Fuzzy spherical truncation-based multi-linear protein descriptors: From their definition to application in structural-related predictions.

ABSTRACT: This study introduces a set of fuzzy spherically truncated three-dimensional (3D) multi-linear descriptors for proteins. These indices codify geometric structural information from kth spherically truncated spatial-(dis)similarity two-tuple and three-tuple tensors. The coefficients of these truncated tensors are calculated by applying a smoothing value to the 3D structural encoding based on the relationships between two and three amino acids of a protein embedded into a sphere. At considering, the geometrical center of the protein matches with center of the sphere, the distance between each amino acid involved in any specific interaction and the geometrical center of the protein can be computed. Then, the fuzzy membership degree of each amino acid from an spherical region of i

SUBMITTER: Contreras-Torres E 

PROVIDER: S-EPMC9585278 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature