Making Protein Research Predictable

Making Protein Research Predictable

Orbion is a predictive platform that transforms protein understanding, design, and validation into a precise science — starting from crystallization. Protein research should not be a labyrinth of trial and error; it should be a pathway of discovery. It's time to focus on research, not the endless search.

Orbion is a predictive platform that makes protein design and validation a precise science—starting with crystallization. Protein research should be a clear path of discovery, not a labyrinth of trial and error.

Orbion is in beta—subscribe now to get early access.

Crystallization Recipes

The Orbion Platform accelerates the protein crystallization process by predicting the best conditions for a protein to crystallize successfully.

Smart Protein Design

To make the protein design simpler, Orbion predicts how a protein for a task should look like, and assists scientists during the process, before the design is complete.

Binding Simulations

To avoid potential problems before the cellular experiments, the proteins can be simulated inside cellular structure, based on the specified extrinsic variable values.

Explore Our Whitepaper: Towards Predictable Protein Crystallization with Orbion

Dive into Orbion's groundbreaking whitepaper introducing a transformative approach to protein crystallization. By integrating Physics-Informed Neural Networks with advanced computational techniques and extensive datasets, Orbion aims to overcome the unpredictable nature of crystallization. This innovative framework seeks to reduce trial-and-error experimentation, enabling structural biologists to achieve faster, more reliable outcomes.

You'll access the whitepaper upon entering your e-mail address.

Explore Our Whitepaper: Towards Predictable Protein Crystallization with Orbion

Dive into Orbion's groundbreaking whitepaper introducing a transformative approach to protein crystallization. By integrating Physics-Informed Neural Networks with advanced computational techniques and extensive datasets, Orbion aims to overcome the unpredictable nature of crystallization. This innovative framework seeks to reduce trial-and-error experimentation, enabling structural biologists to achieve faster, more reliable outcomes.

You'll access the whitepaper upon entering your e-mail address.

Explore Our Whitepaper: Towards Predictable Protein Crystallization with Orbion

Dive into Orbion's groundbreaking whitepaper introducing a transformative approach to protein crystallization. By integrating Physics-Informed Neural Networks with advanced computational techniques and extensive datasets, Orbion aims to overcome the unpredictable nature of crystallization. This innovative framework seeks to reduce trial-and-error experimentation, enabling structural biologists to achieve faster, more reliable outcomes.

You'll access the whitepaper upon entering your e-mail address.

Team

Team

Aniruddh Goteti
Co-founder

Aniruddh Goteti blends Generative AI expertise with a passion for discovery, crafting tools that simplify complex biotech processes, fostering innovation and accessibility.

Çağlar Bozkurt
Co-founder

Çağlar Bozkurt brings his innovation and growth expertise to make empowering and disruptive biotech tools inspired by a vision of science that connects and encourages discovery.

Backed by Experience

Be a part of the next leap in protein research and engineering.

Orbion © 2024 ·

Be a part of the next leap in protein research and engineering.

Orbion © 2024 ·

Be a part of the next leap in protein research and engineering.

Orbion © 2024 ·

Be a part of the next leap in protein research and engineering.

Orbion © 2024 ·

Explore Our Whitepaper

Learn how Orbion’s multi-modal PINN approach integrate physic laws to make protein crystallization predictable.