DSSPcont statistics

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Citations per year

Number of citations per year for the bioinformatics software tool DSSPcont

Tool usage distribution map

This map represents all the scientific publications referring to DSSPcont per scientific context
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DSSPcont specifications


Unique identifier OMICS_19955
Name DSSPcont
Interface Web user interface
Restrictions to use None
Input data A protein.
Computer skills Basic
Stability No
Maintained No

Publication for DSSPcont

DSSPcont citations


Characterization of long and stable de novo single alpha helix domains provides novel insight into their stability

Sci Rep
PMCID: 5347031
PMID: 28287151
DOI: 10.1038/srep44341

[…] om myosin-6 and its K-only and R-only mutants (M6WT, M6K, M6R).Wordom was used to analyse the simulation trajectories. The secondary structure of the protein was assigned for each timeframe using the DSSPcont criteria. This was then used to calculate the helicity (or average helical fraction) of the protein overall. For the salt bridge analysis, the distance between Lys Nζ and the centroid of (Glu […]


Deciphering Dimerization Modes of PAS Domains: Computational and Experimental Analyses of the AhR:ARNT Complex Reveal New Insights Into the Mechanisms of AhR Transformation

PLoS Comput Biol
PMCID: 4905635
PMID: 27295348
DOI: 10.1371/journal.pcbi.1004981

[…] ary structure (SS) profiles were taken into account. For the target sequences the SS profile was predicted by using the PSIPRED webserver [,] while for the templates it was attributed by means of the DSSPcont algorithm []. The models were built using the MODELLER 9v8 software []. From each alignment 100 putative models were produced and ranked according to the DOPE distance-dependent statistical p […]


Computational Prediction of RNA Binding Proteins and Binding Sites

Int J Mol Sci
PMCID: 4661811
PMID: 26540053
DOI: 10.3390/ijms161125952

[…] ture (SS) provides local and geometric patterns, which can be obtained in two ways: One is that the protein structure is available and real SS could be calculated using SS assignment approach such as DSSPcont [,], the other is that the protein structure is unavailable and predicted SS could be obtained using SS predicted algorithm such as PSIPRED [,,]. SS has been employed as an encoding feature i […]


An Overview of the Prediction of Protein DNA Binding Sites

Int J Mol Sci
PMCID: 4394471
PMID: 25756377
DOI: 10.3390/ijms16035194

[…] cture prediction methods [,] (e.g., PSIPRED []); for a structural-based prediction, the SSS can be calculated from the corresponding structure through secondary structure assignment methods [] (e.g., DSSPcont []). Several studies have employed the SSS of a residue as the encoding information in the prediction of DNA–binding residues. Note that the secondary structure was not considered a particula […]


Stable Single α Helices Are Constant Force Springs in Proteins*

PMCID: 4183817
PMID: 25122759
DOI: 10.1074/jbc.M114.585679

[…] m and C-terminal carbonyl carbon atom (rNC)) of at least 8 nm had been reached. Wordom (version 21) was used to analyze the simulation trajectories (, ). Helicity values were calculated using Wordom “dsspcont” assignments of residue secondary structure. […]


Prediction of protein continuum secondary structure with probabilistic models based on NMR solved structures

BMC Bioinformatics
PMCID: 1386714
PMID: 16478545
DOI: 10.1186/1471-2105-7-68

[…] solution of a protein structure always provides a number of models with structural variation due, at least in part, to intrinsic motions of the protein []. Andersen and colleagues developed a scheme-DSSPCONT-where the secondary state probability distribution for each residue in a protein is estimated from the variation amongst an ensemble of NMR models of the protein. The DSSPCONT assignment thus […]

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DSSPcont institution(s)
CUBIC, Department of Biochemistry and Molecular Biophysics and 2 North East Structural Genomics Consortium (NESG), Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY, USA; BASF AG, Ludwigshafen, Germany; Structural Bioinformatics Group, Department of Biological Sciences, Imperial College, London, UK; Columbia University Center for Computational Biology and Bioinformatics (C2B2), Russ Berrie Pavilion, New York, NY, USA
DSSPcont funding source(s)
Supported by the grants 1-P50- GM62413-01 and RO1-GM63029-01 from the National Institute of Health (NIH).

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