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PROBIOTIC GENOMICS / MICROBIAL AI / ONE HEALTH

Dr. Shakira Ghazanfar

Microbiologist | Probiotic Genomics & Microbial AI Researcher

Senior Scientific Officer, NIGAB-NARC-PARC | Principal Investigator / Project Manager

Integrating whole-genome sequencing, microbiome science, experimental microbiology and artificial intelligence to discover, validate and translate indigenous microbial strains into practical solutions for animal health, food systems and One Health.

Islamabad, Pakistan NIGAB • NARC • PARC
Portrait of Dr. Shakira Ghazanfar
Senior Scientific OfficerNational Institute for Genomics & Advanced Biotechnology
18+Years R&D experience
100+Publications
300+Microbial resources
PI / PMNational funded projects

Research leadership with a translational purpose.

Her research connects microbial isolation and genome-scale evidence with computational interpretation, laboratory validation and practical applications in animal health and food systems.

01

Probiotic Genomics

WGS/NGS, functional genomics, safety interpretation and strain-level characterization.

Research pillars
02

Microbial AI

Machine learning, bioinformatics and feature-based analysis for biological prediction.

AI + AMR
03

Gut Microbiome

Probiotic modulation, animal health, feed efficiency and host-response questions.

Explore theme
04

AMR & One Health

Connecting microbial genomes, animal health, safer food production and risk assessment.

View direction

Multi-strain probiotic development supported by machine learning.

AS-0236 is an applied research programme combining WGS-identified probiotic strains, feed supplementation, poultry gut-health assessment and machine-learning-supported analysis.

AS-0236OngoingAgricultural Linkages Programme
Open project page
Project award poster for Dr. Shakira Ghazanfar

Publications connecting methods with biological questions.

The publication record reflects a continuing programme of work in computational biology, probiotic genomics, microbiome science and animal health, with DOI or publisher links provided where available.

2025 • AI / COMPUTATIONAL BIOLOGY

Simulation studies to identify high-affinity probiotic peptides for inhibiting PAK1 gastric cancer protein

Probiotic peptide docking and molecular-dynamics analysis.

2026 • PROBIOTIC GENOMICS

Functional Genomics and Probiotic Traits of Lactiplantibacillus plantarum MB685

Genome-informed probiotic traits, gut health and metabolic insights.

View selected publications

Microbial AI for safer biological decisions.

Microbial AI combines biological experiments with computational analysis to support strain selection, safety screening, functional prediction and product assessment.

AI + Probiotic Genomics

Use genomic features to rank strains for safety, function and probiotic potential.

AI + Therapeutic Peptides

Machine-learning prediction, docking and molecular-dynamics analysis of peptide candidates.

AI + Animal Performance

Connect microbial strain data, feed supplementation and poultry performance.

AMR & One Health

Interpret genomic and microbiome evidence for safer, more sustainable production.

Open AI + AMR page

From indigenous yeast to translational product development.

CS-929 connected indigenous yeast identification and molecular/NGS characterization with yeast-extract and beta-glucan product development for food, feed and industry-facing applications.

July 2021 — December 2024CompletedALP-funded

Strain-level resources and public accessions.

Public accessions make the genomic evidence traceable and allow researchers to inspect the sequence records underlying the research programme.

Research workflow

ISOLATE PHENOTYPE WGS/NGS SAFETY & FUNCTION AI RANKING VALIDATION PRODUCT

Browse genomic resources Open genome classifier

Publishing, editing and open scholarly resources.

Dr. Ghazanfar's editorial work extends her research in probiotic science into next-generation therapeutics, postbiotics, microbial health and accessible scholarly chapters.

COPYRIGHT 2026

Next Generation Probiotics: From Novel Drugs to Future Therapeutics

Edited volume • CRC Press / Routledge

Books and chapters
FORTHCOMING

Next Generation Probiotics: Natural Therapeutics, Volume 2

Edited volume • CRC Press / Routledge

Open books page

Research, mentoring and scientific service.

HEC-approved PhD supervisor, research mentor, book editor, guest editor, international peer reviewer, invited speaker and trainer.

Practical learning in biological AI and genomics.

Dr. Ghazanfar's training activities help students, researchers and professionals work confidently with microbial NGS data, artificial intelligence and probiotic-genomics workflows.

15–16 August 2024

Microbial NGS & AI

Hands-on workshop at NIGAB-NARC on microbial NGS data analysis and artificial intelligence.

Workshop record
2024

National training workshop

Practical instruction in microbial genome analysis, sequence interpretation and biological AI.

National programme
12–13 October 2026

7th National Hands-on Training

Microbial NGS and artificial intelligence for better product preparation at NIGAB-NARC, Islamabad.

Open event details
Explore training and workshops

Selected public engagement, with dates.

Through invited talks, webinars and public training activities, Dr. Ghazanfar shares practical approaches to microbial genomics, artificial intelligence and biological innovation with students, researchers and professional audiences.

Speaker announcement for the 7th Global Summit on Artificial Intelligence
5 — 6 August 2026

Speaker at the 7th Global Summit on Artificial Intelligence

Virtual Cell and Cancer: Using Artificial Intelligence to Understand and Predict Cancer Biology.

View news and speaking
Bio-AI tool using less coding webinar poster
15 August 2026

Build a Bio-AI Tool Using Less Coding

Free webinar for biologists, bioinformaticians, students and researchers.

Open speaking page

For research, collaboration and invited speaking.

Dr. Ghazanfar welcomes enquiries about research collaboration, training, invited speaking and scientific exchange.