|
|
|
|
Root mean square deviation
|
| |
|
| |
The root mean square deviation (RMSD) is the measure of the average distance between the backbones of superimposed proteins. In the study of globular protein conformations, one customarily measures the similarity in three-dimensional structure by the RMSD of the Cα atomic coordinates after optimal rigid body superposition.
When a dynamical system fluctuates about some well-defined average position the RMSD from the average over time can be referred to as the RMSF or root mean square fluctuation.

Discussion
Ask a question about 'Root mean square deviation'
Start a new discussion about 'Root mean square deviation'
Answer questions from other users
|
Encyclopedia
The root mean square deviation (RMSD) is the measure of the average distance between the backbones of superimposed proteins. In the study of globular protein conformations, one customarily measures the similarity in three-dimensional structure by the RMSD of the Cα atomic coordinates after optimal rigid body superposition.
When a dynamical system fluctuates about some well-defined average position the RMSD from the average over time can be referred to as the RMSF or root mean square fluctuation. The size of this fluctuation can be measured, eg using Mössbauer spectroscopy or nuclear magnetic resonance, and can provide important physical information. The Lindemann index is a method of placing the RMSF in the context of the parameters of the system.
A widely used way to compare the structures of biomolecules or solid bodies is to translate and rotate one structure with respect to the other to minimize the RMSD. Coutsias, et al. presented a simple derivation, based on quaternions, for the optimal solid body transformation (rotation-translation) that minimizes the RMSD between two sets of vectors. They proved that the quaternion method is equivalent to the well-known formula due to Kabsch.
The equation
where d is the distance between N pairs of equivalent atoms (usually Ca and sometimes C,N,O,Cß).
Normally a rigid superposition which minimizes the RMSD is performed, and this minimum is returned. Given two sets of points and , the RMSD is defined as follows:
An RMSD value is expressed in length units. The most commonly used unit in structural biology is the Ångström (Å) which is equal to 10–10m.
Uses
Typically RMSD is used to make a quantitative comparison between the structure of a partially folded protein and the structure of the native state. For example, the CASP protein structure prediction competition uses RMSD as one of its assessments of how well a submitted structure matches the native state.
Also some scientists who study protein folding simulations use RMSD as a reaction coordinate to quantify where the protein is between the folded state and the unfolded state.
See also
- Root mean square deviation
- Root mean square fluctuation
- Quaternion—used to optimise RMSD calculations
- Kabsch algorithm—an algorithm used to minimize the RMSD by first finding the best rotation
- — a tool for protein structure comparison. Uses RMSD.
- — a protein superposition server. Uses RMSD.
- — structural alignment based on secondary structure matching. By the CCP4 project. Uses RMSD.
- GDT — A different structure comparison measure
- TM-Score — A different structure comparison measure
- LCS — A different structure comparison measure
External links
- —a tutorial on how to calculate RMSD
- —another tutorial on how to calculate RMSD with example code
|
| |
|
|