An improved method for protein similarity searching by alignment of fuzzy energy signatures

Describing protein structures in terms of their energy features can be a key to understand how proteins work and interact to each other in cellular reactions. This can be also a base to compare proteins and search protein similarities. In the paper, we present protein comparison by the alignment of protein energy signatures. In the alignment, components of energy signatures are represented as fuzzy numbers. This modification improves the decision making while establishing the alignment path and guarantees the approximate character of the method, at the same time. The effectiveness of the developed alignment algorithm is tested by incorporating it in the new FS-EAST method (Fuzzy Signatures–Energy Alignment Search Tool), which allows to seek structurally similar regions of proteins.