Computational Biologist & AI-Driven Drug Discovery Researcher
Doha, QA.
About
Highly accomplished Computational Biologist and Research Assistant with extensive experience in AI/ML-driven drug discovery, multi-omics data analysis, and precision medicine. Proven ability to lead complex genomic and epigenomic research projects, contributing to over 30 peer-reviewed publications and advancing therapeutic strategies for neurodevelopmental disorders, cancer, and infectious diseases. Seeking to leverage advanced analytical skills and a strong research background to drive innovation in a challenging scientific role.
Work
Hamad Bin Khalifa University (HBKU)
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Research Assistant
Doha, Qatar, Qatar
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Summary
Led advanced genomic and epigenomic data analysis for the Precision Medicine Initiative, focusing on pediatric cerebral palsy under Project NPRP14S-0319-210075.
Highlights
Conducted comprehensive whole-exome sequencing (WES) and downstream analysis, generating critical genetic insights for pediatric cerebral palsy research.
Performed Sanger sequencing for mutation validation and variant confirmation, ensuring high data accuracy for subsequent analyses and publications.
Executed epigenomic data analysis, specifically DNA methylation profiling, to identify novel epigenetic markers associated with disease progression.
Supported the development of AI-driven tools for biomarker discovery and precision diagnosis, significantly enhancing research capabilities in cerebral palsy.
Center for Artificial Intelligence in Precision Medicine (KAU)
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Research Assistant
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Summary
Contributed to AI-driven drug discovery and target identification initiatives, focusing on virtual screening and ligand-based approaches for various diseases.
Highlights
Contributed to the development of AI-driven pipelines for target identification, enhancing the efficiency and throughput of drug discovery processes.
Participated in virtual large-scale drug screening, identifying candidate molecules against prioritized targets with high predictive accuracy.
Targeted viral proteins from SARS-CoV-2 and MERS-CoV through structure- and ligand-based drug discovery, identifying potential antiviral compounds.
Utilized advanced computational methods to accelerate the identification of novel therapeutic candidates for infectious diseases.
International Islamic University Malaysia
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Research Assistant
Malaysia, Malaysia
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Summary
Investigated novel compounds for improved anti-dengue therapies by inhibiting the host's glycolytic pathway under Project FRGS/1/2018/STG04/UIAM/02/1.
Highlights
Conducted molecular cloning, expression, and purification of Hexokinase 2 (HK2) gene, a key target in anti-dengue therapy development.
Performed inhibition assays on virtual-screened compounds, identifying promising therapeutic candidates for dengue treatment.
Contributed to the validation of anti-dengue therapeutic candidates using enzyme activity-based profiling, ensuring robust experimental verification.
Central Laboratory of Biotechnology
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Research Assistant
Bangladesh, Bangladesh
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Summary
Conducted laboratory research focused on isolating and screening antibiotic-resistant bacteria and identifying their antimicrobial potential.
Highlights
Isolated and screened Lactic Acid Bacteria (LAB) strains for arsenic resistance probiotic, identifying novel microbial candidates with potential applications.
Characterized the potential of identified strains for environmental detoxification and microbial bioremediation, contributing to sustainable solutions.
Under review: E3 ubiquitin ligase TRIP12 catalyzes non-canonical lysine-independent ubiquitin-ubiquitin linkages in vitro.
In-vitro and in-silico evaluation of rue herb for SARS-CoV-2 treatment
International Immunopharmacology (IF: 4.80)
In-vitro and in-silico evaluation of rue herb for SARS-CoV-2 treatment.
Multi-modal neuroprotection of Argemone mexicana L. against Alzheimer's disease: In vitro and in silico study
Heliyon (IF: 3.40)
Multi-modal neuroprotection of Argemone mexicana L. against Alzheimer's disease: In vitro and in silico study.
Cheminformatics-based identification of phosphorylated RET tyrosine kinase inhibitors for human cancer
Frontiers in Chemistry (IF: 3.80)
Cheminformatics-based identification of phosphorylated RET tyrosine kinase inhibitors for human cancer.
Natural defense against multi-drug resistant Pseudomonas aeruginosa: Cassia occidentalis L. in vitro and in silico antibacterial activity
RSC Advances (IF: 3.900)
Natural defense against multi-drug resistant Pseudomonas aeruginosa: Cassia occidentalis L. in vitro and in silico antibacterial activity.
