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.
BiohacksAI is an evolving scientific literature platform. New compounds and evidence are indexed continuously.
B

Compounds That Target ERBB3

erb-b2 receptor tyrosine kinase 3 · 129 compounds in BiohacksAI corpus

ERBB3 (erb-b2 receptor tyrosine kinase 3) is a biological target with 129 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
500+
studies
500+
studies
499+
studies
300+
studies
299+
studies
297+
studies
All 51 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
17
Eriobotrya Japonica
1.00
confidence
18
Eucommia Ulmoides
1.00
confidence
19
Forsythia Suspensa
1.00
confidence
20
Fritillaria Cirrhosa
1.00
confidence
21
Gastrodia Elata
1.00
confidence
299+
studies
1.00
confidence
23
Glycine Max
1.00
confidence
24
Glycyrrhiza Uralensis
1.00
confidence
25
Lilium Lancifolium
1.00
confidence
26
Litchi Chinensis
1.00
confidence
27
Lithospermum Erythrorhizon
1.00
confidence
28
Lobelia Chinensis
1.00
confidence
29
Lonicera Japonica
1.00
confidence
30
Morus Alba
1.00
confidence
1.00
confidence
32
Paeonia Lactiflora
1.00
confidence
300+
studies
1.00
confidence
34
Panax Notoginseng
1.00
confidence
35
Perilla Frutescens
1.00
confidence
36
Agastache Rugosa
1.00
confidence
500+
studies
1.00
confidence
38
Allium Tuberosum
1.00
confidence
39
Aloe Vera
1.00
confidence
40
Arctium Lappa
1.00
confidence
41
Artemisia Argyi
1.00
confidence
42
Artemisia Capillaris
1.00
confidence
43
Aster Tataricus
1.00
confidence
44
Atractylodes Macrocephala
1.00
confidence
499+
studies
1.00
confidence
46
Chaenomeles Speciosa
1.00
confidence
47
Citrus Reticulata
1.00
confidence
500+
studies
1.00
confidence
49
Cynomorium Songaricum
1.00
confidence
50
Ephedra Sinica
1.00
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.