Generate, predict, and analyze protein sequences and structures with ESM3.
npx skills add https://github.com/tassiovale/claude-code-kit --skill esm-tassiovale
Please help me install this Agent Skill. Skill: esm Source: https://github.com/tassiovale/claude-code-kit/tree/main/skills/esm Command: npx skills add https://github.com/tassiovale/claude-code-kit --skill esm-tassiovale
This Skill provides powerful tools for protein design and analysis, enabling users to generate sequences, predict structures, and analyze functions using Evolutionary Scale Modeling (ESM) technology.
Use the esm skill to generate a protein sequence with the desired properties, e.g., sequence="MPRTKEINDAGLIVHSPQWFYK" function_annotations=["enzymatic_activity"].
High-intent search queries and answers about installing and using this skill.
You can predict 3D protein structures from amino acid sequences using Evolutionary Scale Modeling. This Skill applies ESM models to translate sequence data into structural predictions for biological research and drug discovery.
Designing novel proteins with specific functions is best achieved through ESM3 generative modeling. You can condition sequence generation on desired functional annotations to create targeted protein designs for drug discovery.
Generate high-quality protein embeddings using ESM models to enable downstream function prediction and similarity analysis. These embeddings represent sequences mathematically, allowing you to classify proteins or analyze their structural relationships.
Yes, you can process multiple protein sequences in batch for structure prediction. By utilizing the Forge API, you can efficiently run bulk protein analysis and sequence generation tasks across large datasets.
Yes, you need the ESM3 SDK and Forge API access to run ESM protein analysis. These dependencies are required to execute the evolutionary scale modeling tasks for sequence generation and structure prediction.
Chain-of-thought generation refines protein design iteratively by applying ESM3's generative modeling in steps. This approach allows you to progressively improve protein sequences and structures based on intermediate functional feedback.
Zeyuyang-0420Model protein sequences, structures, and functions using ESM3 and ESM C.
OwnLabAIGenerate protein-ligand docking poses with diffusion models and confidence scores.
Estrella-231Generate protein sequences, predict structures, and extract embeddings with ESM3 and ESM C.
rubenslivRetrieves AlphaFold protein structures and confidence metrics by UniProt IDs.
