What models does the ESM skill support?

It supports the ESM3 generative family for sequence and structure design, and the ESM C family for efficient protein embeddings and representations.

What is the Forge API in the context of ESM?

The Forge API is a cloud-based service by EvolutionaryScale that allows for scalable inference and access to high-performance models like ESM3-Medium and ESM3-Large.

Is functional conditioning supported?

Yes, ESM3 allows for function-conditioned generation, enabling you to design proteins by specifying desired functional annotations or labels.

Can I use ESM models locally with this skill?

Yes, the skill supports local usage of open-weight models like esm3-sm-open-v1 and esmc-300m, as well as remote inference via the Forge API.

Does this skill handle structure-to-sequence tasks?

Yes, it includes capabilities for inverse folding, which allows you to generate amino acid sequences that fold into a specific target 3D structure.

ESM Protein Engineering Toolkit

Name: ESM Protein Engineering Toolkit
Author: Activer007

byActiver007

数据科学与机器学习

Facilitates advanced protein design, structure prediction, and representation learning using ESM3 and ESM C models.

关于

The ESM skill integrates state-of-the-art protein language models into your workflow, enabling sophisticated tasks such as generative sequence design, 3D structure prediction, and high-quality protein embeddings. Whether you are performing inverse folding to find sequences for specific structures or using the Forge API for scalable inference, this toolkit provides the domain-specific guidance and implementation patterns needed for modern protein engineering and bioinformatics research.

主要功能

Multimodal generative protein design across sequence, structure, and function
0 GitHub stars
Support for both local inference and cloud-based Forge API
High-quality protein embeddings with ESM C for downstream ML tasks
Chain-of-thought generation for iterative protein design refinement
Inverse folding to generate sequences from target 3D structures

使用场景

Designing novel proteins with specific functional properties like fluorescence
Predicting 3D structures from protein sequences for drug discovery
Generating protein variants for library screening and engineering

关于

主要功能

Multimodal generative protein design across sequence, structure, and function
0 GitHub stars
Support for both local inference and cloud-based Forge API
High-quality protein embeddings with ESM C for downstream ML tasks
Chain-of-thought generation for iterative protein design refinement
Inverse folding to generate sequences from target 3D structures

使用场景

Designing novel proteins with specific functional properties like fluorescence
Predicting 3D structures from protein sequences for drug discovery
Generating protein variants for library screening and engineering