Hao Lin Hui Ding Research Scientist Students Postdoc Visiting Scholars Alumni Position

Hasan Zulfiqar Ph.D.

Hasan Zulfiqar is the Post Doctoral researcher at Center for Informational Biology and the Key Laboratory for NeuroInformation of Ministry of Education in UESTC (Superviser: Hao Lin). His research focus is pattern recognition of gene sequence function.

Personal Page:  Hasan Zulfiqar

E-mail: hasanzulfiqar66@gmail.com hasanzulfiqar@uestc.edu.cn


Education and Training

2022-Now Post Doc. in Bioinformatics, University of Electronic Science and Technology, Sichuan, China

2019-2022 Ph.D. in Bioinformatics, University of Electronic Science and Technology, Sichuan, China

2017-2019 M.S in Bioinformatics, Government College University Faisalabad, Punjab, Pakistan

2012-2016 B.S in Information Technology, Virtual University of Pakistan, Lahore, Punjab, Pakistan


Published Papers

1. Hasan Zulfiqar*, Ahmed Zahoor, Bakanina Kissanga Grace-Mercure, Farwa Hassan, Zhao-Yue Zhang*, Fen Liu ⃰. (2023) Computational prediction of promotors in Agrobacterium Tumefaciens Strain C58 by using machine learning technique. Frontiers in Microbiology, DOI:10.3389/fmicb.2023.1170785. (2021 IF: 6.064).

2. Hasan Zulfiqar, Zhiling Guo, Bakanina Kissanga Grace-Mercure, Zhao-Yue Zhang, Hui Gao*, Hao Lin*, Yun Wu ⃰. (2023) Empirical comparison and recent advances of computational prediction of hormone binding proteins using machine learning methods. Computational and Structural Biotechnology Journal, 21: 2253-2261. (2021 IF: 6.155).

3. Hasan Zulfiqar, Qin-Lai Huang, Hao Lv, Zi-Jie Sun, Fu-Ying Dao, Hao Lin ⃰. (2022) Deep-4mCGP: A deep learning approach to predict 4mC sites in Geobacter pickeringii by using correlation-based feature selection technique. International Journal of Molecular Sciences, DOI:10.3390/ijms23031251. (2021 IF: 6.208).

4. Hasan Zulfiqar, Zahoor Ahmed , Cai-Yi Ma, Rida Sarwar Khan, Bakanina Kissanga Grace-Mercure, Xiao-Long Yu ⃰ , Zhao-Yue Zhang ⃰. (2022) Comprehensive prediction of lipocalin proteins using artificial intelligence strategy. Frontiers in Bioscience-Landmark, 27(3): 84. (2020 IF: 4.009).

5. Hasan Zulfiqar, Zi-Jie Sun, Qin-Lai Huang, Shi-Shi Yuan, Hao Lv, Fu-Ying Dao, Hao Lin ⃰ , Yan-Wen Li ⃰ . (2022) Deep-4mCW2V: A sequence-based predictor to identify N4-methylcytosine sites in Escherichia coli. Methods, 203: 558-563. (2021 IF: 4.647).

6. Hasan Zulfiqar, Shi-Shi Yuan, Qin-Lai Huang, Zi-Jie Sun, Fu-Ying Dao, Xiao-Long Yu ⃰ , Hao Lin ⃰ . (2021) Identification of Cyclin Protein Using Gradient Boost Decision Tree Algorithm. Computational and Structural Biotechnology Journal, 19: 4123-4131. (2020 IF: 7.271).

7. Hasan Zulfiqar, Fu-Ying Dao, Hao Lv, Hui Yang, Peng Zhou, Wei Chen ⃰ , Hao Lin ⃰ . (2021) Identification of Potential Inhibitors Against SARS-Cov-2 Using Computational Drug Repurposing Study. Current Bioinformatics, 16: 1320-1327 (2020 IF: 3.543).

8. Hasan Zulfiqar, Rida Sarwar Khan, Farwa Hassan, Kyle Hippe, Cassandra Hunt, Hui Ding ⃰ , Xiao-Ming Song ⃰ , Renzhi Cao ⃰ . (2021) Computational identification of N4-methylcytosine sites in the mouse genome with machine-learning method. Mathematical Biosciences and Engineering, 18(4): 3348-3363 (2020 IF: 2.080).

9. Hasan Zulfiqar, Muhammad Shareef Masoud, Hui Yang, Shu-Guang Han ⃰ , Cheng-Yan Wu ⃰ , Hao Lin ⃰ . (2021) Screening of Prospective Plant Compounds as H1R and CL1R Inhibitors and Its Antiallergic Efficacy through Molecular Docking Approach. Computational and Mathematical Methods in Medicine, 1: 1-9. (2020 IF: 2.238).

