> ## Documentation Index
> Fetch the complete documentation index at: https://docs.adaptyvbio.com/llms.txt
> Use this file to discover all available pages before exploring further.

# SolubleMPNN

> Sequence design with solubility-aware objectives

<Info>
  SolubleMPNN extends ProteinMPNN with solubility-aware training/objectives to bias designed sequences toward improved expression and solubility.
</Info>

<CardGroup cols={2}>
  <Card title="Type" icon="layer-group">Inverse folding + solubility bias</Card>
  <Card title="Goal" icon="droplet">Higher expression/solubility</Card>
  <Card title="Input" icon="download">Backbone structure (experimental or predicted)</Card>
  <Card title="Output" icon="upload">Designed sequences</Card>
</CardGroup>

## Resources

* Reference impls: community forks built on ProteinMPNN
* Related: NetSolP (solubility prediction) — [paper](https://academic.oup.com/bioinformatics/article/38/4/941/6444984)

<Note>
  If no public canonical repo is available, implement as a ProteinMPNN post-filter or multi-objective scoring with a solubility model.
</Note>