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DrFatimaKhatoon/README.md

Hi, I'm Dr. Fatima Khatoon 👋

Computational Biologist & Neuroscientist based in New Delhi, India.
PhD in Neuroscience | Translational Research | ALS & Neurodegeneration


🔬 Research Focus

  • Computational genomics of ALS and Frontotemporal Dementia (FTD)
  • TBK1 mutation analysis — structural and functional impact
  • RNA-seq pipeline development and differential expression analysis
  • Computer-Aided Drug Design (CADD) for neurodegeneration targets
  • Multi-omics data integration (genomics + transcriptomics + structural biology)

🛠️ Skills & Tools

Languages: Python (NumPy, Pandas, Matplotlib) · R (DESeq2, ggplot2) · Bash
NGS & Genomics: STAR · GATK · BWA · Bowtie · BEDTools · IGV
Structural Biology: GROMACS · AutoDock · PyMOL
Pathway Analysis: KEGG · Reactome · STRING · DAVID
Reproducible Research: Git/GitHub · Snakemake (learning) · Nextflow (learning)


📚 Selected Publications (450+ citations | h-index: 5)

Year Title Journal
2024 Genetic overlap between sporadic ALS and C9orf72-related ALS Minerva Biotechnology
2023 Network-based approach for targeting human kinases in ALS Frontiers in Molecular Neuroscience
2022 Frustration analysis of TBK1 missense mutations in ALS/FTD 3 Biotech
2021 COVID-19 associated nervous system manifestations Sleep Medicine
2020 Neurological manifestations of COVID-19 Journal of NeuroVirology

🔗 View all publications on Google Scholar


💼 Current Position

Neuroscience Consultant — THF, AIIMS Delhi (Pediatrics)
Contributing computational perspectives to clinical research in ADHD and Autism.


📫 Connect


"Bridging computational biology and neuroscience to understand and treat neurodegeneration."

Popular repositories Loading

  1. NeuroDockAI-VinaFlow NeuroDockAI-VinaFlow Public

    An automated computational drug discovery framework for ligand preparation, molecular docking, virtual screening, and reproducible structure-based analysis.

    Python 1

  2. DrFatimaKhatoon DrFatimaKhatoon Public

  3. NeuroSeqAI NeuroSeqAI Public

    AI-assisted end-to-end RNA-seq pipeline: SRA → FastQC → Fastp → STAR/RSEM → DESeq2. Developed for ALS/FTD neurodegeneration research.

    Python