A signal processing method to explore similarity in protein flexibility

Citations of this article
Mendeley users who have this article in their library.


Understanding mechanisms of protein flexibility is of great importance to structural biology. The ability to detect similarities between proteins and their patterns is vital in discovering new information about unknown protein functions. A Distance Constraint Model (DCM) provides a means to generate a variety of flexibility measures based on a given protein structure. Although information about mechanical properties of flexibility is critical for understanding protein function for a given protein, the question of whether certain characteristics are shared across homologous proteins is difficult to assess. For a proper assessment, a quantified measure of similarity is necessary. This paper begins to explore image processing techniques to quantify similarities in signals and images that characterize protein flexibility. The dataset considered here consists of three different families of proteins, with three proteins in each family. The similarities and differences found within flexibility measures across homologous proteins do not align with sequence-based evolutionary methods.




Mirshahi, N., Vasilache, S., Ji, S. Y., Mottonen, J., Jacobs, D. J., & Najarian, K. (2010). A signal processing method to explore similarity in protein flexibility. Advances in Bioinformatics, 2010. https://doi.org/10.1155/2010/454671

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free