Company: IMRX
Filing Date: 2025-03-20
Form Type: 10-K
Source: 0001790340-25-000042
Chunk: 49

Company: Immuneering Corp
Filing Date: 2025-03-20
Form: 10-K
Item: Item 1
Chunk 49
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 FDA-approved drug for the treatment of advanced breast cancer in combination with trastuzumab and capecitabine. Tukysa® is a tyrosine kinase inhibitor of human epidermal growth factor receptor 2 ("HER2" or "ERBB2"). We created a test compound library by placing Tukysa® in a diverse chemical library of 17.8 million drug-like molecules and evaluated whether or not Fluency could identify it as a promising drug candidate against ERBB2 (depicted in the first panel below). The binding models within Fluency were trained against millions of carefully quality controlled, publicly available binding affinity measurements for compounds against thousands of proteins. However, because Fluency did not see Tukysa® or other molecules highly similar to Tukysa® during training, it did not know whether or not it was a promising candidate before the test screen was run. In our test screens, we input the protein of interest into Fluency, then select a library to screen, and optionally enter the region of interest within the protein (depicted in the second panel below). In the test screen for Tukysa®, we screened the test library against all amino acids within ERBB2.

Fluency Test Screen Input Example

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Fluency rapidly screened approximately 17.8 million compounds in less than 7 hours and identified Tukysa® as the best binder to ERBB2 along with a number of other potential candidates (as depicted below). Fluency’s location prediction for this compound points towards the kinase domain of ERBB2 which contains the binding site. Referring back to our drug discovery flow chart depicted above, Tukysa® would have been amongst the hundreds of compounds to go on to medicinal chemistry and experimental validation if we were searching for general ERBB2 binders or if we were searching for potential binders specific to the kinase domain.

Fluency Test Screen Output Example

Fluency has been used to screen for potential drug candidates within our early-stage oncology programs. Our team includes AI specialists with expertise in Fluency who are embedded in our end-to-end preclinical drug development processes. We continue to seek new ways to apply our AI expertise to develop novel product candidates and potentially improve the lives of patients.

Signaling Dynamics (PK-Driven)

Transcriptomic data has proven critical to these analyses because it provides an understanding of the extent to which specific genes are expressed at any given time, capturing temporal changes in pathway activation. Signaling networks