basedlabs @based_labs

Open source virtual biolab github.com/BasedLabs/NoLa… Joined September 2023

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basedlabs @based_labs

9 months ago

We all know that researchers spend a significant amount of time searching arXiv for relevant papers. In our spare time, we decided to tackle this problem head-on. Introducing AI-powered arXiv Search 🔥 🔍 : A tool that can quickly pinpoint and summarize research topics from…

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basedlabs @based_labs

a year ago

NoLabs tutorial 1: Bioinformatics made easy

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basedlabs @based_labs

a year ago

Generate small molecules for any protein target

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basedlabs @based_labs

2 years ago

DiffDock is now supported on NoLabs: github.com/BasedLabs/NoLa… Access it easily via APIs or using our Docking workflow, straight from your browser

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basedlabs @based_labs

2 years ago

After rewriting NoLabs virtually from the ground up, we are excited about the acceleration we are about to experience. For the last several weeks, we've been revising our infrastructure to make it scalable and easy to use. Now, we're all set to rapidly expand with new models…

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basedlabs @based_labs

2 years ago

Based January

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Journal of Cheminformatics @jcheminf

2 years ago

new: "Structure-based, deep-learning models for protein-ligand binding affinity prediction" jcheminf.biomedcentral.com/articles/10.11…

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basedlabs @based_labs

2 years ago

Gonna start our own drug discovery research this year with our own infrastructure to push the boundaries and put some skin in the game

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basedlabs @based_labs

2 years ago

If you are a small lab struggling to have your own infrastructure with state of the art inference models for drug discovery or protein research we are here to help (let's chat)

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basedlabs @based_labs

2 years ago

We've been silent for quite some time but that's because we've been working really hard for this update: We now support uMol protein-ligand docking model, RFDiffusion for protein design and @openmm_toolkit with @GMX_TWEET for simulations🎉:

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basedlabs @based_labs

2 years ago

Grinding for the release this week 💻 While we are at it, does anybody know good ways to generate forcefields for unknown residues? Saw a couple of neural nets but curious what people generally do