The ortholog of human ssDNA-binding protein SSBP3 influences neurodevelopment and autism-like behaviors in Drosophila melanogaster
PLoS Biology (IF: 9.800)
The ortholog of human ssDNA-binding protein SSBP3 influences neurodevelopment and autism-like behaviors in Drosophila melanogaster.
In-silico formulation of a next-generation multiepitope vaccine for use as a prophylactic candidate against Crimean-Congo hemorrhagic fever
BMC Medicine (IF: 11.150)
In-silico formulation of a next-generation multiepitope vaccine for use as a prophylactic candidate against Crimean-Congo hemorrhagic fever.
Integrative Ligand-Based Pharmacophore Modeling, Virtual Screening, and Molecular Docking Simulation Approaches Identified Potential Lead Compounds against Pancreatic Cancer by Targeting FAK1
Pharmaceuticals (IF: 5.215)
Integrative Ligand-Based Pharmacophore Modeling, Virtual Screening, and Molecular Docking Simulation Approaches Identified Potential Lead Compounds against Pancreatic Cancer by Targeting FAK1.
Pharmacophore-based virtual screening approaches to identify novel molecular candidates against EGFR through comprehensive computational approaches and in-vitro studies
Frontiers in Pharmacology (IF: 5.988)
Pharmacophore-based virtual screening approaches to identify novel molecular candidates against EGFR through comprehensive computational approaches and in-vitro studies.
Identification of novel natural drug candidates against BRAF mutated carcinoma; an integrative in-silico structure-based pharmacophore modeling and virtual screening process
Frontiers in Chemistry (IF: 5.545)
Identification of novel natural drug candidates against BRAF mutated carcinoma; an integrative in-silico structure-based pharmacophore modeling and virtual screening process.
Application of Mathematical Modeling and Computational Tools in the Modern Drug Design and Development Process
Molecules (IF: 4.927)
Application of Mathematical Modeling and Computational Tools in the Modern Drug Design and Development Process.
Toward the Identification of Natural Antiviral Drug Candidates against Merkel Cell Polyomavirus: Computational Drug Design Approaches
Pharmaceuticals (IF: 5.215)
Toward the Identification of Natural Antiviral Drug Candidates against Merkel Cell Polyomavirus: Computational Drug Design Approaches.
Immunoinformatics and computer-aided drug design as novel approaches against emerging and re-emerging infectious diseases
Antiviral Drugs (IntechOpen)
Immunoinformatics and computer-aided drug design as novel approaches against emerging and re-emerging infectious diseases.
GC-MS analysis of phytoconstituents from Ruellia prostrata and Senna tora and identification of potential anti-viral activity against SARS-CoV-2
RSC Advances (IF: 4.036)
GC-MS analysis of phytoconstituents from Ruellia prostrata and Senna tora and identification of potential anti-viral activity against SARS-CoV-2.
Spike protein recognizer receptor ACE2 targeted identification of potential natural antiviral drug candidates against SARS-CoV-2
International Journal of Biological Macromolecules (IF: 8.025)
Spike protein recognizer receptor ACE2 targeted identification of potential natural antiviral drug candidates against SARS-CoV-2.
Pharmacophore-Based Virtual Screening, Quantum Mechanics Calculations, and Molecular Dynamics Simulation Approaches Identified Potential Natural Antiviral Drug Candidates against MERS-CoV S1-NTD
Molecules (IF: 4.927)
Pharmacophore-Based Virtual Screening, Quantum Mechanics Calculations, and Molecular Dynamics Simulation Approaches Identified Potential Natural Antiviral Drug Candidates against MERS-CoV S1-NTD.
Pharmacoinformatics and molecular dynamics simulation-based phytochemical screening of neem plant (Azadiractha indica) against human cancer by targeting MCM7 protein
Briefings in Bioinformatics (IF: 13.994)
Pharmacoinformatics and molecular dynamics simulation-based phytochemical screening of neem plant (Azadiractha indica) against human cancer by targeting MCM7 protein.
