Researcher , Abdul Wali khan university Mardan , Pakistan
Syed Luqman Ali 🇵🇰 is a passionate computational biologist and lecturer dedicated to vaccine design, drug discovery, and cancer biomarker research. With a strong foundation in bioinformatics, immunoinformatics, and proteomics, he actively contributes to tackling infectious diseases and cancer 🎯. Currently serving as a part-time lecturer at Metanoia College 🧑🏫 and a Research Associate at Abdul Wali Khan University Mardan 🏛️, Syed thrives in multidisciplinary collaboration. His research integrates molecular modeling, machine learning, and systems biology tools 🧠. A proactive scholar, reviewer, and content creator ✍️, he aims to shape the future of next-generation therapeutics and public health solutions. 💊🧪.
Professional Profile
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Education & Experience
Syed Luqman Ali earned an MPhil and BS in Biochemistry from Abdul Wali Khan University Mardan 📘, with research focusing on cancer biomarkers, machine learning, and vaccine design 💡. He also holds a diploma in Digital Information Technology from Peshawar 🖥️. As a part-time lecturer 🧑🏫 at Metanoia College, he teaches bioinformatics, microbiology, and molecular biology. His role as a Research Associate at AWKUM involves in silico vaccine and drug development, proteomic analysis, and transcriptomics 🧬. With hands-on experience in wet-lab and computational techniques, Syed combines education and research to drive innovation in biomedical sciences 🧫🔍.
Professional Development
Syed Luqman Ali has actively pursued continuous development through global certifications and tech training 🎓. He holds a TEFL certificate for English proficiency, alongside certifications in R, Python, and Linux for data analysis 📊💻. His technical toolkit includes ClusPro, Gromacs, PyRx, AutoDock, Pymol, and SWISS-MODEL for molecular modeling 🧪. He’s completed workshops on vaccine development, health safety 🧤, and academic research via the Web of Science Academy 🌐. Syed also gained skills in scientific writing and digital communication ✍️ via DigiSkills. His proactive learning attitude reflects a commitment to excellence in computational biology and medical research 🌟🧠.
Research Focus
Syed Luqman Ali’s research centers around computational vaccine and drug design 💉🧬, cancer biomarker discovery, and systems biology. He applies immunoinformatics, proteomics, and transcriptomics to develop novel therapeutics targeting infectious diseases and tumors 🎯. Skilled in docking, molecular dynamics, and HLA ligand prediction, Syed integrates tools like ClusPro, Gromacs, and Desmond in his workflows 💻🧪. His work spans gene expression profiling, KEGG pathway analysis, and in silico screening, enabling precision biomedicine 🧠. Through interdisciplinary methods and machine learning applications 🤖, he contributes to next-gen innovations in health, disease resistance, and therapeutic development 🚀.
Awards & Honors
Syed Luqman Ali has received notable accolades, including the Young Scientist Award 🏆 for his outstanding contributions to biomedical research. He has published multiple papers in Q1 and Q2 peer-reviewed journals 📰 and serves as a reviewer for respected journals such as Frontiers in Immunology, World Journal of Gastroenterology, and Applied Biochemistry & Biotechnology 🧑🔬. Syed’s interdisciplinary research has gained international recognition, particularly in cancer diagnostics and computational vaccine development 🌍. With a strong publication record, teaching excellence, and peer-review activities 🧑🏫, he stands out as a rising star in bioinformatics and translational research 🔬🎖️.
Publication Top Notes
1. Vaccinomics-based Next-Generation Multi-Epitope Chimeric Vaccine Models Prediction Against Leishmania tropica
Authors: S Aiman, A Ahmad, AA Khan, AM Alanazi, A Samad, SL Ali, et al.
Journal: Frontiers in Immunology, Vol. 14, 2023 | Cited by: 27
Summary: This study applied subtractive proteomics and immunoinformatics to develop multi-epitope vaccine constructs targeting Leishmania tropica. The proposed vaccines were validated via molecular docking, highlighting their therapeutic potential.
2. Mutational Screening of GDAP1 in Dysphonia Associated with Charcot-Marie-Tooth Disease
Authors: U Manzoor, A Ali, SL Ali, et al.
Journal: Journal of Genetic Engineering and Biotechnology, 21(1):119, 2023 | Cited by: 26
Summary: Focuses on GDAP1 gene mutations in patients with Charcot-Marie-Tooth disease and associated dysphonia. Findings provide insight into phenotype-genotype correlations in neuropathic disorders.
3. Genomic Annotation and Immunoinformatics-Guided Vaccine Design Against Songling Virus
Authors: SL Ali, A Ali, A Alamri, M Dusmagambetov, et al.
Journal: Frontiers in Immunology, Vol. 14, 2023 | Cited by: 21
Summary: This work involves screening the entire genome of the Songling virus to identify novel vaccine targets and construct a computational multi-epitope vaccine using reverse vaccinology.
4. Biological Modalities in Diabetes Management – A Comprehensive Review
Authors: A Ali, U Manzoor, SL Ali, et al.
Journal: Journal of Population Therapeutics & Clinical Pharmacology, 30(18), 2948–70, 2023 | Cited by: 11
Summary: Reviews current and future bio-based therapies for various types of diabetes, including peptide therapies, gene editing, and stem cell interventions.
5. IgG Antibodies and Their Role in Food Tolerance & Autoimmune Disorders
Authors: A Ali, U Manzoor, SL Ali, et al.
Journal: Int. J. of Natural Medicine and Health Sciences, 3(1), 2023 | Cited by: 10
Summary: Investigates how IgG antibodies and their receptors influence food tolerance and autoimmune responses, with potential implications in immunodiagnostics.
6. AI-Powered Tuberculosis Vaccine Candidate Development
Authors: L Zhuang, A Ali, SL Ali, et al.
Journal: Infectious Medicine, 3(4):100148, 2024 | Cited by: 7
Summary: Integrates AI and CAD to design next-gen multi-epitope vaccines targeting tuberculosis. Emphasizes structural modeling and immune simulation workflows.
7. ZL9810L: A Bioinformatics-Based Tuberculosis Vaccine Model
Authors: L Zhuang, Y Zhao, SL Ali, et al.
Journal: Decoding Infection and Transmission, 2, 100026, 2024 | Cited by: 6
Summary: Introduces the ZL9810L vaccine through immunoinformatics pipelines. Covers antigenicity prediction, MHC binding, and molecular docking validation.
Conclusion
Syed Luqman Ali exemplifies the spirit of the Excellence in Research Award through his impactful research, global collaborations, and integration of next-generation technologies in biomedical science. His publications, reviewer roles, and scientific rigor highlight a career devoted to innovation and advancement in health research. He is not only highly deserving but also an emerging leader in the fields of computational biology and immunoinformatics.