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
MOLECULAR TARGET

FAM220A

FAM220A

29 compounds · BiohacksAI corpus v20260307-01

29
compounds
Compounds
29
Gene Symbol
FAM220A
NCBI Gene

Looking for compounds that interact with FAM220A?

View all 29 compounds →
About FAM220A

FAM220A (FAM220A) is a biological target studied in biomedical research. The BiohacksAI corpus identifies 29 compounds with documented interactions with this target, based on BindingDB assay data and PubMed literature.

Compounds Targeting FAM220A (29)
1
Glycyrrhiza Uralensis
1.00
confidence
2
Artemisia Capillaris
1.00
confidence
142
studies
0.50
confidence
4
Sophora Tonkinensis
0.50
confidence
500
studies
0.50
confidence
6
Taraxacum Mongolicum
0.50
confidence
7
Achyranthes Bidentata
0.50
confidence
8
Allium Fistulosum
0.50
confidence
500
studies
0.50
confidence
10
Aloe Vera
0.50
confidence
11
Artemisia Annua
0.50
confidence
12
Artemisia Argyi
0.50
confidence
13
Bupleurum Chinense
0.50
confidence
14
Cimicifuga Heracleifolia
0.50
confidence
15
Citrus Reticulata
0.50
confidence
16
Cnidium Monnieri
0.50
confidence
17
Crataegus Pinnatifida
0.50
confidence
18
Dendrobium Nobile
0.50
confidence
19
Ephedra Sinica
0.50
confidence
299
studies
0.50
confidence
21
Glycine Max
0.50
confidence
22
Lonicera Japonica
0.50
confidence
23
Mentha Haplocalyx
0.50
confidence
24
Morus Alba
0.50
confidence
0
studies
0.50
confidence
300
studies
0.50
confidence
27
Polygonum Cuspidatum
0.50
confidence
28
Peucedanum Praeruptorum
0.50
confidence
29
Saposhnikovia Divaricata
0.50
confidence
Top 29 compounds by confidence score. Derived from BindingDB assay data.
Data Source
Corpusv20260307-01
SourceBindingDB · ChEMBL · PubMed

All data is computationally derived from published research. Not medical advice. Independent validation required.