Download the entire Proteinbase database: 1,000+ experimentally validated protein-protein interactions. All data comes from lab experiments performed by Adaptyv Bio with standardized protocols, plus computational metrics and structure predictions.
What's included:
•Positive data: Protein pairs that bind
•Negative data: Protein pairs that don't bind
•Standardized protocols: Same experimental methods for all data
•Experimental measurements: Binding affinities, expression levels, and more
•Computational metrics: Structure predictions, stability scores, and more
Downloads are UTF-8 CSV files with a header row. Scalar values are quoted strings, while the evaluations column serializes an array of JSON objects describing each measured metric for a protein.
Columns
id — stable identifier for the protein, safe to treat as a primary key.
name — optional reference label, empty if none was supplied.
sequence — amino-acid sequence
author — creator handle when available.
designMethod — slug describing the design pipeline used to generate the protein.
`evaluations` array
JSON array where each object captures a measurement linked to the protein. Each object exposes:
type — evaluation category. Values:computational, experimental, curated.
metric — slug naming the metric (e.g. kd, tm-score, expressed).
target — binding target slug when applicable; empty otherwise.
value_type — parse hint. Values:numeric (number), boolean (true/false), label (string from a controlled vocabulary), json (structured payload).
unit — unit symbol such as nM or °C; blank when the metric is unitless.
value — the measurement itself, formatted according to value_type.
Proteinbase is licensed under the Open Data Commons Attribution License (ODC-By).
You are free to:
Share: Copy, distribute and use the database
Create: Produce works from the database
Adapt: Modify, transform and build upon the database
As long as you:
Attribute: Include this text in any work building on Proteinbase:
"This work used Proteinbase by Adaptyv Bio under ODC-BY license"