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Compounds That Target CALCRL

CALCRL · 28 compounds in BiohacksAI corpus

CALCRL (CALCRL) is a biological target with 28 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 CALCRL modulation for therapeutic and biohacking applications.

Most Studied Compounds for CALCRL
500+
studies
500+
studies
500+
studies
300+
studies
All 28 Compounds — Ranked by Evidence
1
Glycine Max
1.00
confidence
2
Lonicera Japonica
1.00
confidence
3
Panax Notoginseng
1.00
confidence
4
Perilla Frutescens
1.00
confidence
500+
studies
0.50
confidence
6
Aloe Vera
0.50
confidence
7
Apis Mellifera
0.50
confidence
8
Arctium Lappa
0.50
confidence
9
Bombyx Mori
0.50
confidence
10
Bupleurum Chinense
0.50
confidence
11
Carthamus Tinctorius
0.50
confidence
12
Corydalis Yanhusuo
0.50
confidence
13
Euryale Ferox
0.50
confidence
14
Forsythia Suspensa
0.50
confidence
15
Hirudo Nipponia
0.50
confidence
500+
studies
0.50
confidence
17
Leonurus Japonicus
0.50
confidence
18
Morus Alba
0.50
confidence
300+
studies
0.50
confidence
20
Pinellia Ternata
0.50
confidence
21
Polygala Tenuifolia
0.50
confidence
22
Polygonum Cuspidatum
0.50
confidence
23
Poria Cocos
0.50
confidence
500+
studies
0.50
confidence
25
Scutellaria Baicalensis
0.50
confidence
26
Stemona Sessilifolia
0.50
confidence
27
Vigna Radiata
0.50
confidence
28
Ziziphus Jujuba
0.50
confidence

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

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

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