ENM 1.0
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What is the DynOmics ENM server?
The DynOmics ENM server computes biomolecular systems dynamics for user-uploaded structural coordinates or PDB identifiers, by integrating two widely used elastic network models (ENMs) – the Gaussian Network Model (GNM) and the Anisotropic Network Model (ANM). Unique features include the consideration of environment, the prediction of potential functional sites and reconstruction of all-atom conformers from deformed coarse-grained structures. For more information see Theory and Tutorial.

PDB ID:   with biological assembly (unit): No Yes
     or upload a local file:
Chain ID: (e.g., A or AB, or leave blank for all chains)
help    Advanced options:
Model No.: (for NMR solved structures)
Cutoff distance (for GNM analysis only) (Å):
Spring constant scaling factor for contact distance ≤ 4.0 Å:   (sequential neighbors)
Distance scaling exponent (p) for spring constant: 
help    Considering Environment:
Email: (optional, except for PDB files with > 2,000 residues)

Load examples: 


Reference:  Li,H., Chang,YY, Lee,JY, Bahar,I. and Yang,LW. (2017) DynOmics: dynamics of structural proteome and beyond. Nucleic Acids Res., online published.


The server is maintained by Dr. Hongchun Li in the Bahar Lab at the Department of Computational & Systems Biology at the University of Pittsburgh, School of Medicine, and sponsored by the NIH awards #5R01GM099738-04 and #5P41GM103712-03 and the funding #104-2113-M-007-019 from MOST to the Yang lab at the National Tsing Hua University, Taiwan.

For questions and comments please contact Hongchun Li.