CNNsite specifications


Unique identifier OMICS_20077
Name CNNsite
Software type Application/Script
Interface Command line interface
Restrictions to use None
Input data A sequence.
Output data A neural network.
Operating system Unix/Linux
Computer skills Advanced
Stability Stable
Source code URL
Maintained Yes


No version available


  • person_outline Jiyun Zhou
  • person_outline Hongpeng Wang
  • person_outline Lin Gui
  • person_outline Qin Lu

Additional information

Publication for CNNsite

CNNsite citations


HMMBinder: DNA Binding Protein Prediction Using HMM Profile Based Features

Biomed Res Int
PMCID: 5706079
PMID: 29270430
DOI: 10.1155/2017/4590609

[…] like to mention several of them: DNABinder [], DNA-Prot [], iDNA-Prot [], iDNA-Prot|dis [], DBPPred [], iDNAPro-PseAAC [], PseDNA-Pro [], Kmer1 + ACC [], Local-DPP [], SVM-PSSM-DT [], PNImodeler [], CNNsite [], and BindUP []. Most of these methods have used sequence, profile, or structure based features. In structural feature based methods in the literature, features used were structural motifs, […]


iDNAProt ES: Identification of DNA binding Proteins Using Evolutionary and Structural Features

Sci Rep
PMCID: 5668250
PMID: 29097781
DOI: 10.1038/s41598-017-14945-1

[…] to train their model. Wei et al. proposed Local-DPP by using Random Forest classifier on local pseudo position specific scoring matrix features. Among other recent works are SVM-PSSM-DT, PNImodeler, CNNsite, BindUP, etc.One of the most important but also most difficult problems in computational biology is how to express a biological sequence with a discrete model or a vector, yet still keep consi […]

CNNsite institution(s)
School of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China; Department of Computing, Hong Kong Polytechnic University, Hung Hom, Hong Kong
CNNsite funding source(s)
Supported by the National Natural Science Foundation of China 61370165, 61632011, National 863 Program of China 2015AA015405, Shenzhen Peacock Plan Research Grant KQCX20140521144507925 and Shenzhen Foundational Research Funding JCYJ20150625142543470, Guangdong Provincial Engineering Technology Research Center for Data Science 2016KF09 and HK Polytechnic Universitys graduate student grant: PolyU-RUDD.

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