NAIBio Development Platform

Advanced protein analysis and antibody development suite integrating state-of-the-art AI models and computational biology tools

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Integrated Tools

Access cutting-edge protein structure prediction and antibody engineering tools through a unified interface

AlphaFold 3

The latest generation of DeepMind's groundbreaking protein structure prediction model, achieving unprecedented accuracy in predicting protein folding.

  • Structure prediction from protein sequence
  • Complex prediction (protein-protein interactions)
  • Binding site prediction
  • Integration with visualization tools

SAbPred Suite

A comprehensive suite of tools for the structural analysis and prediction of antibody properties, developed by the Oxford Protein Informatics Group.

  • Antibody structure modeling
  • Antigen-antibody complex prediction
  • Developability assessment
  • Therapeutic antibody analysis

AbBodyBuilder 2

Advanced tool for antibody structure prediction and modeling, allowing researchers to design and optimize antibodies with greater precision.

  • CDR loop modeling
  • Framework region prediction
  • Humanization support
  • Sequence optimization

Auxiliary Tools

Additional resources and tools for comprehensive protein and antibody analysis, extending the capabilities of the core prediction engines.

  • Sequence alignment
  • Molecular visualization
  • Epitope prediction
  • Structure comparison

Antibody Development Workflow

Streamline your antibody discovery and development process with our integrated toolchain

1
Antigen Analysis
2
Epitope Prediction
3
Antibody Design
4
Structure Prediction
5
Optimization

Step 1: Antigen Analysis

Begin by analyzing your target antigen using AlphaFold 3 to predict its structure. This forms the foundation for understanding potential binding sites.

  • Upload antigen sequence
  • Predict 3D structure with AlphaFold
  • Analyze surface properties
  • Identify functional domains

Step 2: Epitope Prediction

Identify potential antibody binding sites (epitopes) on your target antigen using computational prediction tools.

  • B-cell epitope prediction
  • Surface accessibility analysis
  • Conserved region identification
  • Epitope scoring and ranking

Step 3: Antibody Design

Design antibody sequences targeting the identified epitopes using SAbPred and other design tools.

  • CDR design based on epitope
  • Framework selection
  • Developability assessment
  • Sequence optimization

Step 4: Structure Prediction

Predict the structure of your designed antibody and validate its potential binding to the target antigen.

  • Antibody structure modeling with AbBodyBuilder
  • Antigen-antibody complex prediction
  • Binding energy estimation
  • Structural validation

Step 5: Optimization

Refine your antibody design based on structural insights and predicted properties to improve binding and developability.

  • Affinity maturation suggestions
  • Stability enhancement
  • Manufacturability improvement
  • Final candidate selection

Documentation & Resources

Comprehensive guides and resources to help you make the most of the NAIBio Dev platform

User Guides

Detailed instructions on how to use each tool in the NAIBio Dev platform.

Tutorials

Step-by-step tutorials for common antibody development workflows.

API Documentation

Technical documentation for integrating tools into your own workflows.

Publications

Key research papers related to the tools integrated in the platform.

About NAIBio Development

A comprehensive platform integrating cutting-edge AI tools for protein analysis and antibody development

Our Mission

NAIBio Dev aims to accelerate therapeutic antibody discovery and development by providing researchers with access to state-of-the-art computational tools in a unified platform. By integrating AlphaFold 3, SAbPred, and other powerful tools, we enable faster, more efficient antibody engineering workflows.

Technology

Our platform leverages breakthroughs in AI-powered protein structure prediction and antibody engineering. We integrate tools from leading research groups, including Google DeepMind's AlphaFold 3 and Oxford Protein Informatics Group's SAbPred suite, providing a seamless experience for researchers.

Contact

For questions, support, or collaboration inquiries:

  • Email: support@naibio.dev
  • GitHub: github.com/naibiodev
  • Twitter: @NAIBioDev
  • LinkedIn: linkedin.com/company/naibiodev
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