Expose flexible conformations for intrinsically disordered protein

The folding conformation of native protein has flexibility in different degrees, which may bring difficulty in presenting the structures, and also it causes complexity in understanding the relationship between structure and functions. Although many methods and databases provide information for intrinsically disordered protein (IDP), they are mainly limited to determining the intrinsically disordered regions (IDR) lacking knowledge of possible folding patterns. To overcome the barrier, the protein structure fingerprint technology has been developed, which includes PFSC (Protein Folding Shape Code) (Yang, 2008) and PFVM (Protein Folding Variation Matrix) (Yang et al., 2022) algorithms as well as FiveFold (Yang et al., 2025) approach for protein structure prediction, which are able explicitly to expose the possible conformational structures for intrinsically disordered protein. Three proteins, human cellular tumor antigen P53, human alpha-synuclein, and human protamine-2, are taken as samples for demonstration of how to obtain their folding conformation structures for intrinsically disordered proteins. The folding features for intrinsically disordered proteins with given structures may be revealed by the alignment of PFSC strings, and the folding possibility for intrinsically disordered proteins without a given structure can be exhibited by the local folding variations in PFVM. Furthermore, the multiple conformational 3D structures for intrinsically disordered protein can be predicted by FiveFold approach, which provides a significant tool further to understand the intrinsic disorder of proteins.

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Publication Details

Journal
Current Research in Structural Biology
Published
2025-06-27
DOI
https://doi.org/10.1016/j.crstbi.2025.100170
Primary Topic
Health, Environment, Cognitive Aging
Type
article
Field-Weighted Citation Impact
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article

Expose flexible conformations for intrinsically disordered protein

S. Sheng, Xiaojia Chen, Jiaan Yang, Wen Xiang Cheng et al.
Current Research in Structural Biology
Health, Environment, Cognitive Aging
article

Expose flexible conformations for intrinsically disordered protein

S. Sheng, Xiaojia Chen, Jiaan Yang, Wen Xiang Cheng, Peng Zhang, Gang Wu, Jun Lin, Wenxin Ji, Qiong Shi
article en

Abstract

The folding conformation of native protein has flexibility in different degrees, which may bring difficulty in presenting the structures, and also it causes complexity in understanding the relationship between structure and functions. Although many methods and databases provide information for intrinsically disordered protein (IDP), they are mainly limited to determining the intrinsically disordered regions (IDR) lacking knowledge of possible folding patterns. To overcome the barrier, the protein structure fingerprint technology has been developed, which includes PFSC (Protein Folding Shape Code) (Yang, 2008) and PFVM (Protein Folding Variation Matrix) (Yang et al., 2022) algorithms as well as FiveFold (Yang et al., 2025) approach for protein structure prediction, which are able explicitly to expose the possible conformational structures for intrinsically disordered protein. Three proteins, human cellular tumor antigen P53, human alpha-synuclein, and human protamine-2, are taken as samples for demonstration of how to obtain their folding conformation structures for intrinsically disordered proteins. The folding features for intrinsically disordered proteins with given structures may be revealed by the alignment of PFSC strings, and the folding possibility for intrinsically disordered proteins without a given structure can be exhibited by the local folding variations in PFVM. Furthermore, the multiple conformational 3D structures for intrinsically disordered protein can be predicted by FiveFold approach, which provides a significant tool further to understand the intrinsic disorder of proteins.

Current Research in Structural BiologyVol. 10
Jinan University (CN), Shenzhen University (CN), Chinese Academy of Sciences (CN), University Town of Shenzhen (CN), Shanghai Genon Biological Products (China) (CN), Genetic Resources Center (JP), Shanghai Advanced Research Institute (CN), Shenzhen Institutes of Advanced Technology (CN), Shenzhen Technology University (CN), Viva Biotech (China) (CN), Huazhong University of Science and Technology (CN)
Openalex Percentile: Top 81%
Health, Environment, Cognitive Aging
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