Evidence map›Paper›PMID 40512189›Full record

ArticleEuropean biophysics journal : EBJ2025

Amino acids hydrophobic properties in proteins are derived from their atomic polarities.

Juan Cedano, Enrique Querol, Angel Mozo-Villarías

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Article in European biophysics journal : EBJ, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

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4 · The record

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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

3 authors.

Juan CedanoDepartament de Bioquímica I Biologia Molecular, Campus de Bellaterra, Institut de Biotecnologia I Biomedicina, Universitat Autònoma de Barcelona, Bellaterra, 08193, Barcelona, Spain. juanantonio.cedano@uab.cat.ORCID http://orcid.org/0000-0003-1380-8036
Enrique QuerolDepartament de Bioquímica I Biologia Molecular, Campus de Bellaterra, Institut de Biotecnologia I Biomedicina, Universitat Autònoma de Barcelona, Bellaterra, 08193, Barcelona, Spain.
Angel Mozo-VillaríasDepartament de Bioquímica I Biologia Molecular, Campus de Bellaterra, Institut de Biotecnologia I Biomedicina, Universitat Autònoma de Barcelona, Bellaterra, 08193, Barcelona, Spain.

Funding

Ministerio de Asuntos Económicos y Transformación Digital, Gobierno de España BFU2013-50176-EXPMinisterio de Asuntos Económicos y Transformación Digital, Gobierno de España BIO2017-84166R
6 · The paper itself

Abstract

Knowledge of the hydrophobicity of amino acids is essential to understanding the structure and function of proteins. One of the most useful tools for this purpose has been the use of hydrophobicity scales. In these scales, each amino acid is attributed with a numerical value that characterizes its hydrophobic or hydrophilic behavior in a protein. These values depend on the particular methodologies used to obtain them. In the present work, we present a way to infer a hydrophobicity scale for all the amino acids from their partial atomic charge from the uniCHARMM force field. All amino acids are more or less soluble in water as they need to be easily bioavailable in the cell medium. It is during the folding process of a polypeptide chain, that an amino acid goes from a soluble state to be part of a folded protein within a cohesive hydrophobic core. In the present work, we have implemented a model and a formula that considers hydrophilicity as the ability of the atoms of amino acids to interact with water, being proportional to the accessibility to the solvent and its partial charge, depending on its sign. On the other hand, hydrophobicity is considered to be more intense the lower the charge on the atom and also proportional to the accessibility of the atom. This procedure improves the accuracy of protein hydrophobicity calculations down to the atomic level.

Indexed as

Amino AcidsHydrophobic and Hydrophilic InteractionsProteinsModels, MolecularWaterAmino AcidsProteinsWaterHydrophobic collapseHydrophobicity calculation from atomsHydrophobicity scale

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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.