enDNA-Prot specifications


Unique identifier OMICS_11966
Name enDNA-Prot
Interface Web user interface
Restrictions to use None
Input data Protein sequences
Input format FASTA
Computer skills Basic
Stability Stable
Maintained Yes


  • person_outline Bin Liu <>

Publication for enDNA-Prot

enDNA-Prot in publications

PMCID: 5930480
PMID: 29380690
DOI: 10.2174/1386207321666180130100838

[…] pseaac based svm (support vector machine) model was developed to identify dna-binding proteins. experiment results showed that our method performed better than dnabinder, dna-prot, idna-prot and endna-prot by 3.29-10.44% in terms of acc, 0.056-0.206 in terms of mcc, and 1.45-15.76% in terms of f1m. when the benchmark dataset was expanded with negative samples, the presented approach […]

PMCID: 5002159
PMID: 27565741
DOI: 10.1186/s12859-016-1201-8

[…] which is almost 4 times faster by computing 6 fireflies concurrently.fig. 7, in recent years, several methods were proposed to identify dbps. these methods included dnabinder [], idna-prot [], endna-prot [], ndna-prot [], dbppred [], dbd-threader [] and zou’s method []. among these methods, dnabinder, idna-prot, endna-prot, ndna-prot, dbppred and zou’s method were sequence-based methods. […]

To access a full list of publications, you will need to upgrade to our premium service.

enDNA-Prot institution(s)
School of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, Guangdong, China; Key Laboratory of Network Oriented Intelligent Computation, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, Guangdong, China; Shanghai Key Laboratory of Intelligent Information Processing, Shanghai, China; Gordon Life Science Institute, Belmont, MA, USA; PKU-HKUST ShenZhen-Hong Kong Institution, Shenzhen, Guangdong, China; Peking University Shenzhen Graduate School, Shenzhen, Guangdong, China; School of Engineering & Applied Science, Aston University, Birmingham, UK; School of Information Science and Technology, Xiamen University, Xiamen, Fujian, China
enDNA-Prot funding source(s)
This work was supported by the National Natural Science Foundation of China (no. 61300112, 61370165), the Natural Science Foundation of Guangdong Province (no. S2012040007390, S2013010014475), the Scientific Research Innovation Foundation in Harbin Institute of Technology (HIT.NSRIF.2013103), the Shanghai Key Laboratory of Intelligent Information Processing, China (no. IIPL-2012-002), the Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry, MOE Specialized Research Fund for the Doctoral Program of Higher Education 20122302120070, Open Projects Program of National Laboratory of Pattern Recognition, Shenzhen Foundational Research Funding JCYJ20120613152557576, Shenzhen International Co-Operation Research Funding GJHZ20120613110641217, Strategic Emerging Industry Development Special Funds of Shenzhen (ZDSY20120613125401420 and JCYJ20120613151940045), and the Key Basic Research Foundation of Shenzhen (JC201005260118A).

enDNA-Prot reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review enDNA-Prot