ADEEL MALIK

With extensive experience in computational biology and bioinformatics, I possess a strong publication record and have led research in machine learning, microbial genomics, and genome mining. My expertise extends beyond research to include teaching, mentoring, and contributing to interdisciplinary curricula in the computational biology field.

• Editorial Board Member (2024~): BMC Bioinformatics
• Reviewer Board Member (2023~): Frontiers in Genetics
• Member Advisory committee of Association of Basic Medical Scientists (ABMS), PGIMER, Chandigarh (2010-2011)
• Vice President of Bioscience Subject Association*** (2003-2004) Jamia Millia Islamia
• General Secretary Bioscience Subject Association*** (2001-2002) Jamia Millia Islamia

***Bioscience Subject Association is a departmental association at University that organizes various scientific activities at University campus.

• Duration: June 2021–May 2024
• Budget: 70 Million KRW / Year (Approximately 50,660 USD / Year)
• Role: Principal Investigator (PI)
• Funding Organization: National Research Foundation (NRF) of Korea funded by the Ministry of Science and ICT.

(*Corresponding Authors; #Equal Contribution)

(For a full list of publications, books and chapters please visit: http://procarb.org/adeel)

• Ghosh A, Rathore A, Gaba S, Kamli MR, Maigoro AY, Kwon HW, Mahajan N, Kim CB*, Malik A*. The Chinese mitten crab (Eriocheir sinensis) and its microbiome: A Review. Aquaculture. 2025;595(1):741518.
• Malik A, Kamli MR, Sabir JSM, Rather IA, Le PT, Kim CB, Manavalan B. APLpred: A machine learning-based tool for accurate prediction and characterization of asparagine peptide lyases using sequence-derived optimal features. Methods. 2024;229:133-146.
• Pham NT, Rakkiyapan R, Park J, Malik A*, Manavalan B*. H2Opred: A Robust and Efficient Hybrid Deep Learning Model for Predicting 2'-OM-Methylation Sites in Human RNA. Briefings in Bioinformatics. 2023; 25(1).
• Malik A, Shoombuatong W, Kim CB, Manavalan B. GPApred: The first computational predictor for identifying proteins with LPXTG-like motif using sequence-based optimal features. Int J Biol Macromol. 2023; 229:529-538.
• Malik A, Subramaniyam S, Kim CB, Manavalan B. SortPred: The first machine learning based predictor to identify bacterial sortases and their classes using sequence-derived information. Computational and Structural Biotechnology Journal. 2022; 20:165-174.
• Wei L, He W, Malik A, Su R, Chui L, Manavalan B. Computational prediction and interpretation of cell-specific replication origin sites from multiple eukaryotes by exploiting stacking framework. Briefings in Bioinformatics. 2020; bbaa275.
• Malik A, Kim YR, Jang IH, Hwang S, Oh DC, Kim SB. Genome-based analysis for the bioactive potential of Streptomyces yeochonensis CN732, an acidophilic filamentous soil actinobacterium. BMC Genomics. 2020; 21:118.
• Malik A, Ahmad S. Sequence and structural features of carbohydrate binding in proteins and assessment of predictability using a neural network. BMC Struct Biol. 2007; 7(1):1.

• Speaker (General Symposium): 78th Korea Biological Science Association Annual Conference, Kangwon National University, South Korea 9-11th Aug 2023.
• Speaker (Young Scientist Forum): International Meeting of the Microbial Society of Korea, International Convention Center Jeju, South Korea, 17-19th Apr 2019.
• Speaker: Linux Primer for Biologists Workshop, Perdana University, Malaysia, 26 – 30th Oct 2015.
• Speaker: Bioinformatics Research and Education Opportunities, Perdana University Research Day, Perdana University, Malaysia, 11th Sept 2015.