Effective DNA binding protein prediction by using key features via Chou’s general PseAAC

2019 ◽  
Vol 460 ◽  
pp. 64-78 ◽  
Author(s):  
Sheikh Adilina ◽  
Dewan Md Farid ◽  
Swakkhar Shatabda
2018 ◽  
Vol 452 ◽  
pp. 22-34 ◽  
Author(s):  
M. Saifur Rahman ◽  
Swakkhar Shatabda ◽  
Sanjay Saha ◽  
M. Kaykobad ◽  
M. Sohel Rahman

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Rianon Zaman ◽  
Shahana Yasmin Chowdhury ◽  
Mahmood A. Rashid ◽  
Alok Sharma ◽  
Abdollah Dehzangi ◽  
...  

DNA-binding proteins often play important role in various processes within the cell. Over the last decade, a wide range of classification algorithms and feature extraction techniques have been used to solve this problem. In this paper, we propose a novel DNA-binding protein prediction method called HMMBinder. HMMBinder uses monogram and bigram features extracted from the HMM profiles of the protein sequences. To the best of our knowledge, this is the first application of HMM profile based features for the DNA-binding protein prediction problem. We applied Support Vector Machines (SVM) as a classification technique in HMMBinder. Our method was tested on standard benchmark datasets. We experimentally show that our method outperforms the state-of-the-art methods found in the literature.


2021 ◽  
Vol 612 ◽  
pp. 113954
Author(s):  
Ronesh Sharma ◽  
Shiu Kumar ◽  
Tatsuhiko Tsunoda ◽  
Thirumananseri Kumarevel ◽  
Alok Sharma

2010 ◽  
Vol 222 (03) ◽  
Author(s):  
S Degen ◽  
S Kuhfittig-Kulle ◽  
JH Schulte ◽  
F Westermann ◽  
A Schramm ◽  
...  

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