Design data and process for the AdaptyvBio protein design competition
-
Updated
Dec 11, 2024 - Python
#
colabfold
Here are 3 public repositories matching this topic...
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.
computational-biology computational-chemistry msa perturbation multiple-sequence-alignment protein-folding alphafold perturbation-methods alphafold2 colabfold comp-bio multiple-sequence-alignments
-
Updated
Sep 2, 2025 - Python
A modular, extensible peptide design pipeline with target preparation, backbone generation, sequence design, scoring, and ranking. Full local CPU pipeline, and backend hooks for RFpeptides, ProteinMPNN/LigandMPNN, and ColabFold.
machine-learning bioinformatics computational-biology drug-discovery structure-prediction alphafold colabfold peptide-design rfdiffusion proteinmpnn
-
Updated
Nov 28, 2025 - Python
Improve this page
Add a description, image, and links to the colabfold topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the colabfold topic, visit your repo's landing page and select "manage topics."