Shaping the future of
protein-based medicine.

Fable Therapeutics was founded with a conviction to revolutionize drug discovery through the purposeful integration of AI techniques. 

Our cross-functional team of ML scientists and drug hunters collaborate to design novel medicines with expanded therapeutic potential.

With this passion and vision, we’re designing the future of drug discovery.

Aspartic Acid Parallax

A timeline of firsts.

Our team is at the forefront of applying artificial intelligence to protein design. Here are seminal publications from the past decade.

2016

First

to screen fully designed protein

libraries

(Science Adv. 2016)

to screen fully designed protein libraries

(Science Adv. 2016)

2017

First

protein backbone generative

model

(PLOS CB, 2017)

protein backbone generative model

(PLOS CB, 2017)

2019

First

graph neural network for

protein design

(bioRxiv 2019, Cell Syst 2020)

graph neural network for protein design

(bioRxiv 2019, Cell Syst 2020)

2020

First

pre-trained graph transformer for peptide binding site prediction

(bioRxiv 2020, Commun Biol 2022)

pre-trained graph transformer for peptide binding site prediction

(bioRxiv 2020, Commun Biol 2022)

2021

First

to show LLM embeddings improve mutation effect prediction

(JMB 2021)

to show LLM embeddings improve mutation effect prediction

(JMB 2021)

2022

First

validated protein backbone

diffusion model

(bioRxiv 2022, Nature Comp Sci 2023)

validated protein backbone diffusion model

(bioRxiv 2022, Nature Comp Sci 2023)

2023

First

hierarchical transformer; LLM to solve ZF design

hierarchical transformer; LLM to solve ZF design

"Biology is fundamentally
a data science and we are
now writing the next chapter
of what programmable
protein-based
therapeutics can do.”

Geoff MacKay, CEO

The platform that drives our story.

The Fable ML approach is purpose-built to control complex biology:

  • De novo design leads to a specific epitope with precision.
  • Sequence space exploration to optimize multiple properties.
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Tyrosine Parallax

The people driving
the vision.

Our story wouldn’t be possible without great talent. Our multidisciplinary team of machine learning experts, data scientists, protein engineers, structural biologists and business professionals transcend disciplines and collectively translate new ideas into innovation.

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