- About this Journal ·
- Abstracting and Indexing ·
- Advance Access ·
- Aims and Scope ·
- Annual Issues ·
- Article Processing Charges ·
- Articles in Press ·
- Author Guidelines ·
- Bibliographic Information ·
- Citations to this Journal ·
- Contact Information ·
- Editorial Board ·
- Editorial Workflow ·
- Free eTOC Alerts ·
- Publication Ethics ·
- Reviewers Acknowledgment ·
- Submit a Manuscript ·
- Subscription Information ·
- Table of Contents
BioMed Research International
Volume 2013 (2013), Article ID 701317, 13 pages
iEzy-Drug: A Web Server for Identifying the Interaction between Enzymes and Drugs in Cellular Networking
1Computer Department, Jing-De-Zhen Ceramic Institute, Jing-De-Zhen 333046, China
2Information School, ZheJiang Textile & Fashion College, NingBo 315211, China
3Gordon Life Science Institute, Belmont, MA 02478, USA
4Center of Excellence in Genomic Medicine Research (CEGMR), King Abdulaziz University, Jeddah, Saudi Arabia
Received 7 August 2013; Accepted 17 September 2013
Academic Editor: Tatsuya Akutsu
Copyright © 2013 Jian-Liang Min et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Citations to this Article [33 citations]
The following is the list of published articles that have cited the current article.
- Yongchun Zuo, Pengfei Zhang, Li Liu, Tao Li, Yong Peng, Guangpeng Li, and Qianzhong Li, “Sequence-specific flexibility organization of splicing flanking sequence and prediction of splice sites in the human genome,” Chromosome Research, vol. 22, no. 3, pp. 321–334, 2014.
- Thy-Hou Lin, and Tsung-Lin Tsai, “Constructing a linear QSAR for some metabolizable drugs by human or pig flavin-containing monooxygenases using some molecular features selected by a genetic algorithm trained SVM,” Journal of Theoretical Biology, vol. 356, pp. 85–97, 2014.
- Avijit Podder, Nidhi Jatana, and N. Latha, “Human Dopamine Receptors Interaction Network (DRIN): A systems biology perspective on topology, stability and functionality of the network,” Journal of Theoretical Biology, vol. 357, pp. 169–183, 2014.
- Angelo Pavesi, “Prediction of the determinants of thermal stability by linear discriminant analysis: The case of the glutamate dehydrogenase protein family,” Journal of Theoretical Biology, vol. 357, pp. 160–168, 2014.
- Yasser B. Ruiz-Blanco, Yovani Marrero-Ponce, Pablo J. Prieto, Jesús Salgado, Yamila García, and Clivia M. Sotomayor-Torres, “A Hooke's law-based approach to protein folding rate,” Journal of Theoretical Biology, 2014.
- Bin Liu, Jinghao Xu, Xun Lan, Ruifeng Xu, Jiyun Zhou, Xiaolong Wang, and Kuo-Chen Chou, “iDNA-Prot vertical bar dis: Identifying DNA-Binding Proteins by Incorporating Amino Acid Distance-Pairs and Reduced Alphabet Profile into the General Pseudo Amino Acid Composition,” Plos One, vol. 9, no. 9, 2014.
- Yan Xu, Xin Wen, Li-Shu Wen, Ling-Yun Wu, Nai-Yang Deng, and Kuo-Chen Chou, “iNitro-Tyr: Prediction of Nitrotyrosine Sites in Proteins with General Pseudo Amino Acid Composition,” Plos One, vol. 9, no. 8, 2014.
- Tilahun Melak, and Sunita Gakkhar, “Potential non homologous protein targets of mycobacterium tuberculosis H37Rv identified from protein-protein interaction network,” Journal of Theoretical Biology, 2014.
- Jian Zhang, Pingping Sun, Xiaowei Zhao, and Zhiqiang Ma, “PECM: Prediction of extracellular matrix proteins using the concept of Chou’s pseudo amino acid composition,” Journal of Theoretical Biology, 2014.
- Wei Chen, Peng-Mian Feng, En-Ze Deng, Hao Lin, and Kuo-Chen Chou, “iTIS-PseTNC: a sequence-based predictor for identifying translation initiation site in human genes using pseudo trinucleotide composition,” Analytical Biochemistry, 2014.
- Liqi Li, Sanjiu Yu, Weidong Xiao, Yongsheng Li, Maolin Li, Lan Huang, Xiaoqi Zheng, Shiwen Zhou, and Hua Yang, “Prediction of bacterial protein subcellular localization by incorporating various features into Chou's PseAAC and a backward feature selection approach,” Biochimie, 2014.
- Jiao T. Wang, Wei Liu, Hailin Tang, and Hongwei Xie, “Screening drug target proteins based on sequence information,” Journal of Biomedical Informatics, vol. 49, pp. 269–274, 2014.
- Loris Nanni, Alessandra Lumini, and Sheryl Brahnam, “A set of descriptors for identifying the protein–drug interaction in cellular networking,” Journal of Theoretical Biology, 2014.
- Mohammad Reza Bakhtiarizadeh, Mohammad Moradi-Shahrbabak, Mansour Ebrahimi, and Esmaeil Ebrahimie, “Neural network and SVM classifiers accurately predict lipid binding proteins, irrespective of sequence homology,” Journal of Theoretical Biology, 2014.
