Assignment of structural domains in proteins using diffusion kernels on graphs.

ABSTRACT: Though proposing algorithmic approaches for protein domain decomposition has been of high interest, the inherent ambiguity to the problem makes it still an active area of research. Besides, accurate automated methods are in high demand as the number of solved structures for complex proteins is on the rise. While majority of the previous efforts for decomposition of 3D structures are centered on the developing clustering algorithms, employing enhanced measures of proximity between the amino acids has remained rather uncharted. If there exists a kernel function that in its reproducing kernel Hilbert space, structural domains of proteins become well separated, then protein structures can be parsed into domains without the need to use a complex clustering algorithm. Inspired by this idea, we d

SUBMITTER: Taheri-Ledari M 

PROVIDER: S-EPMC9461149 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature