MMseqs2 app to run on your workstation or servers
Protein 3D structure prediction pipeline
Local Interaction Score (LIS) Calculation from AlphaFold-Multimer (Enhanced Protein-Protein Interaction Discovery via AlphaFold-Multimer)
Design data and process for the AdaptyvBio protein design competition
Stand-alone server for structural proteome curation
MSAffect is a computational pipeline to evaluate the robustness of AlphaFold2 protein structure predictions under adversarial MSA perturbations to identify structural sensitivity and confidence shifts in neural-network-based folding.
Predict protein folding structures using ColabFold. Gain a deeper understanding of protein folding prediction with AlphaFold2 and MMseqs2. Run the Jupyter notebook on UCloud, learn to interpret results, predict protein structures of interest. Technical requirements provided. Enhance your knowledge of protein folding and AlphaFold2's principles. Fam
Predict 3D protein structures using AlphaFold2 via ColabFold, with visualizations of per-residue confidence and alignment error
Predict 3D protein structures using AlphaFold2 via ColabFold, with visualizations of per-residue confidence and alignment error.
🧬 Lectures for course ML-protein-design
Proteus: A Django-based web application for a semi-automated computational pipeline in synthetic protein design, integrating ColabFold, GROMACS, and ML ranking.
AlphaFold pulldown implementation adapted from https://github.com/KosinskiLab/AlphaPulldown
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