- Yan Xu, Xin Wen, Xiao-Jian Shao, Nai-Yang Deng, and Kuo-Chen Chou, “iHyd-PseAAC: Predicting Hydroxyproline and Hydroxylysine in Proteins by Incorporating Dipeptide Position-Specific Propensity into Pseudo Amino Acid Composition,” International Journal of Molecular Sciences, vol. 15, no. 5, pp. 7594–7610, 2014.
- Sukanta Mondal, and Priyadarshini P. Pai, “Chou's pseudo amino acid composition improves sequence-based antifreeze protein prediction,” Journal of Theoretical Biology, 2014.
- Shuyan Ding, Shoujiang Yan, Shuhua Qi, Yan Li, and Yuhua Yao, “A protein structural classes prediction method based on PSI-BLAST profile,” Journal of Theoretical Biology, 2014.
- James Lyons, Alok Sharma, Abdollah Dehzangi, and Kuldip K. Paliwal, “Protein Fold Recognition by Alignment of Amino Acid Residues Using Kernelized Dynamic Time Warping,” Journal of Theoretical Biology, 2014.
- Yue-Nong Fan, Xuan Xiao, Jian-Liang Min, and Kuo-Chen Chou, “iNR-Drug: Predicting the Interaction of Drugs with Nuclear Receptors in Cellular Networking,” International Journal of Molecular Sciences, vol. 15, no. 3, pp. 4915–4937, 2014.
- Shao-Wu Zhang, Li-Yang Hao, and Ting-He Zhang, “Prediction of Protein–Protein Interaction with Pairwise Kernel Support Vector Machine,” International Journal of Molecular Sciences, vol. 15, no. 2, pp. 3220–3233, 2014.
- Jing Chen, Yuan Yan Tang, C. L. Philip Chen, Bin Fang, Yuewei Lin, and Zhaowei Shang, “Multi-Label Learning With Fuzzy Hypergraph Regularization for Protein Subcellular Location Prediction,” Ieee Transactions On Nanobioscience, vol. 13, no. 4, pp. 438–447, 2014.
- Shibiao Wan, Man-Wai Mak, and Sun-Yuan Kung, “R3P-Loc: A compact multi-label predictor using ridge regression and random projection for protein subcellular localization,” Journal of Theoretical Biology, vol. 360, pp. 34–45, 2014.
- Xiao Chen, Qinke Peng, Libin Han, Tao Zhong, and Tao Xu, “An effective haplotype assembly algorithm based on hypergraph partitioning,” Journal of Theoretical Biology, vol. 358, pp. 85–92, 2014.
- L. C. B. Faria, A. S. L. Rocha, and R. Palazzo, “Transmission of intra-cellular genetic information: A system proposal,” Journal of Theoretical Biology, vol. 358, pp. 208–231, 2014.
- Lei Yang, Yingli Lv, Tao Li, Yongchun Zuo, and Wei Jiang, “Human proteins characterization with subcellular localizations,” Journal of Theoretical Biology, vol. 358, pp. 61–73, 2014.
- Wang-Ren Qiu, Xuan Xiao, and Kuo-Chen Chou, “iRSpot-TNCPseAAC: Identify Recombination Spots with Trinucleotide Composition and Pseudo Amino Acid Components,” International Journal of Molecular Sciences, vol. 15, no. 2, pp. 1746–1766, 2014.
- Hui Ding, En-Ze Deng, Lu-Feng Yuan, Li Liu, Hao Lin, Wei Chen, and Kuo-Chen Chou, “iCTX-Type: A Sequence-Based Predictor for Identifying the Types of Conotoxins in Targeting Ion Channels,” BioMed Research International, vol. 2014, pp. 1–10, 2014.
- Jie Zhang, Guanghua Wang, Jian Feng, LiJuan Zhang, and Jue Li, “Identifying ion channel genes related to cardiomyopathy using a novel decision forest strategy,” Molecular Biosystems, vol. 10, no. 9, pp. 2407–2414, 2014.
- Hui Ding, Peng-Mian Feng, Wei Chen, and Hao Lin, “Identification of bacteriophage virion proteins by the ANOVA feature selection and analysis,” Molecular Biosystems, vol. 10, no. 8, pp. 2229–2235, 2014.
- Yan Xu, Ya-Xin Ding, Jun Ding, Ling-Yun Wu, and Nai-Yang Deng, “Phogly-PseAAC: Prediction of lysine phosphoglycerylation in proteins incorporating with position-specific propensity,” Journal of Theoretical Biology, 2015.
- Jaber Nasiri, Mohammad Reza Naghavi, Amir Hossein Kayvanjoo, Mojtaba Nasiri, and Mansour Ebrahimi, “Precision assessment of some supervised and unsupervised algorithms for genotype discrimination in the genus pisum using SSR molecular data,” Journal of Theoretical Biology, 2015.
- Bin Liu, Jinghao Xu, Shixi Fan, Ruifeng Xu, Jiyun Zhou, and Xiaolong Wang, “PseDNA-Pro: DNA-Binding Protein Identification by Combining Chou's PseAAC and Physicochemical Distance Transformation,” Molecular Informatics, vol. 34, no. 1, pp. 8–17, 2015.
- Bin Liu, Longyun Fang, Junjie Chen, Fule Liu, and Xiaolong Wang, “miRNA-dis: microRNA precursor identification based on distance structure status pairs,” Molecular Biosystems, vol. 11, no. 4, pp. 1194–1204, 2015.