Role of environmental specificity in CASP results.


Journal

BMC bioinformatics
ISSN: 1471-2105
Titre abrégé: BMC Bioinformatics
Pays: England
ID NLM: 100965194

Informations de publication

Date de publication:
11 Nov 2023
Historique:
received: 13 09 2023
accepted: 06 11 2023
medline: 13 11 2023
pubmed: 11 11 2023
entrez: 10 11 2023
Statut: epublish

Résumé

Recently, significant progress has been made in the field of protein structure prediction by the application of artificial intelligence techniques, as shown by the results of the CASP13 and CASP14 (Critical Assessment of Structure Prediction) competition. However, the question of the mechanism behind the protein folding process itself remains unanswered. Correctly predicting the structure also does not solve the problem of, for example, amyloid proteins, where a polypeptide chain with an unaltered sequence adopts a different 3D structure. This work was an attempt at explaining the structural variation by considering the contribution of the environment to protein structuring. The application of the fuzzy oil drop (FOD) model to assess the validity of the selected models provided in the CASP13, CASP14 and CASP15 projects reveals the need for an environmental factor to determine the 3D structure of proteins. Consideration of the external force field in the form of polar water (Fuzzy Oil Drop) and a version modified by the presence of the hydrophobic compounds, FOD-M (FOD-Modified) reveals that the protein folding process is environmentally dependent. An analysis of selected models from the CASP competitions indicates the need for structure prediction as dependent on the consideration of the protein folding environment. The conditions governed by the environment direct the protein folding process occurring in a certain environment. Therefore, the variation of the external force field should be taken into account in the models used in protein structure prediction.

Sections du résumé

BACKGROUND BACKGROUND
Recently, significant progress has been made in the field of protein structure prediction by the application of artificial intelligence techniques, as shown by the results of the CASP13 and CASP14 (Critical Assessment of Structure Prediction) competition. However, the question of the mechanism behind the protein folding process itself remains unanswered. Correctly predicting the structure also does not solve the problem of, for example, amyloid proteins, where a polypeptide chain with an unaltered sequence adopts a different 3D structure.
RESULTS RESULTS
This work was an attempt at explaining the structural variation by considering the contribution of the environment to protein structuring. The application of the fuzzy oil drop (FOD) model to assess the validity of the selected models provided in the CASP13, CASP14 and CASP15 projects reveals the need for an environmental factor to determine the 3D structure of proteins. Consideration of the external force field in the form of polar water (Fuzzy Oil Drop) and a version modified by the presence of the hydrophobic compounds, FOD-M (FOD-Modified) reveals that the protein folding process is environmentally dependent. An analysis of selected models from the CASP competitions indicates the need for structure prediction as dependent on the consideration of the protein folding environment.
CONCLUSIONS CONCLUSIONS
The conditions governed by the environment direct the protein folding process occurring in a certain environment. Therefore, the variation of the external force field should be taken into account in the models used in protein structure prediction.

Identifiants

pubmed: 37950210
doi: 10.1186/s12859-023-05559-8
pii: 10.1186/s12859-023-05559-8
pmc: PMC10638730
doi:

Substances chimiques

Proteins 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

425

Subventions

Organisme : Uniwersytet Jagielloński Collegium Medicum
ID : N41 / DBS / 000722

Informations de copyright

© 2023. The Author(s).

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Auteurs

Irena Roterman (I)

Department of Bioinformatics and Telemedicine, Jagiellonian University - Medical College, Medyczna 7, 30-688, Krakow, Poland. myroterm@cyf-kr.edu.pl.

Katarzyna Stapor (K)

Faculty of Automatic, Electronics and Computer Science, Department of Applied, Informatics, Silesian University of Technology, Akademicka 16, 44-100, Gliwice, Poland.

Leszek Konieczny (L)

Jagiellonian University - Medical College, Kopernika 7, 31-034, Krakow, Poland.

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Classifications MeSH