MOLECULAR TARGET
AFF1
AF4/FMR2 family member 1
40 compounds · BiohacksAI corpus v20260307-01
40
compounds
Compounds
40
Gene Symbol
AFF1
NCBI Gene
—
Looking for compounds that interact with AFF1?
View all 40 compounds →About AFF1
AFF1 (AF4/FMR2 family member 1) is a biological target studied in biomedical research. The BiohacksAI corpus identifies 40 compounds with documented interactions with this target, based on BindingDB assay data and PubMed literature.
Compounds Targeting AFF1 (40)
1
Molibresib
3.81
confidence
2
Morus Alba
1.00
confidence
3
Achyranthes Bidentata
0.50
confidence
4
Aconitum Carmichaelii
0.50
confidence
5
Alisma Plantago
0.50
confidence
6
Allium Fistulosum
0.50
confidence
7
Aloe Vera
0.50
confidence
8
Apis Mellifera
0.50
confidence
9
Arctium Lappa
0.50
confidence
10
Atractylodes Macrocephala
0.50
confidence
11
Bombyx Mori
0.50
confidence
12
Citrus Reticulata
0.50
confidence
13
Coix Lacryma
0.50
confidence
14
Eriobotrya Japonica
0.50
confidence
15
Eucommia Ulmoides
0.50
confidence
16
Euryale Ferox
0.50
confidence
17
Fritillaria Cirrhosa
0.50
confidence
18
Gastrodia Elata
0.50
confidence
299
studies
0.50
confidence
20
Glycine Max
0.50
confidence
21
Glycyrrhiza Uralensis
0.50
confidence
500
studies
0.50
confidence
23
Ligusticum Chuanxiong
0.50
confidence
24
Litchi Chinensis
0.50
confidence
25
Lonicera Japonica
0.50
confidence
26
Mentha Haplocalyx
0.50
confidence
0
studies
0.50
confidence
28
Paeonia Lactiflora
0.50
confidence
29
Pinellia Ternata
0.50
confidence
30
Polygala Tenuifolia
0.50
confidence
31
Rehmannia Glutinosa
0.50
confidence
32
Salvia Miltiorrhiza
0.50
confidence
33
Scutellaria Baicalensis
0.50
confidence
34
Sophora Flavescens
0.50
confidence
35
Stemona Sessilifolia
0.50
confidence
36
Taraxacum Mongolicum
0.50
confidence
37
Verbena Officinalis
0.50
confidence
38
Vigna Radiata
0.50
confidence
500
studies
0.50
confidence
40
Ziziphus Jujuba
0.50
confidence
Top 40 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.