esm

The esm skill provides a comprehensive toolkit for working with protein language models, specifically designed to address challenges in protein design, function prediction, and representation learning. By utilizing advanced models like ESM3 and ESM C, this skill allows researchers and developers to generate novel protein sequences, predict structures from sequences, and create efficient protein embeddings. It aims to improve the understanding of proteins' roles in biological processes and facilitate the design of proteins with desired characteristics, ultimately accelerating scientific discovery in the field of biotechnology and bioinformatics.

The main features of this skill include protein sequence generation using ESM3, which supports multimodal generative modeling across sequence, structure, and function. Additionally, it offers capabilities for structure prediction and inverse folding, enabling users to generate sequences that correspond to specific protein structures. The ESM C model enhances the process of generating high-quality embeddings, suitable for various downstream tasks like classification and similarity analysis. This flexibility allows users to perform protein engineering tasks effectively, whether they are working locally or utilizing the cloud-based Forge API for scalable inference.

Target users for the esm skill include bioinformaticians, researchers in protein engineering, and developers working in biotechnology who require tools for designing proteins or analyzing protein sequences and structures. With its state-of-the-art capabilities, the esm skill serves as an essential resource for advancing research and applications in protein science.