solublempnn
🎯Skillfrom adaptyvbio/protein-design-skills
|Predicts protein solubility using machine learning and physics-informed neural networks to assess the likelihood of a protein's successful expression and stability.
Installation
npx skills add https://github.com/adaptyvbio/protein-design-skills --skill solublempnnSkill Details
Overview
Install
```
/plugin marketplace add adaptyvbio/protein-design-skills
/plugin install adaptyv@protein-design-skills
```
---
Setup (first time)
→ [Getting started](docs/getting-started.md)
---
Skills
→ [View all 21 skills](docs/skills.md)
---
Pipeline
→ [Standard pipeline](docs/standard-pipeline.md)
---
Quick start
> "Design a binder for PDB 1ALU"
Claude will automatically use the right skills (BoltzGen → Chai → QC).
---
Links
- [Getting started](docs/getting-started.md)
- [Skills](docs/skills.md)
- [Standard pipeline](docs/standard-pipeline.md)
- [Compute setup](docs/compute-setup.md)
- [Contributing](CONTRIBUTING.md)
---
Contributing
Creating a new skill
The easiest way to create a new skill is with Claude Code:
```
/skill skill-creator
```
This uses [Anthropic's skill-creator](https://github.com/anthropics/skills/tree/main/skills/skill-creator) to guide you through the process.
See [CONTRIBUTING.md](CONTRIBUTING.md) for detailed guidelines.
---
License
MIT
References
- [biomodals](https://github.com/hgbrian/biomodals) - Modal execution wrappers
- [Anthropic Skills](https://github.com/anthropics/skills) - Skills specification
More from this repository10
Analyzes and quantifies protein-protein or protein-ligand binding interactions, measuring binding affinity, interface characteristics, and interaction energetics.
rfdiffusion skill from adaptyvbio/protein-design-skills
boltz skill from adaptyvbio/protein-design-skills
Retrieves, parses, and processes Protein Data Bank (PDB) files for protein design and analysis tasks.
protein-qc skill from adaptyvbio/protein-design-skills
Transforms and refines protein designs by applying machine learning-guided structural optimization and quality filtering.
Designs protein-ligand complexes using the MPNN (Masked Protein Neural Network) approach, optimizing protein structures for specific ligand binding.
Enables rapid prototyping and experimental validation of designed proteins by simulating cell-free protein expression and synthesis workflows.
Orchestrates the end-to-end computational protein design process by coordinating multiple skills and guiding the workflow from initial design to final quality control.
bindcraft skill from adaptyvbio/protein-design-skills