Comprehensive folding variations for protein folding. Issue 11 (26th May 2022)

• Record Type: Journal Article
• Authors: Yang, Jiaan; Cheng, Wen Xiang; Zhao, Xiao Fei; Wu, Gang; Sheng, Shi Tong; Hu, Qiyue; Ge, Hu; Qin, Qianshan; Jin, Xinshen; Zhang, Lianshan; Zhang, Peng
• Is Part Of: Proteins. Volume 90:Issue 11(2022)
• Page Start: 1851
• Page End: 1872
• Publication Date: 2022-05-26
• Subjects: alphabetic description -- folding conformation -- intrinsically disordered protein -- protein conformation -- protein folding -- protein structure prediction; Proteins -- Periodicals; Proteins -- Periodicals; 572.6
• DOI: 10.1002/prot.26381
• Languages: English
• ISSNs: 0887-3585

Abstract

Abstract: The revelation of protein folding is a challenging subject in both discovery and description. Except for acquirement of accurate 3D structure in protein stable state, another big hurdle is how to discover structural flexibility for protein innate character. Even if a huge number of flexible conformations are known, difficulty is how to represent these conformations. A novel approach, protein structure fingerprint, has been developed to expose the comprehensive local folding variations, and then construct folding conformations for entire protein. The backbone of five amino acid residues was identified as a universal folden, and then a set of Protein Folding Shape Code (PFSC) was derived for completely covering folding space in alphabetic description. Sequentially, a database was created to collect all possible folding shapes of local folding variations for all permutation of five amino acids. Successively, Protein Folding Variation Matrix (PFVM) assembled all possible local folding variations along sequence for a protein, which possesses several prominent features. First, it showed the fluctuation with certain folding patterns along sequence which revealed how the protein folding was related the order of amino acids in sequence. Second, all folding variations for an entire protein can be simultaneously apprehended at a glance within PFVM. Third, all conformations can be determined by local folding variations from PFVM, so total number of conformations is no longer ambiguous for any protein. Finally, the most possible folding conformation and its 3D structure can be acquired according PFVM for protein structure prediction. Therefore, the protein structure fingerprint approach provides a significant means for investigation of protein folding problem.