Evidence map›Paper›PMID 19834622›Full record

ArticlePloS one2009

Revisiting the myths of protein interior: studying proteins with mass-fractal hydrophobicity-fractal and polarizability-fractal dimensions.

Anirban Banerji, Indira Ghosh

Abstract read
In one paragraph

Article in PloS one, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Self-organization, entropy and allostery.Biochemical Society transactions · 2018
    Review
  2. Article
  3. Article
  4. Article
  5. Fractal symmetry of protein interior: what have we learned?Cellular and molecular life sciences : CMLS · 2011
    Review
  6. Article
  7. Anomalies in the vibrational dynamics of proteins are a consequence of fractal-like structure.Proceedings of the National Academy of Sciences of the United States of America · 2010
    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

2 authors.

Anirban BanerjiBioinformatics Centre, University of Pune, Pune, India.
Indira Ghosh

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A robust marker to describe mass, hydrophobicity and polarizability distribution holds the key to deciphering structural and folding constraints within proteins. Since each of these distributions is inhomogeneous in nature, the construct should be sensitive in describing the patterns therein. We show, for the first time, that the hydrophobicity and polarizability distributions in protein interior follow fractal scaling. It is found that (barring 'all-alpha') all the major structural classes of proteins have an amount of unused hydrophobicity left in them. This amount of untapped hydrophobicity is observed to be greater in thermophilic proteins, than that in their (structurally aligned) mesophilic counterparts. 'All-beta'(thermophilic, mesophilic alike) proteins are found to have maximum amount of unused hydrophobicity, while 'all-alpha' proteins have been found to have minimum polarizability. A non-trivial dependency is observed between dielectric constant and hydrophobicity distributions within (alpha+beta) and 'all-alpha' proteins, whereas absolutely no dependency is found between them in the 'all-beta' class. This study proves that proteins are not as optimally packed as they are supposed to be. It is also proved that origin of alpha-helices are possibly not hydrophobic but electrostatic; whereas beta-sheets are predominantly hydrophobic in nature. Significance of this study lies in protein engineering studies; because it quantifies the extent of packing that ensures protein functionality. It shows that myths regarding protein interior organization might obfuscate our knowledge of actual reality. However, if the later is studied with a robust marker of strong mathematical basis, unknown correlations can still be unearthed; which help us to understand the nature of hydrophobicity, causality behind protein folding, and the importance of anisotropic electrostatics in stabilizing a highly complex structure named 'proteins'.

Indexed as

AlgorithmsAnimalsAnisotropyCrystallography, X-RayFractalsHumansHydrophobic and Hydrophilic InteractionsModels, BiologicalModels, TheoreticalProtein ConformationProtein EngineeringProteinsProtein Structure, SecondaryStatic ElectricityThermodynamicsProteins

Identifiers

PMID19834622
PMCPMC2760208

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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.