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/EGFLAM/Compounds

Compounds That Target EGFLAM

EGFLAM · 58 compounds in BiohacksAI corpus

EGFLAM (EGFLAM) is a biological target with 58 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 EGFLAM modulation for therapeutic and biohacking applications.

View EGFLAM target page →
Most Studied Compounds for EGFLAM
1
Curcuma Longa
500+
studies
2
Allium Sativum
500+
studies
3
Portulaca Oleracea
500+
studies
4
Raphanus Sativus
500+
studies
5
Zingiber Officinale
498+
studies
6
Panax Ginseng
300+
studies
7
Ginkgo Biloba
299+
studies
All 50 Compounds — Ranked by Evidence
1
Agastache Rugosa
1.00
confidence
2
Artemisia Argyi
1.00
confidence
3
Artemisia Capillaris
1.00
confidence
4
Bupleurum Chinense
1.00
confidence
5
Citrus Reticulata
1.00
confidence
6
Curcuma Longa
500+
studies
1.00
confidence
7
Gastrodia Elata
1.00
confidence
8
Lonicera Japonica
1.00
confidence
9
Panax Ginseng
300+
studies
1.00
confidence
10
Pinellia Ternata
1.00
confidence
11
Prunus Armeniaca
1.00
confidence
12
Schisandra Chinensis
1.00
confidence
13
Scutellaria Baicalensis
1.00
confidence
14
Tussilago Farfara
1.00
confidence
15
Zingiber Officinale
498+
studies
1.00
confidence
16
Ziziphus Jujuba
1.00
confidence
17
Aconitum Carmichaelii
0.50
confidence
18
Allium Sativum
500+
studies
0.50
confidence
19
Aloe Vera
0.50
confidence
20
Arctium Lappa
0.50
confidence
21
Artemisia Annua
0.50
confidence
22
Asparagus Cochinchinensis
0.50
confidence
23
Atractylodes Macrocephala
0.50
confidence
24
Aucklandia Lappa
0.50
confidence
25
Chaenomeles Speciosa
0.50
confidence
26
Cimicifuga Heracleifolia
0.50
confidence
27
Commiphora Myrrha
0.50
confidence
28
Crataegus Pinnatifida
0.50
confidence
29
Ephedra Sinica
0.50
confidence
30
Epimedium Brevicornum
0.50
confidence
31
Eriobotrya Japonica
0.50
confidence
32
Fritillaria Cirrhosa
0.50
confidence
33
Ginkgo Biloba
299+
studies
0.50
confidence
34
Glycyrrhiza Uralensis
0.50
confidence
35
Inula Japonica
0.50
confidence
36
Ligusticum Chuanxiong
0.50
confidence
37
Mentha Haplocalyx
0.50
confidence
38
Morinda Officinalis
0.50
confidence
39
Morus Alba
0.50
confidence
40
Mosla Chinensis
0.50
confidence
41
Nelumbo Nucifera
0.50
confidence
42
Paeonia Suffruticosa
0.50
confidence
43
Perilla Frutescens
0.50
confidence
44
Polygonum Cuspidatum
0.50
confidence
45
Poria Cocos
0.50
confidence
46
Portulaca Oleracea
500+
studies
0.50
confidence
47
Prunus Mume
0.50
confidence
48
Quisqualis Indica
0.50
confidence
49
Raphanus Sativus
500+
studies
0.50
confidence
50
Rehmannia Glutinosa
0.50
confidence

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

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

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