Evidence map›Paper›PMID 29158409›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2017

Hydrophobicity of proteins and nanostructured solutes is governed by topographical and chemical context.

Erte Xi, Vasudevan Venkateshwaran, Lijuan Li, Nicholas Rego, Amish J Patel, Shekhar Garde

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

39 citing papers in PubMed.

  1. Article
  2. Context-Aware Hydrophobicity Modeling: HydroMap and FastHydroMap.bioRxiv : the preprint server for biology · 2026
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  3. Article
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  6. Review
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  14. Superchaotropic Nano-ion Binding as a Gelation Motif in Cellulose Ether Solutions.Angewandte Chemie (International ed. in English) · 2023
    Article
  15. Article
  16. Article
  17. Learning the relationship between nanoscale chemical patterning and hydrophobicity.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Erte XiDepartment of Chemical & Biomolecular Engineering, University of Pennsylvania, Philadelphia, PA 19104.
Vasudevan VenkateshwaranHoward P. Isermann Department of Chemical and Biological Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180.ORCID 0000-0002-0690-0056
Lijuan LiHoward P. Isermann Department of Chemical and Biological Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180.
Nicholas RegoDepartment of Chemical & Biomolecular Engineering, University of Pennsylvania, Philadelphia, PA 19104.
Amish J PatelDepartment of Chemical & Biomolecular Engineering, University of Pennsylvania, Philadelphia, PA 19104; amish.patel@seas.upenn.edu gardes@rpi.edu.
Shekhar GardeHoward P. Isermann Department of Chemical and Biological Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180; amish.patel@seas.upenn.edu gardes@rpi.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hydrophobic interactions drive many important biomolecular self-assembly phenomena. However, characterizing hydrophobicity at the nanoscale has remained a challenge due to its nontrivial dependence on the chemistry and topography of biomolecular surfaces. Here we use molecular simulations coupled with enhanced sampling methods to systematically displace water molecules from the hydration shells of nanostructured solutes and calculate the free energetics of interfacial water density fluctuations, which quantify the extent of solute-water adhesion, and therefore solute hydrophobicity. In particular, we characterize the hydrophobicity of curved graphene sheets, self-assembled monolayers (SAMs) with chemical patterns, and mutants of the protein hydrophobin-II. We find that water density fluctuations are enhanced near concave nonpolar surfaces compared with those near flat or convex ones, suggesting that concave surfaces are more hydrophobic. We also find that patterned SAMs and protein mutants, having the same number of nonpolar and polar sites but different geometrical arrangements, can display significantly different strengths of adhesion with water. Specifically, hydroxyl groups reduce the hydrophobicity of methyl-terminated SAMs most effectively not when they are clustered together but when they are separated by one methyl group. Hydrophobin-II mutants show that a charged amino acid reduces the hydrophobicity of a large nonpolar patch when placed at its center, rather than at its edge. Our results highlight the power of water density fluctuations-based measures to characterize the hydrophobicity of nanoscale surfaces and caution against the use of additive approximations, such as the commonly used surface area models or hydropathy scales for characterizing biomolecular hydrophobicity and the associated driving forces of assembly.

Indexed as

Hydrophobic and Hydrophilic InteractionsMolecular Dynamics SimulationProtein ConformationGraphiteHumansNanotubesSolventsWaterGraphiteSolventsWaterchemical patterncurvaturegraphenehydrophilicitynanotube

Identifiers

PMID29158409
PMCPMC5754750

What OpenQuestion holds

Textmetadata
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.