Search for Functional Flexible Regions in the G-protein Family: New Reading of the FoldUnfold Program

Unstructured regions in proteins can vary from several amino acid residues to a completely disordered sequence. Since such regions play an important role in the protein functioning, much attention is being paid to their prediction. Special different programs are available for this purpose; however,...

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Published inProtein and peptide letters Vol. 25; no. 6; p. 589
Main Authors Deryusheva, Eugenia, Machulin, Andrey, Nemashkalova, Ekaterina, Glyakina, Anna, Galzitskaya, Oxana
Format Journal Article
LanguageEnglish
Published Netherlands 01.01.2018
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ISSN1875-5305
DOI10.2174/0929866525666180621143957

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Abstract Unstructured regions in proteins can vary from several amino acid residues to a completely disordered sequence. Since such regions play an important role in the protein functioning, much attention is being paid to their prediction. Special different programs are available for this purpose; however, predictions obtained vary from protein to protein. In this article, our motivation is the investigation of the high prediction accuracy of flexible loops in G-proteins family with FoldUnfold program due to crucial functions associated with these regions. For prediction of loops in the G-proteins we used programs as RONN, DisEMBL, Glob- Plot2, IUPred, PONDR, FoldIndex, MobiDB and FoldUnfold. As a criterion of reliability of predicting disordered regions, we have chosen comparison with the regions known from the 3D structures. Collection, data analysis and statistical analysis were performed using Python 3.3. and R version 3.2.0. For 23 G-proteins, the FoldUnfold program predicts loops with the average precision of 60-80%. It is seen that our program enables better prediction of loop positions than other programs. Statistically significant weak negative correlation exists between the average number of closed residues according to the FoldUnfold program and the Debye-Waller factors. Investigations of the G-proteins with the posttranslational modifications revealed additional flexible properties of the residues involved in the attachment of fatty acids. Our research demonstrates additional possibilities and the high prediction accuracy of the FoldUnfold program for prediction of flexible regions and characteristics of individual residues in different protein family.
AbstractList Unstructured regions in proteins can vary from several amino acid residues to a completely disordered sequence. Since such regions play an important role in the protein functioning, much attention is being paid to their prediction. Special different programs are available for this purpose; however, predictions obtained vary from protein to protein. In this article, our motivation is the investigation of the high prediction accuracy of flexible loops in G-proteins family with FoldUnfold program due to crucial functions associated with these regions. For prediction of loops in the G-proteins we used programs as RONN, DisEMBL, Glob- Plot2, IUPred, PONDR, FoldIndex, MobiDB and FoldUnfold. As a criterion of reliability of predicting disordered regions, we have chosen comparison with the regions known from the 3D structures. Collection, data analysis and statistical analysis were performed using Python 3.3. and R version 3.2.0. For 23 G-proteins, the FoldUnfold program predicts loops with the average precision of 60-80%. It is seen that our program enables better prediction of loop positions than other programs. Statistically significant weak negative correlation exists between the average number of closed residues according to the FoldUnfold program and the Debye-Waller factors. Investigations of the G-proteins with the posttranslational modifications revealed additional flexible properties of the residues involved in the attachment of fatty acids. Our research demonstrates additional possibilities and the high prediction accuracy of the FoldUnfold program for prediction of flexible regions and characteristics of individual residues in different protein family.
Author Deryusheva, Eugenia
Machulin, Andrey
Nemashkalova, Ekaterina
Glyakina, Anna
Galzitskaya, Oxana
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  givenname: Ekaterina
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  organization: Laboratory of molecular dynamics, Institute of Mathematical Problems of Biology - RAS, Keldysh Institute of Applied Mathematics of Russian Academy of Sciences, Pushchino, Moscow Region, Russian Federation
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  givenname: Oxana
  surname: Galzitskaya
  fullname: Galzitskaya, Oxana
  organization: Group of Bioinformatics, Institute of Protein Research, Russian Academy of Sciences, Pushchino, Moscow Region, Russian Federation
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Keywords posttranslational modifications
flexible regions
functional loops
Debye-Waller factor
G-proteins
FoldUnfold program
Language English
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Snippet Unstructured regions in proteins can vary from several amino acid residues to a completely disordered sequence. Since such regions play an important role in...
SourceID pubmed
SourceType Index Database
StartPage 589
SubjectTerms Algorithms
Amino Acids - chemistry
Databases, Protein
Fatty Acids - chemistry
GTP-Binding Proteins - chemistry
Models, Molecular
Protein Conformation
Protein Folding
Protein Processing, Post-Translational
Software
Title Search for Functional Flexible Regions in the G-protein Family: New Reading of the FoldUnfold Program
URI https://www.ncbi.nlm.nih.gov/pubmed/29929460
Volume 25
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