FTIP: an accurate and efficient method for global protein surface comparison.

ABSTRACT:

Motivation

Global protein surface comparison (GPSC) studies have been limited compared to other research works on protein structure alignment/comparison due to lack of real applications associated with GPSC. However, the technology advances in cryo-electron tomography (CET) have made methods to identify proteins from their surface shapes extremely useful.

Results

In this study, we developed a new method called Farthest point sampling (FPS)-enhanced Triangulation-based Iterative-closest-Point (ICP) (FTIP) for GPSC. We applied it to protein classification using only surface shape information. Our method first extracts a set of feature points from protein surfaces using FPS and then uses a triangulation-based efficient ICP algorithm to align the feature points of the two protei

SUBMITTER: Zhang Y 

PROVIDER: S-EPMC7214043 | biostudies-literature | 2020 May

REPOSITORIES: biostudies-literature