Moses Owoicho Abah | Bioinformatics in Pharmaceuticals | Best Researcher Award

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Moses Owoicho Abah | Bioinformatics in Pharmaceuticals | Best Researcher Award

Dr. Moses Owoicho Abah at World-Class Research Center “Digital biodesign and personalized healthcare”, Sechenov First Moscow State Medical University, Moscow, Russia, Russia.

Dr. Moses Owoicho Abah is a passionate cancer researcher and molecular oncologist 🧪, currently pursuing a Ph.D. in Oncology/Radiation Therapy 🎓 at I.M. Sechenov First Moscow Medical University. With academic roots in Biochemistry, Bioinformatics, and Medical Biochemistry 🧠, he specializes in RNA sequencing, immunoassays, and biomarker discovery. Dr. Abah has worked across leading institutions in Nigeria and Russia 🇳🇬🇷🇺, contributing to drug discovery, genomics, and personalized oncology. He brings deep expertise in data analysis using Python and R 📊, and his impactful research is published in Scopus-indexed journals 📚. His goal is to revolutionize cancer treatment globally.

Publication Profile 

Google Scholar

Education

Dr. Moses Owoicho Abah’s educational path reflects his unwavering dedication to biomedical sciences and cancer research 🧬. He is currently pursuing a Ph.D. in Oncology/Radiation Therapy (2022–2025) at the Institute for Personalized Oncology, I.M. Sechenov First Moscow Medical University 🇷🇺. He earned his M.Sc in Medical Biochemistry (2020–2022) from the University of Abuja 🇳🇬 and completed a Professional Program in Bioinformatics (2019–2020) at MIPT, Russia. His foundation lies in a B.Sc (Hons) in Biochemistry (2010–2015) from FUAM and a Senior School Certificate from GSS Otukpo (2002–2007) 📚. His journey blends science, research, and innovation.

Experience

Since February 2025, Dr. Moses Owoicho Abah has served as a Cancer Research Coordinator at the Genetics, Genomics, and Bioinformatics Department of the National Institute for Cancer Research and Treatment, Nigeria 🇳🇬. He collaborates closely with the Principal Investigator to uphold global research standards 🌍, prepares proposals, budgets, protocols 📄, and handles informed consent and participant screening ✅. Skilled in RStudio and Python 📊🐍, he generates complex data visuals, manages study supplies, and maintains communication with stakeholders. He also revises and submits manuscripts to top journals 📚, contributing meaningfully to global cancer research.

Awards

Dr. Moses Owoicho Abah has received multiple prestigious awards for his excellence in research and academics 🎓. In July 2021, he was honored with the Associate Fellow Award (CMRf-Bioinformatics) by the Royal Society of Clinical and Academic Researchers of Nigeria (ROSCARON) 🧬. In February 2020, he emerged Overall Best Scholar in Clinical Medicine, Chemistry & Biology during the Russian Open Door Scholarship competition 🇷🇺. Earlier, in August 2018, he was conferred an Honorary Fellow Award by the Association of Economists and Statisticians of Nigeria (AESN) 📈—a testament to his cross-disciplinary brilliance.

Research Focus 

Dr. Moses Owoicho Abah’s research lies at the intersection of oncology, molecular medicine, and bioinformatics 🧪. His work focuses on cancer biology, particularly angiogenesis, cytokine signaling, and drug resistance mechanisms in lung and renal cancers 💉🩸. He explores innovative therapies targeting biomarkers using comparative transcriptomics and RNA sequencing for precision medicine. Additionally, he investigates the toxicological effects of everyday compounds, such as triclosan 🧼, and their impact on hormonal balance. His studies also include natural product pharmacology and the anti-diabetic potential of medicinal plants 🌿, bridging traditional medicine with modern therapeutic strategies.

Publication Top Notes

Kanwaljit Rana | Bioinformatics in Pharmaceuticals | Best Researcher Award

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Kanwaljit Rana | Bioinformatics in Pharmaceuticals | Best Researcher Award

Dr Kanwaljit Rana,Guru Angad Dev Veterinary and Animal Sciences University, Ludhiana, Punjab, India, India

Dr. Kanwaljit Rana 🧬📊 is a health researcher specializing in computational biology and big data analytics for disease diagnosis and health outcome prediction. Holding a Ph.D. in Biotechnology from GADVASU, India (2022), Dr. Rana integrates large-scale clinical, biological, and omics data using machine learning for precision medicine. With research experience at ICGEB and PGIMER, he has developed bioinformatics pipelines for genomics and predictive health analytics. His expertise spans AI-driven diagnostics, wearable health tech, and big data automation. A published scientist and GATE-qualified scholar, Dr. Rana continues to innovate in health data science and computational medicine. 🚀

Publication Profile

Google scholar

Education

Dr. Kanwaljit Rana 🎓 holds a Ph.D. in Biotechnology from Guru Angad Dev Veterinary and Animal Sciences University (GADVASU), India (2022). With a strong academic foundation, he previously earned a Master’s degree in Biotechnology from HNB Garhwal University, Srinagar. His expertise lies in cutting-edge biotechnological research, contributing to advancements in veterinary and animal sciences 🧬🔬. Passionate about innovation and scientific discovery, Dr. Rana continues to explore new frontiers in biotechnology, striving to make a meaningful impact in the field. His dedication to research and development reflects his commitment to scientific excellence and progressive learning

Professional Experience

Dr. Kanwaljit Rana 🎓 is a dedicated Research Associate at the International Centre for Genetic Engineering and Biotechnology (ICGEB), New Delhi (Feb 2024 – Aug 2024), where he conducts advanced bioinformatics analysis 🧬, integrating genomics and metagenomics data for disease characterization. Previously, at PGIMER, Chandigarh (Sep 2022 – Jan 2023), he developed automated workflows for tuberculosis meningitis diagnosis 🏥. His research journey includes roles at Punjab Agricultural University (PAU), Ludhiana, and Swami Vivekanand Faculty of Technology & Management, specializing in molecular breeding 🌱 and agricultural biotechnology. He is also a QC Freelancer at Cactus Communications since October 2024 ✍️.

