A new era of protein
designers.
Powering the future of purpose-built proteins.
Fable's innovative machine learning strategy harmonizes biology with computation, revolutionizing therapeutic development.
Our platform leverages extensive public and proprietary datasets housing billions of sequences, alongside protein structures, protein-protein interactions, all tied together through a sophisticated machine learning infrastructure. The result?
Precision-engineered biologics tailored for optimal potency, developability, binding affinity, and target engagement geometry.
The benefits of
purposeful design.
Our approach is designed to overcome current therapeutic index limitations and channel response, where and when it matters.
This capability empowers us to craft innovative medicines tailored to tackle complex biological challenges.
Alanine 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.
Precision platform
designed to solve
for complexity.
At the core, we utilize two proprietary foundation models: a structure-based model and a sequence-based model.
Through precision engineering at the atomic scale, our platform learns patterns within the 3-D structures and amino acid sequences of proteins and protein complexes.
Structure
Our structure model is pre-trained on a large set of data, built on state-of-the-art architectures and optimally reasoning in 3-D spaces.
Sequence
Our sequence model is pre-trained on billions of sequences, learning the languages of biologics.

De novo design
Our continuous-time diffusion model generates novel binders just based on target structure.
optimization
Our platform enables rapid generation of novel designs with optimized potency and developability properties.
“The pace of progress in the
field is astounding.
At Fable, we remain at
the forefront of advancing
cutting-edge methods,
models, and tools.”

Setting our
platform apart.
Our 7 key differentiators drive precise protein design, seamlessly integrating binding and developability criteria into lead candidates.
“Powering an ML platform
to deliver better medicines
requires an unrelenting
focus at the bench to
continuously generate data
of the highest quality.”

We've assembled a team with diverse and specialized skill sets, uniquely equipping us to explore the fast-paced world of protein design and drive forward new possibilities in medicine.
Arginine Parallax




