gRNAde is a Generative AI framework for inverse design of 3D RNA structure and function
Activity-Oriented Enzyme Sequence Design by Steered Inverse Protein Folding
A thin wrapper around ProteinMPNN for convenient sampling without having to write out or consume files
RNAblueprint library for uniform sampling of RNA sequences given structural and sequence constraints
Integer Linear Programming for Protein Library Design
An unofficial re-implementation of PiFold, a fast inverse-folding algorithm for protein sequence design, in PyTorch.
Leakage- and budget-aware evaluation of PLMs, inverse folding, and supervised models for antibody affinity maturation
Enhancing the inverse folding approach PiFold
ProteinMPNN MCP server for protein sequence design (inverse folding)
Unified Python library and CLI for protein structure prediction and inverse folding.
LigandMPNN but with dynamic constraints. This allows the biases applied during inference to adjust to a desired goal during the generation process. Current implementations are for pI targeting and surface patch generation
cFold: a modular multi-tool evolutionary algorithm framework for RNA inverse folding (IEEE WCCI 2026)
Retraining of ProteinMPNN model specifically with acid-stable structures and sequences
LigandMPNN MCP server for ligand-aware scaffold-based sequence generation (inverse folding)
Python gRPC sidecar wrapping ProteinMPNN (inverse folding / sequence design) for FoldForge.
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