Tamarind Bio (@tamarindbio) 's Twitter Profile
Tamarind Bio

@tamarindbio

Tamarind is a web app and API for the leading protein design tools, trusted by thousands of industry scientists including many global top 20 biopharma.

ID: 1737319423818739712

linkhttps://www.tamarind.bio calendar_today20-12-2023 03:50:18

1 Tweet

148 Followers

11 Following

Deniz Kavi (@kavi_deniz) 's Twitter Profile Photo

We can computationally design de novo (mini)binders, what are the best scientists using it for? Scientists have now generated close to 100,000 de novo designs using BindCraft, RFdiffusion, and others on Tamarind Bio, here are the highlights: 1/🧵

Deniz Kavi (@kavi_deniz) 's Twitter Profile Photo

Excited to announce our new product: AI Protein Design Copilot Tamarind Bio has been the leading provider to use the top AI tools in computational protein engineering. Today we announce a completely new way to interface with computational molecular design. Available now!

Deniz Kavi (@kavi_deniz) 's Twitter Profile Photo

Will AI-designed proteins break biologics patents? If your IP strategy still relies on “≥80 % sequence identity,” it might be time for a rethink. Thread👇 Tools like ProteinMPNN from the Baker Lab, take an existing e.g. AbAg complex or enzyme and can replace substantial parts

Will AI-designed proteins break biologics patents?

If your IP strategy still relies on “≥80 % sequence identity,” it might be time for a rethink.

Thread👇

Tools like ProteinMPNN from the Baker Lab, take an existing e.g. AbAg complex or enzyme and can replace substantial parts
Derya Unutmaz, MD (@deryatr_) 's Twitter Profile Photo

I haven’t had a chance to test this AI tool for protein engineering yet, but it looks very interesting! Deniz, you’re also very welcome to our community.

Deniz Kavi (@kavi_deniz) 's Twitter Profile Photo

A new best structure prediction protocol! Use it on Tamarind Bio today: app[dot]tamarind[dot]bio Thread 👇 On the comprehensive FoldBench benchmark, IntFold’s performance is comparable to AlphaFold 3 and significantly exceeds other contemporary models (Boltz-1, 2, Chai-1,

Deniz Kavi (@kavi_deniz) 's Twitter Profile Photo

Are mini proteins the new antibodies? Mini proteins are highly stable, easy to manufacture, and very quick to design thanks to recent AI methods. Unlike mAbs, there is a large body of structural data to train machine learning models on to generate de novo mini protein binders.

Deniz Kavi (@kavi_deniz) 's Twitter Profile Photo

When are AI-designed drugs making it to patients? No AI-designed medicine is on pharmacy shelves yet, but the first wave of molecules now in Phase 2/early Phase 3 (chiefly rentosertib for IPF). Here's where we are, a thread👇

Deniz Kavi (@kavi_deniz) 's Twitter Profile Photo

How Genentech/Prescient Design use AI to design 3-100x better antibodies Genentech uses lab in a loop as an iterative approach for designing antibodies by marrying generative machine learning models, property predictors and data from in vitro experimentation. Thread👇 The

How Genentech/Prescient Design use AI to design 3-100x better antibodies 

Genentech uses lab in a loop as an iterative approach for designing antibodies by marrying generative machine learning models, property predictors and data from in vitro experimentation.

Thread👇 

The
Deniz Kavi (@kavi_deniz) 's Twitter Profile Photo

How Can We Computationally Solubilize Membrane Proteins? Thread 👇 Membrane proteins are not members of the soluble proteome, i.e. their structure cannot be maintained outside of the membrane/in solution. Traditionally, the solubilization would be done using detergent, but this

How Can We Computationally Solubilize Membrane Proteins?

Thread 👇

Membrane proteins are not members of the soluble proteome, i.e. their structure cannot be maintained outside of the membrane/in solution. Traditionally, the solubilization would be done using detergent, but this
Deniz Kavi (@kavi_deniz) 's Twitter Profile Photo

A warning that proteins are highly dynamic molecules 1/🧵 Unlike what we get from AlphaFold, proteins don't exist as single, static molecules in the body. Structure prediction methods, while highly valuable, provide only a single moment in a protein's existence. There are

Deniz Kavi (@kavi_deniz) 's Twitter Profile Photo

Should we stop humanizing antibodies? Recombinant DNA, and mAb production started the antibody engineering revolution, followed by chimerics and humanization via grafting antigen-binding regions to human frameworks. 1/🧵 Two decades apart, Clark (2000) and Getts et al.

Should we stop humanizing antibodies?

Recombinant DNA, and mAb production started the antibody engineering revolution, followed by chimerics and humanization via grafting antigen-binding regions to human frameworks.  

1/🧵 

Two decades apart, Clark (2000) and Getts et al.