IDEAS home Printed from https://ideas.repec.org/a/nat/nature/v437y2005i7059d10.1038_nature04162.html
   My bibliography  Save this article

Interfaces and the driving force of hydrophobic assembly

Author

Listed:
  • David Chandler

    (University of California)

Abstract

The hydrophobic effect — the tendency for oil and water to segregate — is important in diverse phenomena, from the cleaning of laundry, to the creation of micro-emulsions to make new materials, to the assembly of proteins into functional complexes. This effect is multifaceted depending on whether hydrophobic molecules are individually hydrated or driven to assemble into larger structures. Despite the basic principles underlying the hydrophobic effect being qualitatively well understood, only recently have theoretical developments begun to explain and quantify many features of this ubiquitous phenomenon.

Suggested Citation

  • David Chandler, 2005. "Interfaces and the driving force of hydrophobic assembly," Nature, Nature, vol. 437(7059), pages 640-647, September.
  • Handle: RePEc:nat:nature:v:437:y:2005:i:7059:d:10.1038_nature04162
    DOI: 10.1038/nature04162
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/nature04162
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1038/nature04162?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Adu Offei-Danso & Uriel N. Morzan & Alex Rodriguez & Ali Hassanali & Asja Jelic, 2023. "The collective burst mechanism of angular jumps in liquid water," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    2. Shun Kaneko & Shunsuke Imai & Tomomi Uchikubo-Kamo & Tamao Hisano & Nobuaki Asao & Mikako Shirouzu & Ichio Shimada, 2024. "Structural and dynamic insights into the activation of the μ-opioid receptor by an allosteric modulator," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    3. Diana Fusco & Timothy J Barnum & Andrew E Bruno & Joseph R Luft & Edward H Snell & Sayan Mukherjee & Patrick Charbonneau, 2014. "Statistical Analysis of Crystallization Database Links Protein Physico-Chemical Features with Crystallization Mechanisms," PLOS ONE, Public Library of Science, vol. 9(7), pages 1-12, July.
    4. Judit Farrando-Perez & Rafael Balderas-Xicohtencatl & Yongqiang Cheng & Luke Daemen & Carlos Cuadrado-Collados & Manuel Martinez-Escandell & Anibal J. Ramirez-Cuesta & Joaquin Silvestre-Albero, 2022. "Rapid and efficient hydrogen clathrate hydrate formation in confined nanospace," Nature Communications, Nature, vol. 13(1), pages 1-6, December.
    5. Jyoti Shanker Pandey & Nicolas von Solms, 2022. "Metal–Organic Frameworks and Gas Hydrate Synergy: A Pandora’s Box of Unanswered Questions and Revelations," Energies, MDPI, vol. 16(1), pages 1-30, December.
    6. Kanth, Jampa Maruthi Pradeep & Anishetty, Ramesh, 2013. "Hydrophobic force, a Casimir-like effect due to hydrogen-bond fluctuations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(20), pages 4804-4823.
    7. Corsaro, Carmelo & Mallamace, Domenico & Neri, Giulia & Fazio, Enza, 2021. "Hydrophilicity and hydrophobicity: Key aspects for biomedical and technological purposes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 580(C).
    8. Yang, Xin & Cheng, Ke & Jia, Guo-zhu, 2019. "The molecular dynamics simulation of hydrogen bonding in supercritical water," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 516(C), pages 365-375.
    9. Wang, Tao & Zhou, Hanxu & Fang, Qing & Han, Yanan & Guo, Xingxing & Zhang, Yahui & Qian, Chao & Chen, Hongsheng & Barland, Stéphane & Xiang, Shuiying & Lippi, Gian Luca, 2024. "Reservoir computing-based advance warning of extreme events," Chaos, Solitons & Fractals, Elsevier, vol. 181(C).

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:nature:v:437:y:2005:i:7059:d:10.1038_nature04162. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.