Awards

Dr. Kanwaljit Rana 🎓 is a highly accomplished researcher, having qualified GATE Biotechnology in both 2020 and 2022 🏆, showcasing his expertise in the field. His dedication to innovative research earned him the Best Poster Award 🥇 for his work on “Boon of Cow Curd Consumption” at the National Webinar on Cowpathy and Animal Health (2021) 🐄🧪. His contributions to biotechnology and health sciences continue to make a significant impact, blending traditional knowledge with modern scientific advancements. Dr. Rana remains committed to groundbreaking research and advancements in biotechnology and health sciences 🔬📚

Research Focus

Dr. Kanwaljit Rana’s research primarily focuses on computational genomics 🧬, bioinformatics 🖥️, and veterinary genetics 🐶. His work involves biocomputational analysis of microRNAs, genome assembly, and ancestry studies, particularly in indigenous dog breeds like the Gaddi dog. His expertise extends to genome sequencing, phylogenetics, and the application of programming languages like Python, R, and MATLAB for data analysis. His contributions to veterinary science include genetic insights into animal breeding, evolution, and conservation. Through his interdisciplinary approach, Dr. Rana advances animal genomics, computational biology, and veterinary research, impacting both genetic conservation and bioinformatics applications in animal sciences.

Publication Top Notes

Differential Perspectives Between miRNA and lncRNA in Light of Biogenesis and Functions: A Review

Molecular characterization of indigenous dogs through whole genome analysis

Biocomputational identification of microRNAs from indigenous Gaddi dog genome

Introduction to Python, R, and MATLAB

Mr. Syed Luqman Ali|Bioinformatics|Best Researcher Award

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Mr. Syed Luqman Ali|Bioinformatics|Best Researcher Award

Mr. Syed Luqman Ali at Abdul wali khan university mardan,Pakistan

PROFILE  

 

Google scholar

Summary🎓

Passionate and goal-oriented researcher with expertise in biochemistry, computational biology, and bioinformatics. Skilled in vaccine and drug design, transcriptomics, genomics, and omics approaches. Proficient communicator and problem-solver with a commitment to impactful research.

Education📚

MPhil in Biochemistry
Abdul Wali Khan University, Mardan
Thesis: Ferroptosis-related genes and their therapeutic potential in pancreatic ductal adenocarcinoma.

BS in Biochemistry
Abdul Wali Khan University, Mardan
Thesis: Transcriptome analysis of Artemisia argyi for secondary metabolites against SARS-CoV-19.

Diploma in Digital Information Technology
Board of Technical Education, Peshawar

Technical Skills💻

Expertise in computational modeling, pharmacophore modeling, molecular docking, RNA-seq analysis, and omics approaches. Proficient in tools such as SnapGene, Cytoscape, DAVID, and KEGG databases.

Teaching Experience📘

Skilled in curriculum development and delivering lectures on biochemistry, vaccine design, and computational biology at the undergraduate level.

Research Interests🔬

Cutting-edge vaccine and drug design, cancer biomarker identification, molecular mimicry, and phylogenetic analysis. Dedicated to advancing personalized medicine and understanding biological diversity.

With a multidisciplinary approach and a passion for discovery, I am driven to make meaningful contributions to science and healthcare!

🎓Publication 

Illuminating the Frontier of Drug Discovery: Unleashing the Power of Bioinformatics for Unprecedented Breakthroughs

  • Authors   : Ali Awais, Ullah Waseef, Adil Kashif 
  • Journal    :International Journal of Molecular Biotechnological Research
  • Year         :2023

Mutational screening of GDAP1 in dysphonia associated with Charcot-Marie-Tooth disease: clinical insights and phenotypic effects

  • Authors   : Uzma Manzoor, Awais Ali, S Luqman Ali, Omneya Abdelkarem, Sumaira Kanwal, Saqer S Alotaibi, Alaa Baazeem, Aliya Baiduissenova, Ayaz Yktiyarov, Azraida Hajar, Abay Olzhabay
  • Journal    : Journal of Genetic Engineering and Biotechnology
  • Year         :2023

Vaccinomics-based next-generation multi-epitope chimeric vaccine models prediction against Leishmania tropica – a hierarchical subtractive proteomics and …

  • Authors   :Sara Aiman, Abbas Ahmad, Azmat Ali Khan, Amer M Alanazi, Abdus Samad, Syed Luqman Ali, Chunhua Li, Zhiguang Ren, Asifullah Khan, Saadullah Khattak
  • Journal    : Frontiers in Immunology
  • Year         :2023

Genomic annotation for vaccine target identification and immunoinformatics-guided multi-epitope-based vaccine design against Songling virus through screening its whole genome …

  • Authors   :S Luqman Ali, Awais Ali, Abdulaziz Alamri, Aliya Baiduissenova, Marat Dusmagambetov, Aigul Abduldayeva
  • Journal    :Frontiers in Immunology
  • Year         :2023

Currently trending and futuristic biological modalities in the management of different types of diabetes: A comprehensive review

  • Authors   : A ALi, U Manzoor, SL Ali, MD Marsool, PK Parida, AD Marsool, NL Swathi
  • Journal    :J Popul Ther Clin Pharmacol
  • Year         :2023