Adaptyv Bio avatar

Adaptyv Bio

Official

@adaptyvbio · Switzerland

0Followers
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21Public Repos
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21Published Skills

Offers a computational platform for protein binder design, structural prediction, and sequence optimization using standardized biophysical modeling frameworks.

Skills Distribution
DomainAI Models & ...Protein-Structure-.. (40%)Sequence-Design-Op.. (35%)Biophysical-Experi.. (25%)

Agent Skills by Adaptyv Bio

Showing 21 vetted skills indexed across 1 GitHub repositories.

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151

binder-design

Guide researchers in selecting protein binder design tools via a decision-tree workflow.

Official
Basic
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binding-characterization

Guide SPR or BLI selection and troubleshoot binding-kinetics experiments.

Official
Basic
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chai

Predict protein structures from FASTA sequences using Chai-1.

Official
Advanced
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protein-design-workflow

Plan protein design workflows from target preparation to validation.

Official
Advanced
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foldseek

Search protein structures against PDB and AlphaFold databases with Foldseek.

Official
Advanced
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protein-qc

Automate protein design quality-control checks with standardized thresholds and composite scoring.

Official
Advanced
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esm

Compute protein embeddings and PLL scores using the ESM2 language model.

Official
Advanced
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rfdiffusion

Generate protein backbones with RFdiffusion using contigmap and hotspot specifications.

Official
Advanced
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setup

Guide users through installing Modal CLI, authenticating, and validating protein design environments.

Official
Advanced
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solublempnn

Design solubility-optimized protein sequences for given backbones using soluble model weights.

Official
Advanced
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bindcraft

Automate end-to-end binder design with BindCraft and AF2 validation.

Official
Advanced
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boltz

Predict protein complex structures with Boltz-1/Boltz-2 and output CIF models.

Official
Advanced
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ligandmpnn

Automate ligand-aware protein sequence design with LigandMPNN.

Official
Advanced
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cell-free-expression

Guide CFPS optimization with structured experiment planning and yield troubleshooting.

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Advanced
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alphafold

Automate protein design validation using AlphaFold2 structure prediction metrics like pLDDT, pTM, and ipTM.

Official
Advanced
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campaign-manager

Translate binder goals into runnable campaigns and health-check workflows.

Official
Advanced
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boltzgen

Automate all-atom protein design with diffusion models via YAML configuration.

Official
Advanced
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uniprot

Fetch protein sequences and annotations from the UniProt REST API.

Official
Basic
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proteinmpnn

Design protein sequences from structural backbones using ProteinMPNN inverse folding.

Official
Advanced
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pdb

Fetch protein structures from the RCSB PDB API and load them for analysis.

Official
Intermediate
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ipsae

Rank binder designs using ipSAE scores from AlphaFold2, AlphaFold3, and Boltz1 predictions.

Official
Intermediate

Frequently Asked Questions About Adaptyv Bio

FAQPage Schema
What 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.