ProteinAC: a frequency domain technique for analyzing protein dynamics
- 1. Department of Electrical and Electronics Engineering, Koc University, Sariyer, 34450 Istanbul (Turkey)
Description
It is widely believed that the interactions of proteins with ligands and other proteins are determined by their dynamic characteristics as opposed to only static, time-invariant processes. We propose a novel computational technique, called ProteinAC (PAC), that can be used to analyze small scale functional protein motions as well as interactions with ligands directly in the frequency domain. PAC was inspired by a frequency domain analysis technique that is widely used in electronic circuit design, and can be applied to both coarse-grained and all-atom models. It can be considered as a generalization of previously proposed static perturbation-response methods, where the frequency of the perturbation becomes the key. We discuss the precise relationship of PAC to static perturbation-response schemes. We show that the frequency of the perturbation may be an important factor in protein dynamics. Perturbations at different frequencies may result in completely different response behavior while magnitude and direction are kept constant. Furthermore, we introduce several novel frequency dependent metrics that can be computed via PAC in order to characterize response behavior. We present results for the ferric binding protein that demonstrate the potential utility of the proposed techniques. (paper)
Availability note (English)
Available from http://dx.doi.org/10.1088/1478-3975/aa9de2Additional details
Identifiers
Publishing Information
- Journal Title
- Physical Biology (Online)
- Journal Volume
- 15
- Journal Issue
- 2
- Journal Page Range
- [31 p.]
- ISSN
- 1478-3975
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 51083964
- Subject category
- S60: APPLIED LIFE SCIENCES;
- Descriptors DEI
- ELECTRONIC CIRCUITS; FREQUENCY DEPENDENCE; LIGANDS; PROTEINS
- Descriptors DEC
- ORGANIC COMPOUNDS