Intelligent Therapeutic Discovery

Antibody Discovery

Designing next-generation antibodies with hight specifivty and developability.

Protein Design​

Engineering proteins with novel functions and encanced stability​

Therapeutic Peptides

Designing bioactive peptides for diverse therapeutic applications

Immunoinformatics & Vaccinology

AI-driven epitope prediction, vaccine design, and immune response mode

Precision Therapeutics

AI-powered strategies for precision medicine and personalized

Welcome to KAGB
Knowledge-Augmented Generative Biology Lab

KAGB is a next-generation research platform that integrates biological knowledge, multimodal artificial intelligence, retrieval systems, biological memory, and scientific AI agents to accelerate intelligent therapeutic discovery
  • Founded and led by Dr. Amir Lakizadeh
  • AI for Knowledge-Augmented Generative Biology
  • Building the future of Biological Intelligence
"We develop foundational AI technologies including biological retrieval, memory, representation learning, and agentic reasoning that enable next-generation generative biology across proteins, antibodies, peptides, and precision therapeutics. We develop knowledge-augmented and agentic AI technologies for engineering next-generation biological therapeutics."
Amir Lakizadeh

Welcome to KAGB
Knowledge-Augmented Generative Biology Lab

  • Founded and led by Dr. Amir Lakizadeh
  • AI for Knowledge-Augmented Generative Biology
  • Building the future of Biological Intelligence
"We develop foundational AI technologies including biological retrieval, memory, representation learning, and agentic reasoning that enable next-generation generative biology across proteins, antibodies, peptides, and precision therapeutics. We develop knowledge-augmented and agentic AI technologies for engineering next-generation biological therapeutics."
Amir Lakizadeh
From bioinformatics to data science

Research Areas

Drug & Antibody Design

Drug & Antibody Design

AI models are used to design and optimize new antibodies and small-molecule drugs, accelerating the discovery process.

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Topic

Drug Repurposing & Interactions

Machine learning helps identify new uses for existing drugs and predict harmful drug–drug interactions.

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2010-2015

Polypharmacy Side Effects

We develop AI tools to detect potential adverse effects when multiple drugs are taken together.

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2010-2015

Therapeutic Peptide Design

AI-driven methods are applied to design antimicrobial, antifungal, and anticancer peptides for novel therapies.

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2010-2015

Identification of Cancer Driver Genes

By analyzing genomic data, our models predict cancer-related genes that play key roles in disease progression.

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2010-2015

Drug Synergy

We explore combinations of drugs that work better together than individually, enabling more effective treatments.

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2010-2015

Medical Diagnosis

From tumor detection to early diagnosis of autism, Alzheimer’s, and diabetic retinopathy, AI supports more accurate and faster medical decisions.

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2010-2015

Some AI-based applications

Our research also covers some distinct AI-based applications such as virtual try-on, voice conversion, driver drowsiness detection, sentiment analysis, image enhancement, and deepfake detection.

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From drug design to computer vision; powered by AI

Projects

The KAGB Lab translates cutting-edge AI research into real-world healthcare solutions. Our projects span two main areas: 1) computer vision, with a focus on intelligent diagnostics based on medical imaging data, and 2) pharmaceuticals, where AI is used for drug discovery, repurposing, and safety analysis. By uniting these research efforts, we accelerate innovation and move closer to safer, smarter, and more personalized treatments.
The KAGB Lab translates cutting-edge AI research into real-world healthcare solutions. Our projects span two main areas: 1) computer vision, with a focus on intelligent diagnostics based on medical imaging data, and 2) pharmaceuticals, where AI is used for drug discovery, repurposing, and safety analysis. By uniting these research efforts, we accelerate innovation and move closer to safer, smarter, and more personalized treatments.
The KAGB Lab translates cutting-edge AI research into real-world healthcare solutions. Our projects span two main areas: 1) computer vision, with a focus on intelligent diagnostics based on medical imaging data, and 2) pharmaceuticals, where AI is used for drug discovery, repurposing, and safety analysis. By uniting these research efforts, we accelerate innovation and move closer to safer, smarter, and more personalized treatments.

Pharma and Medicine based

Drug Design

University of Qom
2025

AI models generate and optimize novel drugs and antibodies

Drug Re-purposing

University of Qom
2024

Machine learning reveals new uses for existing drugs

Digital Pathology and Healthcare

University of Qom
2024

AI enhances cancer, Alzheimer’s, and skin disease diagnosis

Autism detection in children

University of Qom
2023

Vision transformers enable early autism screening.

Diabetic Retinopathy classification

University of Qom
2022

Deep learning automates diabetic retinopathy detection.

Retinal Blood Vessel Segmentation

University of Qom
2022

AI segments retinal vessels for improved eye disease diagnosis.

Vision Based Project

Virtual Try-On for Clothes

University of Qom
2025

Developed a Framework for Realistic Virtual Try-On using deep generating models

Voice Conversion

University of Qom
2024

Achieved state-of-the-art results in voice conversion using deep learning models for Persian speech

Driver Drowsiness Detection

University of Qom
2023

Developed a real-time driver drowsiness detection system implemented on a raspberry pi.

AI-Based Services

University of Qom
2022

development of 12 Core API services for Asiatech broadband provider

Contact

Contact With Us

The best science doesn't happen in isolation. That's why the KAGB is designed to Inspire Collaboration. It brings together cross-functional internal Teams and allows us to work with our members on the amazing lab, creating a vibrant environment that puts science and those living with disease at the heart of everything that we do.

Dr. Lakizadeh

Head of AI Research & Principal Scientist (Pharma & Medicine)

We are eager to partner with academic researchers, students, and industry professionals to push the boundaries of AI in drug discovery and healthcare innovation.

  • Phone: +98 (25) 3210-3513
  • Email: lakizadeh@qom.ac.ir
  • Email: lakizadeh@gmail.com