10. Yan Lin *, Meili Sun, Junjie Zhang, Mingyan Li, Keli Yang, Chengyan Wu, Hasan Zulfiqar * Hongyan Lai ⃰.(2023) Computational identification of promotors in Klebsiella Aerogenes by using support vector machine. Frontiers in Microbiology, DOI: 10.3389/fmicb.2023.1170785. (2021 IF: 6.064).

11. Hao Lv, Fu-Ying Dao, Hasan Zulfiqar, Hao Lin ⃰ . (2021) DeepIPs: comprehensive assessment and computational identification of phosphorylation site of SARS-Cov-2 infection using a deep learning-based approach. Briefings in Bioinformatics, DOI: 10.1093/bib/bbab244. (2020 IF: 11.622).

12. Wei Su, Xue-Qin Xie, Xiao-Wei Liu, Dong Gao, Cai-Yi Ma, Hasan Zulfiqar, Hui Yang, Hao Lin*, Xiao-Long Yu*, Yan-Wen Li*. (2022) iRNA-ac4C: a novel computational method for effectively detecting N4-acetylcytidine sites in human mRNA. International Journal of Biological Macromolecules, 277: 1174-1181. (2021 IF: 8.025)

13. Hao Lv&, Fu-Ying Dao&, Hasan Zulfiqar, Wei Su, Hui Ding, Li Liu ⃰ , Hao Lin ⃰ . (2021) A sequence-based deep learning approach to predict CTCF-mediated chromatin loop. Briefings in Bioinformatics, DOI: 10.1093/bib/bbab031. (2020 IF: 11.626).

14. Ahmed Zahoor, Hasan Zulfiqar, Abdullah Aman Khan, Ijaz Gul, Fu-Ying Dao, Zhao-Yue Zhang, Xiao-Long Yu, and Lixia Tang⃰. (2022) iThermo: A Sequence-Based Model for Identifying Thermophilic Proteins Using a Multi-Feature Fusion Strategy. Frontiers in Microbiology, DOI: 10.3389/fmicb.2022.790063. (2022 IF: 6.046).

15. Fu-Ying Dao, Hao Lv, Hasan Zulfiqar, Hui Yang, Wei Su, Hui Gao, Hui Ding, Hao Lin ⃰ . (2021) A computational platform to identify origins of replication sites in eukaryotes. Briefings in Bioinformatics, DOI: 10.1093/bib/bbaa017. (2020 IF: 11.626).

16. Dan Zhang, Hua-Dong Chen, Hasan Zulfiqar, Shi-Shi Yuan, Qin-Lai Huang, Zhao-Yue Zhang ⃰ , Ke-Jun Deng ⃰ . (2021) iBLP: An XGBoost-Based Predictor for Identifying Bioluminescent Proteins. Computational and Mathematical Methods in Medicine, 2021:6664362. (2020 IF 2.238).

17. Zi-Mei Zhang, Jia-Shu Wang, Hasan Zulfiqar, Hao Lv, Fu-Ying Dao, Hao Lin ⃰ . (2020) Early diagnosis of pancreatic ductal adenocarcinoma by combining relative expression orderings with machine-learning method. Frontiers in Cell and Developmental Biology, 8: 582864. (2019 IF: 5.201).

18. Fu-Ying Dao&, Hao Lv&, Yu-He Yang, Hasan Zulfiqar, Hui Gao, Hao Lin ⃰ . (2020) Computational identification of N6-Methyladenosine sites in multiple tissues of mammals. Computational and structural Biotechnology Journal, 18: 1084-1091. (2019 IF: 6.018).

19. Hao Lv, Lei Shi, Joshua William Berkenpas, Fu-Ying Dao, Hasan Zulfiqar, Hui Ding, Yang Zhang ⃰ , Liming Yang ⃰ , Renzhi Cao ⃰ . Application of artificial intelligence and machine learning for COVID-19 drug discovery and vaccine design. Briefings in Bioinformatics, DOI: 10.1093/bib/bbab320. (2020 IF: 11.626).

20. Ahmed Zahoor, Hasan Zulfiqar, Lixia Tang, and Hao Lin ⃰. (2022) A Statistical Analysis of the Sequence and Structure of Thermophilic and Non-Thermophilic Proteins. International Journal of Molecular Sciences , 23(17): 10116. (2022 IF: 6.208).