Structure-based pharmacophore modeling, virtual screening, molecular docking and ADMET approaches for identification of natural anti-cancer agents targeting XIAP protein
Scientific Reports (IF: 4.996)
Structure-based pharmacophore modeling, virtual screening, molecular docking and ADMET approaches for identification of natural anti-cancer agents targeting XIAP protein.
Designing a multi-epitope vaccine against SARS-CoV-2: an immunoinformatics approach
Biomolecular Structure and Dynamics (IF: 5.235)
Designing a multi-epitope vaccine against SARS-CoV-2: an immunoinformatics approach.
Contemporary Strategies and Current Trends in Designing Antiviral Drugs against Dengue Fever via Targeting Host-Based Approaches
Microorganisms (IF: 4.926)
Contemporary Strategies and Current Trends in Designing Antiviral Drugs against Dengue Fever via Targeting Host-Based Approaches.
Anti-inflammatory, antinociceptive and antidiarrhoeal activities of methanol and ethyl acetate extract of Hemigraphis alternata leaves in mice
Clinical Phytoscience
Anti-inflammatory, antinociceptive and antidiarrhoeal activities of methanol and ethyl acetate extract of Hemigraphis alternata leaves in mice.
Certificates
Variant Effect Prediction Training Course 2024
Human Genome Organization (HUGO), Italy
Hands-on traning in the Next Generation Sequencing Technology
Qatar Biomedical Research Institute (QBRI), Qatar
Training on Molecular cloning, expression, and purification
National Institutes of Biotechnology Malaysia
Overview & safe use of laboratory ventilation equipment
ESCO Life sciences Bangladesh Pvt. Ltd
Workshop on Human Genome Project
Military Institute of Science & Technology
Skills
Artificial Intelligence
ML/DL-based Biomarker, Drug Target Discovery, Virtual Screening.
Artificial intelligence-driven target and biomarker discovery across multi-omics datasets, Computational drug discovery and design, Machine learning-based precision medicine models and large scale drug screening, Whole-exome sequencing (WES), DNA methylation, and single-cell omics data analysis, Network pharmacology and systems biology modeling of disease mechanisms, Integration of spatial transcriptomics and single-cell RNA-seq for cellular heterogeneity, Translational applications in virology, oncology, and neurodevelopmental disorders.
References
Dr. Ishtiaq Qadri
Professor (Thesis Supervisor / Masteres), Department of Biological Science, King Abdulaziz University, Jeddah, Saudi Arabia. Email: mqadery@kau.edu.sa / mqaderykau@gmail.com
Dr. S.M. Khaledur Rahman
Associate Professor (Thesis Supervisor / BSc), Department of Genetic Engineering and Biotechnology, Jashore University of Science and Technology, Jashore, Bangladesh. Email: smk.rahman@just.edu.bd
Dr. Rahat Alam
Associate Researcher (Co-Founder/ BioSol Centre), Icahn School of Medicine at Mount Sinai, New York, USA Department of Oncological Sciences. Email: rahat.alam@mssm.edu
Dr. Mohammad Farhan
Associate Professor (Project Supervisor / Research Lead), Division of Biological and Biomedical Sciences, College of Health and Life Sciences, Hamad Bin Khalifa University, Doha 34110, Qatar. Email: mohammadfarhan@hbku.edu.qa
Projects
Genome wide Micoarry data analysis and identification of genetic effects on disease
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Summary
Led training on genome-wide microarray data analysis and identification of genetic effects on disease at BioSol Centre.
Computer-Aided Antiviral Peptide Identification and Designing
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Summary
Directed a 4-month training and project on leveraging computational methods for antiviral peptide design at BioSol Centre.
Discovery of Bioactive Compounds against Human Pathogenic Virus and Bacteria: In Silico Approaches
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Summary
Supervised a 4-month training and project focused on virtual screening for anti-pathogenic compounds at BioSol Centre.
Bioinformatics for Beginners
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Summary
Conducted a training session for beginners in bioinformatics at BioSol Centre, covering essential tools and concepts.
Identifications of Novel Compounds by CADD Approaches
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Summary
Delivered training on Computer-Aided Drug Design (CADD) for novel compound identification at BioSol Centre.
Computer-aided drug design and research methodology
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Summary
Presented a seminar on computer-aided drug design and research methodology at Jessore University of Science & Technology (JUST).