SN
Saint Novel Biotech

Generative AI Platform for Drug Discovery

Revolutionizing drug development and accelerating clinical translation through our AI-driven antibody oligonucleotide conjugates (AOC) discovery platform.

Explore Our Technology Partner With Us
AI Scientist Working with Molecular Structures
AI Platform Active
70%
Reduction in Drug Discovery Time
85%
Success Rate in Target Identification
50+
Patents Filed

Our Technology

NexGenBio's proprietary AI platform combines cutting-edge machine learning algorithms with advanced molecular biology to revolutionize drug discovery.

Generative AI Platform

Our Generative AI platform leverages deep learning models to design novel therapeutic molecules with precise properties. By analyzing vast datasets of molecular structures and biological activities, our AI can generate optimized candidates that traditional methods would take years to discover.

  • De novo molecule design with targeted properties
  • Prediction of drug-target interactions with high accuracy
  • Optimization of pharmacokinetic and pharmacodynamic properties

AOC Discovery Platform

Our Antibody-Oligonucleotide Conjugates (AOC) platform represents a breakthrough in targeted therapeutics. By combining the specificity of monoclonal antibodies with the gene-silencing power of oligonucleotides, we're developing precision medicines that can address previously "undruggable" targets.

  • Precise targeting of disease-specific cells and tissues
  • Enhanced drug delivery to difficult-to-reach tissues
  • Reduced off-target effects and improved safety profiles
AOC Molecular Structure

Target Identification

AI-powered analysis of genomic and proteomic data to identify novel therapeutic targets with high clinical potential.

Virtual Screening

Rapid screening of billions of compounds to identify promising candidates with optimal binding properties.

Predictive Analytics

Machine learning models that predict drug efficacy, toxicity, and patient response to enable personalized medicine.

Our AI Scientists

Meet the brilliant minds behind our revolutionary drug discovery platform.

AI Scientists Team
DR

Dr. Rebecca Chen

Chief Scientific Officer

Ph.D. in Computational Biology with 15+ years of experience in AI-driven drug discovery. Former research lead at major pharmaceutical companies.

MA

Dr. Michael Anderson

Head of AI Research

Ph.D. in Machine Learning specializing in generative models for molecular design. Published over 30 papers in top AI journals.

SK

Dr. Sarah Kim

Head of AOC Development

Ph.D. in Molecular Biology with expertise in antibody engineering and oligonucleotide therapeutics. Inventor of 12 patents in targeted drug delivery.

Our Business Model

NexGenBio is revolutionizing the pharmaceutical industry through our innovative approach to drug discovery and development.

Value Proposition

Our Generative AI platform and AOC discovery technology provide a compelling value proposition to pharmaceutical partners, investors, and patients:

  • Accelerated Development

    Reduce drug discovery timeline from 5+ years to 18-24 months

  • Cost Efficiency

    Lower R&D costs by up to 60% through AI-driven optimization

  • Precision Targeting

    Access previously "undruggable" targets with our AOC technology

  • Improved Safety

    Enhanced specificity reduces off-target effects and toxicity

Partnership Model

We collaborate with pharmaceutical companies, biotech firms, and research institutions through various partnership models:

Co-Development

Joint development of therapeutic candidates with shared IP

Licensing

License our AI platform or AOC technology for specific therapeutic areas

Research Services

Custom AI-driven research for specific drug discovery challenges

Strategic Investment

Strategic partnerships with equity investment opportunities

Market Opportunity

Revenue Streams

Technology Licensing 40%
Research Services 25%
Co-Development Milestones 20%
Royalties 15%

AI Drug Discovery Workflow

Experience how our AI platform transforms drug discovery through an interactive visualization of our workflow.

1

Data Collection

Integration of genomic, proteomic, and clinical data from multiple sources.

2

Target Identification

AI algorithms identify and validate disease-specific therapeutic targets.

3

Molecular Design

Generative AI designs optimized antibody-oligonucleotide conjugates.

4

Clinical Translation

Accelerated preclinical testing and clinical trial design.

AI Drug Discovery Dashboard

Join Our Team

Be part of our mission to revolutionize drug discovery through AI-powered innovation.

Why Work at Saint Novel Biotech

Cutting-Edge Research

Work at the intersection of AI and biotechnology, pushing the boundaries of what's possible in drug discovery.

Collaborative Environment

Join a diverse team of experts from various disciplines, working together to solve complex challenges.

Impactful Work

Contribute to developing breakthrough therapies that have the potential to transform patients' lives.

AI Scientist

Full-time | Hong Kong

Active

About the Role

We are seeking a talented AI Scientist to join our team and help develop cutting-edge machine learning models for drug discovery. You will work closely with our computational biology and chemistry teams to design and implement novel AI approaches.

Key Responsibilities

  • Develop and implement machine learning models for molecular property prediction and generation
  • Design algorithms for target identification and validation
  • Collaborate with cross-functional teams to integrate AI solutions into drug discovery workflows
  • Stay current with the latest advances in AI and computational drug discovery

Requirements

  • Ph.D. in Computer Science, Machine Learning, or a related field
  • 3+ years of experience in developing AI models for drug discovery or related fields
  • Strong programming skills in Python, with experience in TensorFlow/PyTorch
  • Publication record in top AI or computational biology journals

Interdisciplinary Scientist

Full-time | Hong Kong

Active

About the Role

We are looking for an Interdisciplinary Scientist who can bridge the gap between computational and experimental approaches in drug discovery. This role requires expertise in both biological sciences and computational methods.

Key Responsibilities

  • Design and execute experiments to validate AI-generated hypotheses
  • Develop computational models based on experimental data
  • Collaborate with AI scientists to improve model performance
  • Contribute to the development of our AOC discovery platform

Requirements

  • Ph.D. in Molecular Biology, Biochemistry, or a related field with computational experience
  • Experience with antibody engineering and/or oligonucleotide therapeutics
  • Proficiency in data analysis using Python or R
  • Strong publication record in relevant scientific journals

Get in Touch

Interested in partnering with us or learning more about our technology? Reach out to our team.

Contact Information

Headquarters

123 Science Park Drive
Hong Kong Science Park
Hong Kong

Email

info@nexgenbio.ai
partnerships@nexgenbio.ai

Phone

+1 (617) 555-0123

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