Tools and assets that make research translatable.

The programme combines computational tools, genomic resources and translational product-development work to move microbial research toward practical applications.

01 / RESEARCH TOOLS

ProbioPredict

Genome-based probiotic prediction and biological assessment are developed as part of the microbial AI research programme.

Open classifier repository Research / development tool

Pakistan Probiotics Database (PPD)

A research database and data resource supporting the organization of probiotic strains, evidence and genomic information.

Internal / developmental

Microbial Gene Bank / Culture Collection

Microbial-resource collection supporting organism-level research, characterization and probiotic development.

Research resource

CS-929 yeast-extract output

Completed translational project output connected to yeast identification, beta-glucan and product-development work.

Open CS-929 record

02 / METHODS STRIP

Research capabilities.

The following capabilities form a connected pathway from experimental microbiology to computational analysis and product translation.

Wet lab

Probiotic isolation, culture, biochemical characterization, acid/bile tolerance and antimicrobial testing.

Genomics

WGS/NGS, 16S rRNA, annotation, functional genomics and microbiome/metagenomics workflows.

Computational

Bioinformatics, machine learning, sequence features, docking/MD, integration and visualization.

Translation

Feed supplementation, livestock/poultry trials, product optimization and pilot development.

03 / INTELLECTUAL PROPERTY & COLLABORATION

Recognised software and collaborative research.

These records document two complementary parts of the research programme: the registered NIGAB-ProBioPred software and Dr. Shakira Ghazanfar's participation in an international disease-burden research network.

IPO Pakistan copyright registration certificate for NIGAB-ProBioPred software

View certificate

30 August 2024

NIGAB-ProBioPred copyright registration

IPO Pakistan's Certificate of Registration of Copyright records the software work NIGAB-ProBioPred: Machine learning tool for the prediction of yeast probiotics. The certificate lists Dr. Shakira Ghazanfar among the authors and gives Registration No. 51456-Copr.

Registered software record

Institute for Health Metrics and Evaluation collaborator certificate for Dr. Shakira Ghazanfar

Open PDF certificate

20 August 2026

Global Burden of Disease collaborator network

The Institute for Health Metrics and Evaluation at the University of Washington confirms Dr. Shakira Ghazanfar as a member of the Global Burden of Disease Collaborator Network since 2025.

Learn about the collaborator network International research collaboration