Predict protein structures from FASTA sequences using Chai-1.
npx skills add https://github.com/adaptyvbio/protein-design-skills --skill chai
Please help me install this Agent Skill. Skill: chai Source: https://github.com/adaptyvbio/protein-design-skills/tree/main/skills/chai Command: npx skills add https://github.com/adaptyvbio/protein-design-skills --skill chai
This Skill enables rapid, scalable prediction of protein structures from sequence data using Chai-1, accelerating design, validation, and discovery in computational biology.
Run a quick prediction on a provided FASTA using the biomodals workflow: chai-lab predict --fasta complex.fasta --output predictions/
High-intent search queries and answers about installing and using this skill.
You can predict protein-protein complex structures by passing FASTA sequences to the Chai-1 workflow, which outputs CIF structure files and evaluation metrics like plddt and pae.
Yes, high-throughput protein structure prediction is supported via the Chai API, allowing you to batch process sequences and integrate predictions directly into screening pipelines.
When predicting protein-ligand complex structures, you can adjust parameters including num_trunk_recycles, num_diffn_timesteps, and seed to refine the resulting CIF outputs.
Yes, Chai-1 supports binder validation by generating rapid, scalable structure predictions, allowing you to compare scoring metrics and select top design candidates.
Predicting protein structures generates CIF structure files alongside metrics such as plddt and pae, providing quantitative confidence scores for your predicted complexes.
NVIDIA-BioNeMoPredict 3D biomolecular structures for proteins, DNA, RNA, and ligands via OpenFold3 NIM.
nahisahoFetch AlphaFold predictions and analyze pLDDT confidence metrics for UniProt proteins.
RamanEbrahimiSubmit protein experiments and track results via API-authenticated cloud lab.
junior1pPredict protein structures with Chai-1 and output CIF models with scores.
