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# 8 of 9 Mosaic designs bound the Nipah virus target in a 2025 challenge; across all 1,026 designs, 9.6% did
- URL: https://aiadoption.org/data/nipah-binder-design-success-rates/
- Published: 2026-10-19T16:36:42.000Z
- Updated: 2026-10-21T06:05:14.000Z
- Description: Of 1,026 protein designs tested in Adaptyv Bio's Nipah virus binder challenge, 99 (9.6%) bound the target. Mosaic did best: 8 of its 9 designs bound.
- Author: Manu
- Tags: Data, AI in Healthcare, #chart, #ai-index-2026, #hub-healthcare

88.9%

share of Mosaic's 9 tested designs that bound the Nipah virus target, against 9.6% of all 1,026 designs

Share of designs that bound

Mosaic (9)88.9%

RFdiffusion (17)17.6%

All methods (1,026)9.6%

BoltzGen (107)1.9%

## What the chart shows

Adaptyv Bio’s 2025 challenge asked teams to design proteins that bind a Nipah virus protein, then tested the designs in the laboratory. Of 1,026 designs tested, 99 (9.6%) bound the target, and the AI Index reports that none neutralised it.

Mosaic, a specialised method that combines several tools with expert tuning, had the highest rate: 8 of its 9 designs (88.9%) bound. RFdiffusion reached 17.6%, BindCraft 7.4% and BoltzGen 1.9% of 107 designs; none of Germinal’s 14 bound. Most designs could be produced: 85.9% expressed.

## Key numbers

| Measure                            | Value  |
| ---------------------------------- | ------ |
| All methods, bound (1,026 designs) | 9.65%  |
| Mosaic, bound (9)                  | 88.89% |
| RFdiffusion, bound (17)            | 17.65% |
| BindCraft, bound (27)              | 7.41%  |
| BoltzGen, bound (107)              | 1.87%  |
| All methods, expressed             | 85.87% |

## How to read it

- Bars show binding rates, the second block of the data file; the first block gives expression rates, the share of designs the laboratory could produce.
- Design counts per method are from the AI Index’s chart labels; the five methods shown account for 174 of the 1,026 designs.
- Samples are small: one design more or fewer changes Mosaic’s rate by 11 percentage points.

**Source:** [Adaptyv Nipah Binder challenge](https://aiadoption.org/sources/#adaptyv-nipah), 2026, via the AI Index Report 2026 (Stanford HAI), figure 6.1.10: *Protein design success rates in Adaptyv Nipah Binder challenge*. Chart and text by AI Adoption.  
Numbers checked against the published data on 20 October 2026.  
[Download the data (CSV)](https://charts.aiadoption.org/ai-index/csv/nipah-binder-design-success-rates.csv?ref=aiadoption.org) · [Cite this chart](#source)