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My favourite discovery ever has just come online. Can I please tell you about some seriously wacky molecular biology? The story starts with a reverse transcriptase that SOMEHOW defends bacteria from viruses. (👇 I recommend sound ON for the video 🎹) 1/

I went ahead and put my "Know your amino acids" chart on Zenodo as well if anyone wants a citeable DOI-ed version. Bibel, B., & The bumbling biochemist. (2021). Know your amino acids chart. Zenodo. doi.org/10.5281/zenodo… (as featured on the IUBMB puzzle)

Computational design of serine hydrolases Institute for Protein Design 🚀 New preprints from David Baker! 🚀 1. Groundbreaking study uses advanced computational design to create novel serine hydrolases with unprecedented catalytic efficiencies. These new enzymes could revolutionize

I want to do protein design soooooo bad but don't know where to start

overly honest phd thesis:

I love this

I know colleagues that do this

I can't believe both Rosetta and PyRosetta are conda installable now -- we are truly living in the future! 🚀🚀🚀 (During my PhD it took me two weeks just to install PyRosetta, now it's a few minutes :)

We’re presenting AlphaProteo: an AI system for designing novel proteins that bind more successfully to target molecules. 🧬 It could help scientists better understand how biological systems function, save time in research, advance drug design and more. 🧵 dpmd.ai/3XuMqbX

De novo design of high-affinity protein binders with AlphaProteo Google DeepMind 1/ AlphaProteo is a new machine learning system for designing high-affinity protein binders. It achieves 3-300x better binding affinities and success rates compared to existing methods. 2/

Daily reminder to not take the nonsense from the department admin staff too seriously. Some of these people have no life.

Due to popular demand, here are the install instructions: 👇👇👇 conda install -c 'conda.graylab.jhu.edu' rosetta 👆👆👆 Also check out the docker containers: hub.docker.com/r/rosettacommo… Thanks to Sergey Liskov for making this happen! (Commercial use requires a licence)

The Protein Design Archive (PDA): insights from 40 years of protein design - The Protein Design Archive (PDA) is a comprehensive resource, compiling 40 years of designed proteins from various methodologies. It includes both sequence- and structure-based data. - One of the key

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Molecular docking in 35 seconds ⏲ Try: 310.ai/copilot/d1b44e… Learn: 310.ai/docs/docking

The simplicity of protein sequence-function relationships Nature Communications 1. This study presents a reference-free framework for understanding protein sequence-function relationships, revealing that protein function is largely determined by context-independent amino acid effects

A good test for any structure prediction model is its predictive accuracy for novel entrants to the PDB. I just ran Chai-1 on structure 9CBK released yesterday on the PDB (and importantly not yet included in the training set for Chai-1). 🖥️🧬 Chai-1 predicted 9CBK's

Papers like this make me want to go treasure hunting Indiana Jones style

This is gonna change my life

No way! 🤯 The Baker lab will have a podcast about biology, chemistry and AI!