Recent Advancement in Predicting Subcellular Localization of Mycobacterial Protein with Machine Learning Methods
| Autor: | Zheng-Xing Guan, Zi-Mei Zhang, Jian Huang, Wuritu Yang, Hao Lin, Shi-Hao Li, Dan Zhang |
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| Rok vydání: | 2020 |
| Předmět: |
0303 health sciences
Protein function Tuberculosis Computational Biology Feature selection Mycobacterium tuberculosis Computational biology Biology medicine.disease Subcellular localization biology.organism_classification Machine Learning 03 medical and health sciences Prediction algorithms 0302 clinical medicine Data sequences Bacterial Proteins 030220 oncology & carcinogenesis Drug Discovery medicine 030304 developmental biology |
| Zdroj: | Medicinal Chemistry. 16:605-619 |
| ISSN: | 1573-4064 |
| Popis: | Mycobacterium tuberculosis (MTB) can cause the terrible tuberculosis (TB), which is reported as one of the most dreadful epidemics. Although many biochemical molecular drugs have been developed to cope with this disease, the drug resistance—especially the multidrug-resistant (MDR) and extensively drug-resistance (XDR)—poses a huge threat to the treatment. However, traditional biochemical experimental method to tackle TB is time-consuming and costly. Benefited by the appearance of the enormous genomic and proteomic sequence data, TB can be treated via sequence-based biological computational approach-bioinformatics. Studies on predicting subcellular localization of mycobacterial protein (MBP) with high precision and efficiency may help figure out the biological function of these proteins and then provide useful insights for protein function annotation as well as drug design. In this review, we reported the progress that has been made in computational prediction of subcellular localization of MBP including the following aspects: 1) Construction of benchmark datasets. 2) Methods of feature extraction. 3) Techniques of feature selection. 4) Application of several published prediction algorithms. 5) The published results. 6) The further study on prediction of subcellular localization of MBP. |
| Databáze: | OpenAIRE |
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