How does it help with GPU selection?

The skill provides a mapping of specific protein design tools to the most efficient GPU types (like A10G or L40S) to optimize cost and performance.

Does it install RFdiffusion and BoltzGen locally?

No, it sets up the Modal environment which allows you to run these heavy models on cloud GPUs, saving you from complex local installation requirements.

Do I need a Modal account to use this skill?

Yes, a Modal account is required. The skill guides you through the 'modal setup' process to authorize your machine to run cloud-based protein design models.

What does the Protein Design Setup skill do?

It automates the installation of Modal CLI, handles authentication, and clones the biomodals repository to prepare your environment for protein design tasks.

What should I do if I see a 'modal: command not found' error?

This skill detects that error and provides the necessary pip installation and shell rehash commands to restore functionality immediately.

Protein Design Setup

Name: Protein Design Setup
Author: adaptyvbio

byadaptyvbio

•

Data Science & ML

Configures and troubleshoots the environment for running serverless protein design tools via Modal and biomodals.

This skill automates the onboarding process for computational biologists and developers using the protein-design-skills repository. It provides guided setup for the Modal CLI, manages authentication workflows, clones necessary biomodals repositories, and offers automated troubleshooting for common errors like missing dependencies or GPU selection issues. By streamlining the initial configuration, it ensures users can quickly transition to running high-performance models like RFdiffusion, BoltzGen, and Chai-1 without manual environment debugging.

Key Features

01Interactive verification checklists for environment readiness

02GPU selection optimization for specific protein engineering tasks

0375 GitHub stars

04Repository cloning and environment verification for biomodals

05Automated Modal CLI installation and authentication guidance

06Real-time troubleshooting for command-not-found and permission errors

Use Cases

01Resolving authentication and path errors when running serverless design scripts

02Setting up a new development environment for computational protein engineering

03Configuring specialized GPU resources for large-scale protein complex design

Key Features

01Interactive verification checklists for environment readiness

02GPU selection optimization for specific protein engineering tasks

0375 GitHub stars

04Repository cloning and environment verification for biomodals

05Automated Modal CLI installation and authentication guidance

06Real-time troubleshooting for command-not-found and permission errors

Use Cases

01Resolving authentication and path errors when running serverless design scripts

02Setting up a new development environment for computational protein engineering

03Configuring specialized GPU resources for large-scale protein complex design