Normal Mode Analysis of ARSA

Introduction

Normal Mode Analysis (NMA) is a very useful tool to analyse large-scale motions in proteins. There are two approaches. In the first approach, all-atoms were used to calculate the harmonic motions. As this procedure needs a lot of memory, the elastic network model was developed, which does not take all interactions into account. Like this the memory needed can be dramatically reduced and the method can be applied to larger proteins.
In this TASK, we apply different NMA methods to our protein ARSA to investigate the flexibility and motions of the structure.
For most methods, we were able generate animated pictures to visualise the results. We used gifsicle to generate the animated gifs:

gifsicle --delay=5 --loop --colors 256 *.gif > anim.gif

WEBnm@

WEBnm@ was developed by Hollup et al. in 2005 <ref> Hollup SM, Sælensminde G, Reuter N. (2005) WEBnm@: a web application for normal mode analysis of proteins BMC Bioinformatics </ref>

We used the default analysis of the webserver:

• http://apps.cbu.uib.no/webnma/home

Mode	Motion	Vecors	Displacement
mode 7
mode 8
mode 9
mode 10
mode 11
mode 12

ElNemo

Mode	Pymol animation	picture 1 from ElNemo	picture 2 from ElNemo	picture 3 from ElNemo	Fluctuations
Mode 7
Mode 8
Mode 9
Mode 10
Mode 11

Anisotropic Network Model web server

for file in *.png; do convert "$file" "$(basename $file .png).gif";done

	mode 1	mode 2	mode 3	mode 4	mode 5
Motion
Distance
Fluctuations

oGNM – Gaussian network model

http://ignm.ccbb.pitt.edu/ognm/1960654514/temp/index.htm

	mode 7	mode 8	mode 9	mode 10	mode 11
Motion
Fluctuations

Fluctuations of mode 7-11

Correlation of mode 1-20

Correlation of mode 7-11

NOMAD-Ref

NMA of ARSA

	mode 7	mode 8	mode 9	mode 10	mode 11
Motion
Distance

NMA of 1BPT

Temperature	mode	mode 8	mode 9	mode 10	mode 11
600K (all-atom)
2000K (all-atom)
Elastic Network