Imran Zafar
University of Faisalabad
Research areas: Pharmacology, Toxicology and Pharmaceutics · Drug Discovery · Computational Drug Discovery Methods · Artificial Intelligence in Healthcare and Education · Artificial Intelligence in Healthcare
0000-0002-9246-0850
About
Imran Zafar, an accomplished professional with a solid background in bioinformatics and education, introduces himself as a highly motivated and skilled individual. Holding a BS (Hons.) and M.Phil in Bioinformatics, Imran has garnered extensive expertise in various areas, including computational drug discovery, structure-activity relationship studies, genomics, and the utilization of bioinformatics tools. His academic journey has equipped him with advanced skills in molecular docking analysis, MD simulation, drug designing, and genomics data analysis, particularly for precision medicine applications in cancer genomics and personalized cancer therapies. Imran Zafar academic pursuits, Imran has a rich teaching history, having served as a master trainer at QAED Lahore and an item developer at PEC Lahore. His contributions to curriculum development and teacher training at the district level underscore his commitment to educational development. Currently working as a Government Teacher in the Ministry of Education, Pakistan, Imran has actively participated in the Single National Curriculum (SNC) initiative, showcasing his dedication to advancing education.
Imran's research and internship experiences at esteemed institutions such as the Centre of Excellence in Molecular Biology (CEMB) and the University of Veterinary and Animal Sciences (UVAS), School of biological Science (SBS) Punjab have further refined his skills in computational and molecular biology. His strong foundation in molecular modelling, multi-omics analysis, and machine learning positions him as a valuable asset for contributing to advancements in bioinformatics and genomics. Imran Zafar has published multiple book chapters and research articles in Q1 journals through worldwide collaborations, Imran is confident that his diverse skill set and dedication to research and education make him an invaluable asset for collaborative projects. Eager to bring his expertise to a dynamic research environment, he aims to contribute significantly to the field of bioinformatics and genomics.
Employment
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University of Faisalabad Student
Education
Education history is unavailable.
Projects & Funding
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Publications (63)
- Phytochemicals in Alzheimer’s Disease Prevention and Management: Molecular Mechanisms, Therapeutic Potential, Translational Challenges, and Emerging Research Directions Save
- Polypharmacology of Pathway Crosstalk in Neurodegenerative Diseases: Chemical Modulation of Interconnected Signaling Networks Save
- Carbon Dots in Nanomedicine: Advanced Fabrication, Biomedical Applications, and Future Clinical Perspectives Save
- Next-Generation Artificial Intelligence Strategies for Mechanistic Cancer Target Discovery and Drug Development: A State-of-the-Art Review Save
- CRISPR-Cas9 and next-generation gene editing strategies for therapeutic intervention of neurodegenerative pathways in Alzheimer’s disease: a state-of-the-art review Save
- Informatics Approaches to Identify Potential Biomarkers for Breast Cancer Therapeutic Targets Using Microarray Data Save
- Combined 3D‐QSAR, Molecular Docking, Molecular Dynamics, and Retrosynthesis Analysis of Novel Covalent KRASG12C Inhibitors Save
- Evaluation of anti-diabetic potential of Fagonia indica leaf, seed, and flower extracts via phytochemical profiling, In Vitro, In Silico, and In Vivo approaches Save
- Genetic and Computational Insights into SERPINA1 rs17580 as a Susceptibility Biomarker for COPD Progression Save
- Genome-wide identification, in-silico characterization, and expression analysis of polygalacturonases in different fungal species Save
- Harnessing Deep Learning Models for Guide RNA Optimization and Off-Target Prediction in CRISPR Systems Save
- Precision therapeutic strategies for Alzheimer's disease: Amyloid β-targeted foundations and multimodal next-generation approaches Save
- GC-MS Analysis, Molecular Docking, Dynamics and ADMET Profiling of Algerian Origanum vulgare Essential Oil Compounds as Potential COVID-19 Inhibitors Save
- Identifying drug targets and evaluating KLK3-targeted inhibitors for prostate cancer using in-silico and in-vitro approaches Save
- In-Silico Analysis of Genetic Mutations in BRAF and PMS2 for Biomarker Discovery to Transform Colorectal Cancer Research Save
- A Novel Supramolecular Co-EDTA and Ni-Anderson Polyoxometalate Hybrid as a High-Performance Electrocatalyst for Alkaline Water Splitting Save
- Analysis of Machine Learning Algorithms for Real-Time Gallbladder Stone Identification from Ultrasound Images in Clinical Decision Support Systems Save
- Analysis of Machine Learning Algorithms for Real-Time Gallbladder Stone Identification from Ultrasound Images in Clinical Decision Support Systems (vol 18, 73, 2025) Save
- Bioinformatics approaches in upgrading microalgal oil for advanced biofuel production through hybrid ORF protein construction Save
- Comprehensive Genomic, Mutation, Phylogenetic, and Statistical Analysis of the Monkeypox Virus Across Multiple Countries Save