Noot (@nootlabs_) 's Twitter Profile
Noot

@nootlabs_

🧬 SynBio PhD Candidate
🏠 Setting up my home lab
🧫 Follow me for updates and tips on low-cost lab equipment and protocols
#diybio #opensource #labonthecheap

ID: 1590006376205496320

linkhttps://nootlabs.substack.com/ calendar_today08-11-2022 15:40:56

540 Tweet

811 Followers

160 Following

Max Wilkinson (@maxewilkinson) 's Twitter Profile Photo

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. (πŸ‘‡ I recommend sound ON for the video 🎹) 1/

Brianna Bibel (@biochem_bri) 's Twitter Profile Photo

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)

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 <a href="/iubmb/">IUBMB</a> puzzle)
Biology+AI Daily (@biologyaidaily) 's Twitter Profile Photo

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

Computational design of serine hydrolases <a href="/UWproteindesign/">Institute for Protein Design</a>

πŸš€ New preprints from David Baker! πŸš€

1. Groundbreaking study uses advanced computational design to create novel serine hydrolases with unprecedented catalytic efficiencies. These new enzymes could revolutionize
Ajasja πŸ’»πŸ§¬πŸ”¬ (@ajasjaljubetic) 's Twitter Profile Photo

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

Google DeepMind (@googledeepmind) 's Twitter Profile Photo

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

Biology+AI Daily (@biologyaidaily) 's Twitter Profile Photo

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/

De novo design of high-affinity protein binders with AlphaProteo <a href="/GoogleDeepMind/">Google DeepMind</a> 

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/
Noot (@nootlabs_) 's Twitter Profile Photo

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

Ajasja πŸ’»πŸ§¬πŸ”¬ (@ajasjaljubetic) 's Twitter Profile Photo

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

Biology+AI Daily (@biologyaidaily) 's Twitter Profile Photo

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

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
Max Planck Society (@maxplanckpress) 's Twitter Profile Photo

Calling all emerging scientists - it’s time to send us an application! πŸ˜‰πŸ˜Ž Lead your own #MaxPlanck Research Group w/ €2.7M in funding over 6 yrs, full independence & resources to hire staff. State-of-the-art infrastructure awaits you!🌟 Apply today➑️mpg.de/career/max-pla…

Biology+AI Daily (@biologyaidaily) 's Twitter Profile Photo

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

The simplicity of protein sequence-function relationships <a href="/NatureComms/">Nature Communications</a> 

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
Eric Dai (@ericdai_bioe) 's Twitter Profile Photo

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). πŸ–₯️🧬 Chai-1 predicted 9CBK's

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).  πŸ–₯️🧬 

Chai-1 predicted 9CBK's