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

Compounds That Target CALCR

calcitonin receptor · 59 compounds in BiohacksAI corpus

CALCR (calcitonin receptor) is a biological target with 59 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 CALCR modulation for therapeutic and biohacking applications.

Most Studied Compounds for CALCR
500+
studies
500+
studies
500+
studies
300+
studies
299+
studies
298+
studies
All 50 Compounds — Ranked by Evidence
298+
studies
1.95
confidence
2
Apis Mellifera
1.00
confidence
3
Bufo Bufo
1.00
confidence
4
Ephedra Sinica
1.00
confidence
5
Glycine Max
1.00
confidence
6
Panax Notoginseng
1.00
confidence
500+
studies
1.00
confidence
8
Sargassum Fusiforme
1.00
confidence
9
Aconitum Carmichaelii
0.50
confidence
500+
studies
0.50
confidence
11
Allium Tuberosum
0.50
confidence
12
Aloe Vera
0.50
confidence
13
Arctium Lappa
0.50
confidence
14
Bupleurum Chinense
0.50
confidence
15
Carthamus Tinctorius
0.50
confidence
16
Chaenomeles Speciosa
0.50
confidence
17
Cimicifuga Heracleifolia
0.50
confidence
18
Coix Lacryma
0.50
confidence
19
Commiphora Myrrha
0.50
confidence
20
Corydalis Yanhusuo
0.50
confidence
21
Crataegus Pinnatifida
0.50
confidence
22
Eriobotrya Japonica
0.50
confidence
23
Eucommia Ulmoides
0.50
confidence
24
Forsythia Suspensa
0.50
confidence
25
Fritillaria Cirrhosa
0.50
confidence
299+
studies
0.50
confidence
27
Hirudo Nipponia
0.50
confidence
500+
studies
0.50
confidence
29
Leonurus Japonicus
0.50
confidence
30
Ligusticum Chuanxiong
0.50
confidence
31
Lindera Aggregata
0.50
confidence
32
Lobelia Chinensis
0.50
confidence
33
Lonicera Japonica
0.50
confidence
34
Mentha Haplocalyx
0.50
confidence
35
Morus Alba
0.50
confidence
36
Mosla Chinensis
0.50
confidence
0.50
confidence
38
Paeonia Suffruticosa
0.50
confidence
300+
studies
0.50
confidence
40
Pinellia Ternata
0.50
confidence
0.50
confidence
42
Platycodon Grandiflorus
0.50
confidence
43
Polygala Tenuifolia
0.50
confidence
44
Polygonum Cuspidatum
0.50
confidence
45
Poria Cocos
0.50
confidence
46
Prunus Mume
0.50
confidence
47
Rehmannia Glutinosa
0.50
confidence
48
Salvia Miltiorrhiza
0.50
confidence
49
Scolopendra Subspinipes
0.50
confidence
50
Scrophularia Ningpoensis
0.50
confidence

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

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

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