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Research Assistant at Genetic Engineering
Ask questions about Md. Oliullah Rafi's research, publications, and ongoing work
Developed a multi-epitope vaccine candidate against MERS-CoV using immunoinformatics approaches, published in Scientific Reports, demonstrating the potential of computational methods in vaccine design.
Employed a combination of QSAR, molecular docking, and molecular dynamics simulations to identify potential drug candidates against COVID-19, published in the Journal of Biomolecular Structure and Dynamics.
Studied the impact of prolonged COVID-19 lockdown on body mass index, eating habits, and physical activity of university students in Bangladesh, published in Frontiers in Nutrition.
Designed a multi-epitope vaccine against SARS-CoV-2 using immunoinformatic and computational methods, published in RSC Advances.
Performed an in silico evaluation of different flavonoids from medicinal plants for their potency against SARS-CoV-2, published in Biologics.
Conducted an in silico investigation of isoquinoline alkaloids for neurodegenerative diseases using computer-aided drug design, published in Journal of Biomolecular Structure and Dynamics.
Designed a subunit vaccine against pneumonia, targeting Streptococcus pneumoniae and Klebsiella pneumoniae, published in Network Modeling Analysis in Health Informatics and Bioinformatics.
Md. Oliullah Rafi is a computational biologist specializing in immunoinformatics and drug discovery, with a focus on developing vaccines and therapeutic strategies against infectious diseases, including COVID-19. His research leverages AI and machine learning to identify potential drug candidates and understand disease mechanisms.
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