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/IQGAP2/Compounds

Compounds That Target IQGAP2

IQGAP2 · 88 compounds in BiohacksAI corpus

IQGAP2 (IQGAP2) is a biological target with 88 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 IQGAP2 modulation for therapeutic and biohacking applications.

View IQGAP2 target page →
Most Studied Compounds for IQGAP2
1
Allium Sativum
500+
studies
2
Portulaca Oleracea
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
9
Smilax China
142+
studies
All 50 Compounds — Ranked by Evidence
1
Agastache Rugosa
1.00
confidence
2
Allium Sativum
500+
studies
1.00
confidence
3
Aloe Vera
1.00
confidence
4
Arctium Lappa
1.00
confidence
5
Artemisia Annua
1.00
confidence
6
Atractylodes Macrocephala
1.00
confidence
7
Centella Asiatica
499+
studies
1.00
confidence
8
Chaenomeles Speciosa
1.00
confidence
9
Cynomorium Songaricum
1.00
confidence
10
Dimocarpus Longan
1.00
confidence
11
Ephedra Sinica
1.00
confidence
12
Eucommia Ulmoides
1.00
confidence
13
Forsythia Suspensa
1.00
confidence
14
Fritillaria Cirrhosa
1.00
confidence
15
Ginkgo Biloba
299+
studies
1.00
confidence
16
Glycyrrhiza Uralensis
1.00
confidence
17
Lilium Lancifolium
1.00
confidence
18
Litchi Chinensis
1.00
confidence
19
Lobelia Chinensis
1.00
confidence
20
Lonicera Japonica
1.00
confidence
21
Morus Alba
1.00
confidence
22
Nelumbo Nucifera
1.00
confidence
23
Panax Ginseng
300+
studies
1.00
confidence
24
Panax Notoginseng
1.00
confidence
25
Perilla Frutescens
1.00
confidence
26
Polygonum Cuspidatum
1.00
confidence
27
Portulaca Oleracea
500+
studies
1.00
confidence
28
Prunus Armeniaca
1.00
confidence
29
Rubia Cordifolia
200+
studies
1.00
confidence
30
Salvia Miltiorrhiza
1.00
confidence
31
Sanguisorba Officinalis
1.00
confidence
32
Sargassum Fusiforme
1.00
confidence
33
Scutellaria Baicalensis
1.00
confidence
34
Smilax China
142+
studies
1.00
confidence
35
Smilax Glabra
1.00
confidence
36
Vigna Radiata
1.00
confidence
37
Vigna Umbellata
1.00
confidence
38
Zingiber Officinale
498+
studies
1.00
confidence
39
Ziziphus Jujuba
1.00
confidence
40
Achyranthes Bidentata
0.50
confidence
41
Albizia Julibrissin
0.50
confidence
42
Apis Mellifera
0.50
confidence
43
Aquilaria Sinensis
0.50
confidence
44
Areca Catechu
199+
studies
0.50
confidence
45
Artemisia Argyi
0.50
confidence
46
Artemisia Capillaris
0.50
confidence
47
Asparagus Cochinchinensis
0.50
confidence
48
Aster Tataricus
0.50
confidence
49
Belamcanda Chinensis
0.50
confidence
50
Bombyx Mori
0.50
confidence

The compounds above were identified through computational analysis of BindingDB binding assay data and PubMed literature for IQGAP2 (IQGAP2). Confidence scores reflect the strength and breadth of experimental evidence.

Explore related resources: IQGAP2 target overview · All biological targets · Biological pathways

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