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/APLF/Compounds

Compounds That Target APLF

APLF · 23 compounds in BiohacksAI corpus

APLF (APLF) is a biological target with 23 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 APLF modulation for therapeutic and biohacking applications.

View APLF target page →
Most Studied Compounds for APLF
1
Allium Sativum
500+
studies
2
Syzygium Aromaticum
500+
studies
3
Panax Ginseng
300+
studies
4
Ginkgo Biloba
299+
studies
All 23 Compounds — Ranked by Evidence
1
Allium Sativum
500+
studies
0.50
confidence
2
Aloe Vera
0.50
confidence
3
Arctium Lappa
0.50
confidence
4
Atractylodes Macrocephala
0.50
confidence
5
Belamcanda Chinensis
0.50
confidence
6
Bombyx Mori
0.50
confidence
7
Carthamus Tinctorius
0.50
confidence
8
Commiphora Myrrha
0.50
confidence
9
Crataegus Pinnatifida
0.50
confidence
10
Ephedra Sinica
0.50
confidence
11
Euryale Ferox
0.50
confidence
12
Forsythia Suspensa
0.50
confidence
13
Gentiana Macrophylla
0.50
confidence
14
Ginkgo Biloba
299+
studies
0.50
confidence
15
Panax Ginseng
300+
studies
0.50
confidence
16
Pinellia Ternata
0.50
confidence
17
Piper Nigrum
0.50
confidence
18
Sargassum Fusiforme
0.50
confidence
19
Scrophularia Ningpoensis
0.50
confidence
20
Syzygium Aromaticum
500+
studies
0.50
confidence
21
Trichosanthes Kirilowii
0.50
confidence
22
Tussilago Farfara
0.50
confidence
23
Vigna Radiata
0.50
confidence

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

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

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