BETABiohacksAI is a research tool for informational purposes only. All outputs are computational hypothesis candidates — not confirmed mechanisms, not medical advice, and not a substitute for professional medical judgment. Independent experimental validation is always required.
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Compounds That Target ERBB3

erb-b2 receptor tyrosine kinase 3 · 17 compounds in BiohacksAI corpus

ERBB3 (erb-b2 receptor tyrosine kinase 3) is a biological target with 17 documented compound interactions in the BiohacksAI corpus. The compounds listed below have been identified through computational analysis of BindingDB binding assay data and PubMed literature. Each interaction is ranked by confidence score reflecting the breadth and strength of experimental evidence. This resource supports research into ERBB3 modulation for therapeutic and biohacking applications.

Most Studied Compounds for ERBB3
297+
studies
All 17 Compounds — Ranked by Evidence
1
Gefitinib
5.67
confidence
2
Erlotinib
5.55
confidence
3
Osimertinib
5.03
confidence
4
Lapatinib
4.84
confidence
5
Alvocidib
4.52
confidence
6
Foretinib
4.34
confidence
7
Tozasertib
4.33
confidence
8
Vandetanib
4.30
confidence
9
Bosutinib
4.08
confidence
10
Neratinib
3.66
confidence
11
Canertinib
3.53
confidence
12
Rociletinib
3.18
confidence
13
Lestaurtinib
3.04
confidence
14
Cediranib
2.83
confidence
15
Canertinib Dihydrochloride
2.08
confidence
16
Sapitinib
1.95
confidence
297+
studies
0.69
confidence

The compounds above were identified through computational analysis of BindingDB binding assay data and PubMed literature for ERBB3 (erb-b2 receptor tyrosine kinase 3). Confidence scores reflect the strength and breadth of experimental evidence.

Explore related resources: ERBB3 target overview · All biological targets · Biological pathways

Data from BindingDB and PubMed. For research purposes only. Not medical advice.