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
○
BiohacksAI/Targets/FEM1A/Compounds

Compounds That Target FEM1A

FEM1A · 62 compounds in BiohacksAI corpus

FEM1A (FEM1A) is a biological target with 62 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 FEM1A modulation for therapeutic and biohacking applications.

View FEM1A target page →
Most Studied Compounds for FEM1A
1
Allium Sativum
500+
studies
2
Curcuma Longa
500+
studies
3
Centella Asiatica
499+
studies
4
Zingiber Officinale
498+
studies
5
Panax Ginseng
300+
studies
6
Ginkgo Biloba
299+
studies
7
Rubia Cordifolia
200+
studies
8
Areca Catechu
199+
studies
All 50 Compounds — Ranked by Evidence
1
Allium Sativum
500+
studies
1.00
confidence
2
Arctium Lappa
1.00
confidence
3
Artemisia Argyi
1.00
confidence
4
Artemisia Capillaris
1.00
confidence
5
Atractylodes Macrocephala
1.00
confidence
6
Centella Asiatica
499+
studies
1.00
confidence
7
Chaenomeles Speciosa
1.00
confidence
8
Citrus Reticulata
1.00
confidence
9
Crataegus Pinnatifida
1.00
confidence
10
Curcuma Longa
500+
studies
1.00
confidence
11
Eupatorium Fortunei
1.00
confidence
12
Forsythia Suspensa
1.00
confidence
13
Ginkgo Biloba
299+
studies
1.00
confidence
14
Lonicera Japonica
1.00
confidence
15
Magnolia Biondii
1.00
confidence
16
Morus Alba
1.00
confidence
17
Nelumbo Nucifera
1.00
confidence
18
Panax Ginseng
300+
studies
1.00
confidence
19
Perilla Frutescens
1.00
confidence
20
Pinellia Ternata
1.00
confidence
21
Prunus Armeniaca
1.00
confidence
22
Prunus Mume
1.00
confidence
23
Rubia Cordifolia
200+
studies
1.00
confidence
24
Schisandra Chinensis
1.00
confidence
25
Scutellaria Baicalensis
1.00
confidence
26
Smilax Glabra
1.00
confidence
27
Taxillus Chinensis
1.00
confidence
28
Vigna Umbellata
1.00
confidence
29
Zingiber Officinale
498+
studies
1.00
confidence
30
Achyranthes Bidentata
0.50
confidence
31
Aconitum Carmichaelii
0.50
confidence
32
Aloe Vera
0.50
confidence
33
Anemarrhena Asphodeloides
0.50
confidence
34
Apis Mellifera
0.50
confidence
35
Aquilaria Sinensis
0.50
confidence
36
Areca Catechu
199+
studies
0.50
confidence
37
Belamcanda Chinensis
0.50
confidence
38
Bupleurum Chinense
0.50
confidence
39
Cimicifuga Heracleifolia
0.50
confidence
40
Ephedra Sinica
0.50
confidence
41
Epimedium Brevicornum
0.50
confidence
42
Euryale Ferox
0.50
confidence
43
Gentiana Macrophylla
0.50
confidence
44
Glycine Max
0.50
confidence
45
Glycyrrhiza Uralensis
0.50
confidence
46
Litchi Chinensis
0.50
confidence
47
Lithospermum Erythrorhizon
0.50
confidence
48
Lobelia Chinensis
0.50
confidence
49
Mentha Haplocalyx
0.50
confidence
50
Paeonia Lactiflora
0.50
confidence

The compounds above were identified through computational analysis of BindingDB binding assay data and PubMed literature for FEM1A (FEM1A). Confidence scores reflect the strength and breadth of experimental evidence.

Explore related resources: FEM1A target overview · All biological targets · Biological pathways

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