Assist. Prof. Dr Siddiq Ur Rahman, Medical Big Data Center, Guangdong Provincial People’s Hospital, Guangdong Academy Of Medical Sciences, Southern Medical University, Guangzhou, Guangdong Province, China
Dr. Sufian Ullah Rahman is a distinguished bioinformatics researcher from Pakistan with a passion for computational biology. He holds a Ph.D. in Bioinformatics (2015-2018) and an M.Sc. (Hons) in Biochemistry and Molecular Biology (2013-2015) from Northwest A&F University, China. His expertise spans codon usage bias, viral genomics, and computational drug design. Dr. Rahman has contributed extensively to scientific research with numerous high-impact publications in peer-reviewed journals. He has received prestigious awards, including the Best Lecture Award from The Genetics Society of Korea (2018). Additionally, he has proficiency in bioinformatics tools, programming, and molecular biology techniques. Beyond research, he has an exceptional academic record and has been recognized with multiple scholarships. His commitment to advancing bioinformatics, coupled with his strong analytical skills, has positioned him as a key contributor to the field of computational biology. Dr. Rahman continues to explore innovative solutions to complex biological challenges.
Publication Profile
scopus
Education
Dr. Sufian Ullah Rahman has a strong academic background in bioinformatics and molecular biology. He earned his Ph.D. in Bioinformatics (2015-2018) from Northwest A&F University, China, where he conducted research on codon usage bias and viral genome evolution. Prior to that, he completed his M.Sc. (Hons) in Biochemistry and Molecular Biology (2013-2015) from the same institution, focusing on translational efficiency in Saccharomyces cerevisiae. In 2012-2013, he pursued a Chinese Language Course at Northwest A&F University to enhance his communication skills. He obtained his B.S. (Hons) in Biotechnology (2007-2011) from University of Malakand, Pakistan, where he studied phytoextraction of heavy metals in maize. His foundational education includes an Intermediate (Pre-Medical) (2004-2007) from Govt. Post Graduate Jahanzeb College, Swat, and Matriculation (2003-2004) from Malakand Public School, Dargai. His exceptional academic performance has earned him numerous scholarships throughout his educational journey.
Experience
Dr. Sufian Ullah Rahman has extensive research experience in bioinformatics, molecular biology, and computational drug design. His expertise includes codon usage bias analysis, viral genomics, and in silico drug discovery. He has worked as a computational biologist, utilizing molecular dynamics simulations, protein-ligand interactions, and genome analysis to understand viral evolution and host adaptation. His research has led to multiple high-impact publications in prestigious journals. Dr. Rahman has collaborated with international researchers on projects involving biochemical pathway modeling, genome-wide association studies, and phylogenetic analysis. He is proficient in various bioinformatics tools and programming languages such as Python, R, and MATLAB. Additionally, he has laboratory experience in molecular cloning, protein purification, and enzymology. His diverse skill set enables him to bridge computational and experimental biology, contributing to advancements in computational virology and genomic medicine
Awards & Honors
🏆 Best Lecture Award – The Genetics Society of Korea (2018)
🎓 Northwest A&F University Ph.D. Scholarship – Fully funded doctoral studies
🎓 China Scholarship Council (CSC) Award – M.Sc. (Hons) funding
📜 Special Scholarship for Malakand Division Students – B.Sc. (Hons) studies
🏅 1st Position in Volleyball Competition – Intercollege event at Northwest A&F University, China (2015)
🥇 Multiple Research Grants & Travel Fellowships – For scientific conferences and workshops
📖 Published in High-Impact Journals – Recognized for outstanding research contributions
🔬 International Collaborations in Computational Biology – Contributed to global research projects
Dr. Rahman has been recognized for his excellence in bioinformatics, receiving academic scholarships, research awards, and sports accolades. His contributions to viral genomics, computational drug discovery, and codon usage bias studies have earned him international recognition.
Research Focus
Dr. Sufian Ullah Rahman’s research revolves around bioinformatics, computational virology, and evolutionary genomics. His primary focus is codon usage bias, exploring how genetic sequences evolve to optimize protein synthesis. He has extensively studied viral genomes, including Zika virus, Crimean-Congo Hemorrhagic Fever virus, and Lassa virus, analyzing their adaptation to host environments. His work in computational drug design involves in silico screening of phytochemicals, molecular dynamics simulations, and protein-ligand interactions to identify potential antiviral compounds. Additionally, Dr. Rahman investigates horizontal gene transfer, microbial genomics, and phylogenetic relationships to understand the evolution of infectious diseases. His interdisciplinary approach integrates genomics, machine learning, and structural biology to tackle complex biological problems. Through cutting-edge computational methodologies, he contributes to advancing precision medicine, virology, and synthetic biology.
Publication Top Notes
🦠Analysis of Synonymous Codon Usage Bias of Lassa Virus – Virus Research
🧬 Innovative Phytochemicals-Based In-Silico Drug Design Targeting Norovirus – Journal of Molecular Structure
💻 Computational Analysis of Variants in Tyrosinase Protein Using Molecular Dynamics – Results in Chemistry
🧠 In-Silico Analysis of Microsatellites in Genes Associated with Spinal Cord Astrocytoma – Human Gene
🌱 Phytoremediation Efficiency of Poplar Hybrid Varieties in Contaminated Soil – Ecotoxicology & Environmental Safety
🐑 Characterization and Epidemiologic Analysis of Mycoplasmal Pneumonia in Sheep – PLoS ONE
🌳 Effects of Nitrogen on Catalpa Bungei under Drought Stress – BMC Plant Biology
🦠 Evolution of Codon Usage in Taenia saginata Genomes and Its Impact on Hosts
🌿 Systems Pharmacology Approach to Herb Rhodiola rosea L. Radix – Drug Development & Industrial Pharmacy
🌲 Physiological Responses of Toxicodendron vernicifluum to Cadmium Stress – Trees
🧬 A Novel Strategy for Detecting Recent Horizontal Gene Transfer in Rhizobium Strains – Frontiers in Microbiology
🦠 Codon Usage Bias of Crimean-Congo Hemorrhagic Fever Virus and Its Host Adaptation – Infection, Genetics & Evolution
🐄 SIX4 Gene Polymorphism and Its Association with Body Traits in Cattle – Gene
🦠 Codon Usage Bias and Evolutionary Analysis of Zika Virus Genomes – Genes & Genomics
🧬 Distinct Enrichment of Gene Functions in 5′ Terminal Coding Sequences – Genomics
🌳 Morphological & Physiological Responses to Cyclic Drought in Catalpa bungei – Environmental & Experimental Botany
🌿 Transcriptional Responses of Catalpa bungei to Drought Stress – Tree Physiology