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Projects

Research Projects

My research spans four connected domains: genomics, computational drug discovery, immunoinformatics, and wet-lab experimental biology. I pair molecular techniques with computational workflows to investigate disease-associated variants, design therapeutic candidates, and build immunoinformatics-driven vaccines.

12+Research projects
5+Major disease targets
4Interdisciplinary domains
Ongoing

MMP3 & MMP9 Variant Profiling in Periodontitis and Diabetes

Identify disease-associated MMP variants using combined wet-lab and computational workflows.

Methods

  • PCR amplification and Sanger sequencing
  • NGS-based variant calling
  • Functional annotation with GATK, VEP, and ClinVar

Outcome. Novel variants identified across a Bangladeshi study population.

Completed

Whole-Exome Sequencing: Variant Discovery Pipeline

Build a high-throughput WES workflow for disease-associated SNPs and indels.

Methods

  • Quality control with FastQC and Trimmomatic
  • Alignment with Hisat2 and BWA
  • Variant calling with GATK, downstream analysis with VCFtools and SnpEff

Outcome. A reproducible pipeline from raw reads to annotated, filtered variants.

In preparation

Breast Cancer GWAS-Based Variant Annotation

Screen population-level SNPs to identify risk-associated loci in breast cancer.

Methods

  • GWAS dataset curation
  • Manhattan and QQ plot analysis
  • Functional annotation and pathogenicity scoring

Outcome. Candidate risk loci prioritised for downstream study.

Published

Structure-Based Drug Design Against Chikungunya RdRp

Identify lead compounds targeting the CHIKV RNA-dependent RNA polymerase.

Methods

  • Protein preparation and active-site mapping
  • Virtual screening and docking with AutoDock and PyRx
  • Molecular dynamics with GROMACS, plus ADMET and DFT validation

Outcome. First-author Q1 publication identifying multi-target RdRp inhibitor candidates.

Completed

P53 Nanophytocompound Screening & MD Validation

Investigate natural compounds targeting P53 for therapeutic potential.

Methods

  • Ligand screening and in-silico toxicity prediction
  • 100 ns molecular dynamics for stability analysis
  • RMSD/RMSF and free-energy profiling with animal-model bioactivity testing

Outcome. Two lead compounds validated for binding affinity and bioactivity.

Ongoing

Lead Optimisation for Viral Targets

Identify small molecules targeting viral membrane and polymerase proteins.

Methods

  • Molecular docking and energy minimisation
  • Binding hotspot analysis
  • Drug-likeness scoring

Outcome. A shortlist of optimised candidates for further evaluation.

Published

Mpox Multi-Epitope Vaccine Design

Generate epitope-based vaccine candidates through a complete immunoinformatics pipeline.

Methods

  • CTL, HTL, and B-cell epitope screening
  • Molecular docking with immune receptors
  • Allergenicity and antigenicity profiling with in-silico cloning

Outcome. First-author Q1 publication presenting a validated vaccine construct.

Submitted

Reverse Vaccinology for C. trachomatis

Computational antigen discovery and epitope prioritisation for C. trachomatis.

Methods

  • Proteome mining
  • Subcellular localisation prediction
  • B/T-cell epitope mapping and population coverage analysis

Outcome. A prioritised antigen set proposed for vaccine development.

Completed

Vaccine Candidate Selection for S. pyogenes

Identify conserved epitopes for rational vaccine design.

Methods

  • Antigenic region mapping and conservancy analysis
  • Adjuvant design
  • 3D modelling and immunological simulation

Outcome. A conserved multi-epitope construct with simulated immune response.

Completed

Sanger Sequencing & NGS Training — NIB

Gain hands-on experience with Sanger workflows and next-generation sequencing.

Methods

  • DNA extraction and quantification
  • PCR optimisation
  • Gel electrophoresis and sequence analysis

Outcome. Practical command of core sequencing instrumentation.

Completed

Nanophytocompound Extraction & Animal Testing

Experimentally validate two lead compounds with high binding affinity to P53.

Methods

  • Plant extract preparation and column chromatography
  • Animal-model toxicity and bioactivity testing
  • Correlation with computational predictions

Outcome. Laboratory results consistent with the computational binding predictions.

Completed

Undergraduate Research: CHIKV RdRp Targeting

Run a complete bioinformatics pipeline for antiviral drug discovery.

Methods

  • Research design and protein modelling
  • Docking and molecular dynamics simulation
  • HOMO-LUMO and DFT studies

Outcome. Foundational work that led to the first-author CHIKV publication.