Predict protein, nucleic-acid, and small-molecule complex structures with Chai-1.
npx skills add https://github.com/PKU-YuanGroup/OpenAI4S --skill chai1-pku-yuangroup
Please help me install this Agent Skill. Skill: chai1 Source: https://github.com/PKU-YuanGroup/OpenAI4S/tree/main/skills/chai1 Command: npx skills add https://github.com/PKU-YuanGroup/OpenAI4S --skill chai1-pku-yuangroup
Chai-1 is designed to address the challenges in protein, nucleic-acid, and small-molecule complex structure prediction, offering a solution for antibody-antigen or protein-ligand complex prediction and binder re-folding.
Run the run_inference function to predict the structure of a complex with a single FASTA file and GPU support.
High-intent search queries and answers about installing and using this skill.
To predict protein and nucleic-acid complex structures, run the `run_inference` function with a single FASTA file and GPU support. This executes batched structure predictions using the Chai-1 foundation model.
Yes, you can use this model for antibody-antigen and protein-ligand complex prediction. It accurately predicts protein, nucleic-acid, and small-molecule complex structures, also supporting binder re-folding.
Yes, you need a GPU for efficient batch processing and protein folding analysis. The Python integration utilizes GPU computation to handle large-scale structure prediction campaigns effectively.
An alternative to AlphaFold for complex structure prediction is the Chai-1 foundation model. It re-folds designed binders and predicts complex protein, nucleic-acid, and small-molecule structures using Python and GPU computation.
Yes, Chai-1 supports small-molecule and nucleic-acid structure prediction. It is specifically designed to address challenges in predicting complex structures involving proteins, nucleic acids, and small molecules.
ovachieverGenerate protein sequences, structures, and embeddings using ESM3 and ESM C models.
adaptyvbioPredict protein structures from FASTA sequences using Chai-1.
PKU-YuanGroupPredict protein, nucleic-acid, and small-molecule complex structures with Boltz-2.
PharMolixPredict antibody and nanobody structures from sequences using tfold-based models.
