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).