Tamarind Bio: No-code bioinformatics for scientists

TL;DR

We allow scientists to use cutting edge computational tools for drug discovery without writing any code. We currently provide protein structure prediction (AlphaFold/ColabFold), molecular docking and protein design resources. And would be excited to learn more what computational tools might be useful for scientists.

We also provide the infrastructure to use these open-source tools at large scales, including efficiently producing large numbers of protein structures along with protein design pipelines.

Check out our tools here: tamarind.bio/app

The Problem

Whether AlphaFold for protein structure prediction, RFdiffusion for binder design or DiffDock for small molecule docking; open source machine tools are massively useful for the life sciences. However, these tools remain inaccessible to the scientists who would benefit most from them, due to lack of technical expertise or in-house computational resources.

The Solution

Instead of implementing tools yourself:

Use Tamarind:

Tamarind is a website to use the state of the art computational tools in protein design, structure prediction and docking.

We met as undergrads at Stanford, where we studied Computer Science and conducted research, experiencing the inefficiencies of using bioinformatics tools firsthand. Today, hundreds of scientists from institutions including Stanford, Harvard and Oxford regularly use Tamarind to accelerate their work.

No more Linux terminals or outsourcing computational work, just focus on your science!

Asks

Try Tamarind out!

If you have or know anyone with the following backgrounds, please get in touch at founders@tamarind.bio. We’re very excited to learn about your work.

• Scientists in Drug Discovery - industry and academic
• Computational biologists in Structural Biology
• Anyone who might benefit from easy to use bioinformatics

Follow us on LinkedIn to stay updated!