribution around macromolecules. In this Account, we consider recent developments in the areas of protein and nucleic acid solvation and hydration as seen by experiment, theory, and simulations. We find that in most cases not only the general phenomena of solvation but even local hydration patterns are more accurately discussed in the context of water distributions rather than individual molecules of water. While a few localized or high-residency waters are often associated with macromolecules in solution (or crystals from aqueous liquors), these are readily and accurately included in this more general description. The goal of this Account is to review the theoretical models used for the description of the interfacial solvent structure on the border near DNA and protein molecules. In particular, we hope to highlight the progress in this field over the past five years with a focus on comparison of simulation and experimental results.

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Metadata

Authors
Makarov, V., Pettitt, B. M., & Feig, M.
Venue
Accounts of Chemical Research
Published
2002-03-08
Volume
35
Issue
6
Pages
376-384
ISSN
  • 0001-4842 (ISSN-L)
  • 1520-4898
OpenAlex
W2005739967
Cited by
340
References
40
FWCI
5.72
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Solvation and Hydration of Proteins and Nucleic Acids: A Theoretical View of Simulation and Experiment. https://app.cochat.ai/papers/10.1021/ar0100273
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Makarov, V., Pettitt, B. M., & Feig, M. (2002). Solvation and Hydration of Proteins and Nucleic Acids: A Theoretical View of Simulation and Experiment. Accounts of Chemical Research. https://doi.org/10.1021/ar0100273

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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.