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Role of environmental specificity in CASP results
by
Stapor, Katarzyna
, Roterman, Irena
, Konieczny, Leszek
in
Ab initio modelling of protein structure
/ Accuracy
/ Algorithms
/ Amino acids
/ Amyloid
/ Analysis
/ Artificial intelligence
/ Bioinformatics
/ Biomedical and Life Sciences
/ CASP
/ Comparative analysis
/ Computational Biology/Bioinformatics
/ Computer Appl. in Life Sciences
/ Environmental factors
/ Folding
/ Folding environment
/ Folding simulation in Silico
/ Hydrophobicity
/ Life Sciences
/ Microarrays
/ Polypeptides
/ Predictions
/ Protein folding
/ Protein structure
/ Protein structure prediction
/ Proteins
2023
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Role of environmental specificity in CASP results
by
Stapor, Katarzyna
, Roterman, Irena
, Konieczny, Leszek
in
Ab initio modelling of protein structure
/ Accuracy
/ Algorithms
/ Amino acids
/ Amyloid
/ Analysis
/ Artificial intelligence
/ Bioinformatics
/ Biomedical and Life Sciences
/ CASP
/ Comparative analysis
/ Computational Biology/Bioinformatics
/ Computer Appl. in Life Sciences
/ Environmental factors
/ Folding
/ Folding environment
/ Folding simulation in Silico
/ Hydrophobicity
/ Life Sciences
/ Microarrays
/ Polypeptides
/ Predictions
/ Protein folding
/ Protein structure
/ Protein structure prediction
/ Proteins
2023
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Do you wish to request the book?
Role of environmental specificity in CASP results
by
Stapor, Katarzyna
, Roterman, Irena
, Konieczny, Leszek
in
Ab initio modelling of protein structure
/ Accuracy
/ Algorithms
/ Amino acids
/ Amyloid
/ Analysis
/ Artificial intelligence
/ Bioinformatics
/ Biomedical and Life Sciences
/ CASP
/ Comparative analysis
/ Computational Biology/Bioinformatics
/ Computer Appl. in Life Sciences
/ Environmental factors
/ Folding
/ Folding environment
/ Folding simulation in Silico
/ Hydrophobicity
/ Life Sciences
/ Microarrays
/ Polypeptides
/ Predictions
/ Protein folding
/ Protein structure
/ Protein structure prediction
/ Proteins
2023
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Journal Article
Role of environmental specificity in CASP results
2023
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Overview
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
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
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.
Publisher
BioMed Central,BioMed Central Ltd,Springer Nature B.V,BMC
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