Prediction of apoptosis protein subcellular location based on position-specific scoring matrix and isometric mapping algorithm-Reference-Cited by-同舟云学术

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Prediction of apoptosis protein subcellular location based on position-specific scoring matrix and isometric mapping algorithm

Published:2019-10-16 Issue:12 Volume:57 Page:2553-2565
ISSN:0140-0118
Container-title:Medical & Biological Engineering & Computing
language:en
Short-container-title:Med Biol Eng Comput

Author:

Ruan Xiaoli,Zhou Dongming,Nie Rencan,Hou Ruichao,Cao Zicheng

Funder

National Natural Science Foundation of China

the 10th Research Innovation Project of Yunnan University of China

Yunnan Province University Key Laboratory Construction Plan Funding, China.

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Biomedical Engineering

Link

http://link.springer.com/content/pdf/10.1007/s11517-019-02045-3.pdf

Reference50 articles.

1. Zhou GP, Doctor K (2003) Subcellular location prediction of apoptosis proteins, Proteins Struct. Funct Genet 50(1):44–48

2. Chen YL, Li QZ (2007) Prediction of the subcellular location of apoptosis proteins. J Theor Biol 245(4):775–783

3. Kuo HH, Ahmad R, Lee GQ, Gao C, Chen HR, Ouyang Z, Szucs MJ, Kim D, Tsibris A, Chun TW, Battivelli E, Verdin E, Rosenberg ES, Carr SA, Yu XG, Lichterfeld M (2018) Anti-apoptosis protein BIRC5 maintains survival of HIV-1-infected CD4 + T cells. Immunity 48(6):1183–1194

4. Pohl SO, Aqositino M, Dhamarajan A et al (2018) Crosstalk between cellular redox state and the anti-apoptosis protein Bcl-2. Antioxid Redox Signal 29(13):1215–1236

5. Hasan MA, Ahmad S, Molla MK (2017) Protein subcellular localization prediction using multiple kernel learning based support vector machine. Mol BioSyst 13(4):785–795

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3. Subcellular location prediction of apoptosis proteins using two novel feature extraction methods based on evolutionary information and LDA;BMC Bioinformatics;2020-05-24

4. Predictions of Apoptosis Proteins by Integrating Different Features Based on Improving Pseudo-Position-Specific Scoring Matrix;BioMed Research International;2020-01-14

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