Generate protein sequence embeddings using Meta AI's ESM-2 model.
npx skills add https://github.com/guanxiaol/open-science --skill fair-esm2
Please help me install this Agent Skill. Skill: fair-esm2 Source: https://github.com/guanxiaol/open-science/tree/main/runtime/skills/fair-esm2 Command: npx skills add https://github.com/guanxiaol/open-science --skill fair-esm2
This Skill simplifies the process of embedding proteins with ESM-2 for various applications like machine learning, mutation effect scoring, and contact prediction.
Use the fair-esm2 skill to generate embeddings for the protein sequence 'MQIFVKTLTGKTITLEVEPSDTIENVK'.
High-intent search queries and answers about installing and using this skill.
Protein embeddings for machine learning are generated by processing amino acid sequences through Meta AI's ESM-2 model to extract numerical vector representations for downstream analysis.
Yes, you can score mutation effects on proteins using ESM-2. The Skill applies the model to evaluate sequence changes and calculate the resulting mutation scores.
Predicting protein contacts from a sequence is handled by applying the ESM-2 model to extract structural relationship data. This Skill utilizes the model's output to identify contact predictions.
Yes, you need a GPU with CUDA 11.7 or higher to run ESM-2 protein embedding. Additionally, the 'fair-esm' package must be installed to support the model's processing requirements.
No, the fair-esm2 Skill does not work without the 'fair-esm' package. This dependency is required to execute the underlying ESM-2 model operations for embedding generation and scoring.
omar-A-hassanGenerate per-residue and per-sequence embeddings with ESM-2 and predict structures via ESMFold.
LogauaEngstromDesign, analyze, and derive protein embeddings using ESM3 and ESM C models.
biomaps-infraManipulate biological sequences and parse FASTA, GenBank, PDB, and mmCIF files.
galeepGenerate protein sequences, predict structures, and create embeddings with ESM3 and ESM C models.
