Diphenylacetylene

Diphenylacetylene

SCHEMBL960609

C(#Cc1ccccc1)c1ccccc1.C(#Cc1ccccc1)c1ccccc1

nearest known ligand 1.00 ✓ in ChEMBL — recovers established targets

Full drug profile on Sugi Atlas →

Predicted protein targets (top 20)

geneUniProtsupporting neighboursconfidence
APP P05067 1/20 1.00
MAPT P10636 2/20 0.67
GRM5 P41594 6/20 0.60
CYP1A2 P05177 3/20 0.57
CYP3A4 P08684 3/20 0.57
CYP2C9 P11712 3/20 0.57
CYP2C19 P33261 3/20 0.57
NPC1 O15118 3/20 0.57
KDM4E B2RXH2 2/20 0.57
MEN1 O00255 2/20 0.57
ALDH1A1 P00352 2/20 0.57
HPGD P15428 2/20 0.57
KMT2A Q03164 2/20 0.57
SMN1; SMN2 Q16637 2/20 0.57
HSD17B10 Q99714 1/20 0.57
THPO P40225 2/20 0.55
KCNH2 Q12809 1/20 0.55
TSHR P16473 1/20 0.53
BLM P54132 1/20 0.52
PMP22 Q01453 1/20 0.52

Click a target to see other patent compounds predicted against it — the reverse direction, in place.

Similar compounds — the chemically nearest patent molecules

Nearest neighbours by Morgan-fingerprint cosine across the patent-compound collection, with each neighbour's top predicted target and the predicted targets it shares with this molecule.

Compoundsimilaritytop predictedshared targets
Diphenylacetylene SCHEMBL29188592 1.00 APP (1.00) APPMAPTGRM5CYP1A2CYP3A4
Diphenylacetylene SCHEMBL68254 1.00 APP (1.00) APPMAPTGRM5CYP1A2CYP3A4
Diphenylacetylene SCHEMBL29415615 0.96 APP (0.92) APPMAPTGRM5CYP1A2CYP3A4
Diphenylacetylene SCHEMBL31243352 0.96 APP (0.92) APPMAPTGRM5CYP1A2CYP3A4
Diphenylacetylene SCHEMBL28768551 0.96 APP (0.92) APPMAPTGRM5CYP1A2CYP3A4
Diphenylacetylene SCHEMBL23754282 0.96 APP (0.92) APPMAPTGRM5CYP1A2CYP3A4
Diphenylacetylene SCHEMBL28966277 0.96 APP (0.92) APPMAPTGRM5CYP1A2CYP3A4
Diphenylacetylene SCHEMBL9273707 0.96 APP (0.92) APPMAPTGRM5CYP1A2CYP3A4
Diphenylacetylene SCHEMBL5576302 0.96 APP (0.92) APPMAPTGRM5CYP1A2CYP3A4
Diphenylacetylene SCHEMBL31286315 0.96 APP (0.92) APPMAPTGRM5CYP1A2CYP3A4

Similarity is cosine over the 2,048-bit Morgan fingerprint (≈ Tanimoto). Identical fingerprints score 1.00.

Patent provenance — the patents this molecule appears in, and who filed them

Claimed or disclosed in 4 patents. claimed = in the patent's claims; disclosed = body only.

PatentTitleAssigneePublishedPriorityFilingCountryStatus
CN-113874340-A Selective hydrogenation of alkynes to alkenes in the presence of phosphorus compounds and organic sulfur compounds 帝斯曼知识产权资产管理有限公司 2021-12-31 CN disclosed
US-9549988-B2 Pharmaceutical compounds targeted by MIF affinity-tethered moieties RJS Biologics (US) 2017-01-24 US disclosed
US-20150352217-A1 Pharmaceutical Compounds Targeted by MIF Affinity-Tethered Moieties RJS BIOLOGICS LLC 2015-12-10 US disclosed
WO-2011017129-A1 SUBSTITUTED 1,2-AZABORINE HETEROCYCLES STATE OF OREGON ON BEHALF OF THE UNIVERSITY OF OREGON (US) 2011-02-10 WO disclosed

Patent text — is the patent's own abstract consistent with the prediction?

For each of this compound's patents that has machine-readable text (1 of them — usually the abstract, not the full specification), we ask MedCPT which protein the text reads most about, and where the chemistry-predicted target lands among 4885 human targets. A high rank means the patent's own wording is consistent with the prediction — a weak, independent signal, not proof of activity.

PatentTitleText reads most aboutPredicted target · text-rank
US-20150352217-A1 Pharmaceutical Compounds Targeted by MIF Affinity-Tethered Moieties MIF, HMGB2, HMGB1 APP 2802/4885MAPT 2168/4885GRM5 2991/4885

“Text reads most about” is the patent abstract's nearest protein in MedCPT space (background-debiased). Only ~1.4% of patents have machine-readable text, so most compounds won't have this panel.