Abstract
The structural analysis of linear chains of arbitrary fixed shape is discussed in the context of a spectral approach. The shape of the chain is characterized by a set of scalar and pseudoscalar invariants, which remain constant under translations and rotations. The statistical properties of the set of invariants are compared with the analogous characteristics for a freely linked chain. The proposed criteria have the self-averaging property for relatively short (∼100–300 links) chains and can be used to discern possible latent periodicities and symmetries in a system. As examples, two applications of the theory are considered: the structural analysis of chains generated by random walks on a cubic lattice and protein Cα backbones.
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Zh. Éksp. Teor. Fiz. 116, 620–635 (August 1999)
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Lobzin, V.V., Chechetkin, V.R. Regularity criteria for linear chains. J. Exp. Theor. Phys. 89, 331–338 (1999). https://doi.org/10.1134/1.558988
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DOI: https://doi.org/10.1134/1.558988