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Md. Hridoy Ahmed

Molecular Biology and Bioinformatics Enthusiast

Projects



✨ Project Summary 

My research spans four interconnected domains: Genomics, Computational Drug Discovery, Immunoinformatics, and Wet-Lab Experimental Biology. I integrate molecular techniques with advanced computational workflows to investigate disease-associated variants, design therapeutic candidates, and develop immunoinformatics-driven vaccines.

12+ research projects • 5+ major disease targets • 4 interdisciplinary domains

 
🧬 1. Genomics & Variant Analysis

MMP3 & MMP9 Variant Profiling in Periodontitis and Diabetes

Identifying disease-associated MMP variants using wet-lab and computational workflows.
 Highlights:
  • PCR amplification, Sanger sequencing
  • NGS-based variant calling
  • Functional annotation (GATK, VEP, ClinVar)
  • Novel variants identified across Bangladeshi population

Whole Exome Sequencing: Variant Discovery Pipeline

High-throughput WES analysis for disease-associated SNPs and INDELs.
 Highlights:
  • QC: FASTQC, Trimmomatic
  • Alignment: Hisat2 / BWA
  • Variant calling: GATK
  • Downstream analysis: VCFtools, SnpEff

Breast Cancer GWAS-Based Variant Annotation (In preparation)

Screening population-level SNPs to identify risk-associated loci.
 Highlights:
  • GWAS dataset curation
  • Manhattan and QQ plot analysis
  • Functional annotation & pathogenicity scoring
 
 

💻 2. Computational Drug Discovery

Structure-Based Drug Design Against Chikungunya RdRp

 
First-author Q1 publication on lead compound identification targeting CHIKV RdRp.
 Highlights:
  • Protein preparation & active-site mapping
  • Virtual screening & docking (AutoDock, PyRx)
  • MD simulation (GROMACS)
  • ADMET & DFT validation

P53 Nanophytocompound Screening & MD Validation

Investigating natural compounds targeting P53 for therapeutic potential.
 Highlights:
  • Ligand screening & in silico toxicity prediction
  • 100 ns MD simulation for stability analysis
  • RMSD/RMSF free energy profiling
  • Animal model bioactivity testing (wet-lab validation)

Lead Optimization for Viral Targets

Computational identification of small molecules targeting viral membrane and polymerase proteins.
 Highlights:
  • Molecular docking
  • Energy minimization
  • Hotspot analysis
  • Drug-likeness scoring

💉 3. Immunoinformatics & Vaccine Design

Mpox Multi-Epitope Vaccine Design (Q1 publication)

A complete immunoinformatics pipeline to generate epitope-based vaccine candidates.
 Highlights:
  • CTL, HTL, B-cell epitope screening
  • Molecular docking with immune receptors
  • Allergenicity & antigenicity profiling
  • In silico cloning

Reverse Vaccinology for C. trachomatis (Submitted)

Computational antigen discovery and epitope prioritization.
 Highlights:
  • Proteome mining
  • Subcellular localization prediction
  • B/T-cell epitope mapping
  • Population coverage analysis

Vaccine Candidate Selection for S. pyogenes

Identifying conserved epitopes for rational vaccine design.
 Highlights:
  • Antigenic region mapping
  • Conservancy analysis
  • Adjuvant design
  • 3D modeling & immunological simulation
 

🧪 4. Wet Lab Research & Internships

Sanger Sequencing & NGS Training — NIB

Hands-on experience with Sanger workflow and next-generation sequencing concepts.
 Highlights:
  • DNA extraction & quantification
  • PCR optimization
  • Gel electrophoresis
  • Sequence analysis

Nanophytocompound Extraction & Animal Testing

Experimental validation of two lead compounds with high binding affinity to P53.
 Highlights:
  • Plant extract preparation
  • Column chromatography
  • Animal model toxicity & bioactivity testing
  • Correlation with computational predictions

Undergraduate Research: CHIKV RdRp Targeting

Complete bioinformatics pipeline for antiviral drug discovery.
 Highlights:
  • Research design
  • Protein modelling
  • Docking & MD simulation
  • HOMO–LUMO, DFT studies

 
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