EDTSurf statistics

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Citations per year

Number of citations per year for the bioinformatics software tool EDTSurf
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Tool usage distribution map

This map represents all the scientific publications referring to EDTSurf per scientific context
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Associated diseases

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Popular tool citations

chevron_left Tertiary structure prediction Protein-surface structure prediction Cavity detection chevron_right
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EDTSurf specifications

Information


Unique identifier OMICS_16795
Name EDTSurf
Software type Package/Module
Interface Command line interface
Restrictions to use None
Input data The protein structure, the specific options.
Output data The triangulated mesh surface, the atoms surrounding each cavity, the accessible surface area with respect to each residue, the depth with respect to each atom, the depth with respect to each residue.
Operating system Unix/Linux, Mac OS, Windows
Programming languages C++
Computer skills Advanced
Stability Stable
Maintained Yes

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Versioning


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Maintainer


  • person_outline Yang Zhang

Publications for EDTSurf

EDTSurf citation

library_books

Ab Initio structure prediction for Escherichia coli: towards genome wide protein structure modeling and fold assignment

2013
Sci Rep
PMCID: 3667494
PMID: 23719418
DOI: 10.1038/srep01895

[…] core on its own, which is constituted by the leucine (Leu), isoleucine (Ile) and valine (Val) residues.In , we plot the solvent accessibilities of the native structure and the model as calculated by EDTSurf, in comparison with the solvent accessibility prediction by neural network (NN) (Residues 1–24 missed in experimental structure are not shown). The average difference of solvent accessibility […]


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EDTSurf institution(s)
Bioinformatics and Systems Biology Program, Sanford-Burnham Medical Research Institute, San Diego, CA, USA; Integration Application Center, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China; Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
EDTSurf funding source(s)
The project is supported in part by the NSF Career Award (DBI 1027394), and the National Institute of General Medical Sciences (GM083107, GM084222).

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