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NeoBody™: Lab-in-the-loop AI for Highest Possible Affinities

Pre-trained Ab language model (> 10   )

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10

High-throughput screen by  iHTS™

Modern laboratory equipment or industrial machine used in scientific research

Reference Ab seq

> 10,000 variants with diversity amongst all variants

Automated Affinity scoring and ranking model

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Most comprehensive optimized novel mabs with industry leading affinities

Bayesian-based exhaustive in silico screen

3D surface plot showing data distribution or scientific modeling analysis

AbMap™: Proprietary AI antibody sequences allowing maximum diversity and affinity gains

Multi-granularity antibody database

Abs with known Ags

Abs from human

Cancer specific

Al-generated VHHs

Advantages of the proprietary database

Greatest Diversity

(Proprietary database generated internally)

Increasing Rate

(> 100%/Y)

Highest Quality

(H-L paired；Ag-Ab paired)

Database Expanding

(> 10^10)

Case Study: Best-in-Class Clinical Stage Ab Created

Challenges

  • Maximize affinity and generate novel IP while maintaining all functionality;

  • Must bind to identical epitope of the given antibody;

  • Affinity to be orders of magnitude  higher than given antibody;

  • Internalization rate had to be similar to the given antibody;

  • Program to be delivered in 2 months.

1st Deep-Learning Modeling Run

  1. Generate 100K sequences from > 10   sequences.

  2. Construct a phage library and high-throughput screen by  iHTS™

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Deep-Learning

  1. Generate 20 sequences.

  2. Affinity, internalization, and epitope test.

Results

  • Best-in-Class mab created with FTO and new IP generated;

  • Superior clinical properties to incumbent mabs in clinic.

  • Specificity to epitope achieved;

  • Orders of magniture higher affinity than the reference Ab.

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Affinity Dramatically Increased Against Same Epitope

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Consistent internalization acheived

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 Expanded diversity to maximize candidates for selection

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