To clarify the randomness of protein sequences,we make a detailed analysis of a set of typical protein sequences representing each fold by using the nonlinear prediction method developed in nonlinear dynamics theory.N...To clarify the randomness of protein sequences,we make a detailed analysis of a set of typical protein sequences representing each fold by using the nonlinear prediction method developed in nonlinear dynamics theory.No deterministic structures are found in these protein sequences and this implies that they behave as random chains.We also explain the controversial results obtained in previous investigations.展开更多
We investigate the nonlinear correlations of protein sequences by using the nonlinear prediction method developed in nonlinear dynamical theory. It is found that a lot of protein sequences show strong nonlinear correl...We investigate the nonlinear correlations of protein sequences by using the nonlinear prediction method developed in nonlinear dynamical theory. It is found that a lot of protein sequences show strong nonlinear correlations and have deterministic structures. Further investigations show that the strong nonlinear correlations of these protein sequences are due to the symmetries of their tertiary structures. Furthermore, the correlation lengths of the sequences are related to the degrees of the symmetries. These results support the duplication mechanism of protein evolution and also reveal one aspect how amino acid sequences encode their spatial structures.展开更多
文摘To clarify the randomness of protein sequences,we make a detailed analysis of a set of typical protein sequences representing each fold by using the nonlinear prediction method developed in nonlinear dynamics theory.No deterministic structures are found in these protein sequences and this implies that they behave as random chains.We also explain the controversial results obtained in previous investigations.
文摘We investigate the nonlinear correlations of protein sequences by using the nonlinear prediction method developed in nonlinear dynamical theory. It is found that a lot of protein sequences show strong nonlinear correlations and have deterministic structures. Further investigations show that the strong nonlinear correlations of these protein sequences are due to the symmetries of their tertiary structures. Furthermore, the correlation lengths of the sequences are related to the degrees of the symmetries. These results support the duplication mechanism of protein evolution and also reveal one aspect how amino acid sequences encode their spatial structures.
