Adaptyv Bio
Official@adaptyvbio · Switzerland
Offers a computational platform for protein binder design, structural prediction, and sequence optimization using standardized biophysical modeling frameworks.
Agent Skills by Adaptyv Bio
Showing 21 vetted skills indexed across 1 GitHub repositories.
binder-design
Guide researchers in selecting protein binder design tools via a decision-tree workflow.
binding-characterization
Guide SPR or BLI selection and troubleshoot binding-kinetics experiments.
chai
Predict protein structures from FASTA sequences using Chai-1.
protein-design-workflow
Plan protein design workflows from target preparation to validation.
foldseek
Search protein structures against PDB and AlphaFold databases with Foldseek.
protein-qc
Automate protein design quality-control checks with standardized thresholds and composite scoring.
esm
Compute protein embeddings and PLL scores using the ESM2 language model.
rfdiffusion
Generate protein backbones with RFdiffusion using contigmap and hotspot specifications.
setup
Guide users through installing Modal CLI, authenticating, and validating protein design environments.
solublempnn
Design solubility-optimized protein sequences for given backbones using soluble model weights.
bindcraft
Automate end-to-end binder design with BindCraft and AF2 validation.
boltz
Predict protein complex structures with Boltz-1/Boltz-2 and output CIF models.
ligandmpnn
Automate ligand-aware protein sequence design with LigandMPNN.
cell-free-expression
Guide CFPS optimization with structured experiment planning and yield troubleshooting.
alphafold
Automate protein design validation using AlphaFold2 structure prediction metrics like pLDDT, pTM, and ipTM.
campaign-manager
Translate binder goals into runnable campaigns and health-check workflows.
boltzgen
Automate all-atom protein design with diffusion models via YAML configuration.
uniprot
Fetch protein sequences and annotations from the UniProt REST API.
proteinmpnn
Design protein sequences from structural backbones using ProteinMPNN inverse folding.
pdb
Fetch protein structures from the RCSB PDB API and load them for analysis.
ipsae
Rank binder designs using ipSAE scores from AlphaFold2, AlphaFold3, and Boltz1 predictions.
Frequently Asked Questions About Adaptyv Bio
FAQPage SchemaWhat specific protein engineering tasks are supported by these capabilities?▼
These capabilities support protein binder design, structural prediction from FASTA sequences, and sequence optimization. Users can perform inverse folding, generate protein backbones via diffusion models, predict complex structures, and validate designs using standardized quality-control metrics like pLDDT and ipTM to ensure structural integrity before experimental synthesis.
Which technical personas benefit from these protein design resources?▼
These resources are designed for computational biologists, protein engineers, and structural researchers. The platform provides structured guidance for selecting design methodologies, managing experimental campaigns, and executing complex structural analysis tasks, enabling researchers to transition from target preparation to validated protein designs within a unified computational environment.
What are the prerequisites for running these protein design environments?▼
Users must configure their environment by installing the Modal runtime, authenticating credentials, and validating the local execution context. The platform relies on specific structural databases like PDB and UniProt, requiring network access to these repositories to fetch sequences and structural data for downstream modeling and analysis.