Gw305074X

Gw305074X

SCHEMBL12199472

O=C1Nc2ccc(I)cc2/C1=C\c1cc(Br)c(O)c(Br)c1

nearest known ligand 1.00 ✓ in ChEMBL — recovers established targets

Full drug profile on Sugi Atlas →

Predicted protein targets (top 20)

geneUniProtsupporting neighboursconfidence
RAF1 P04049 12/20 1.00
MAP1LC3B Q9GZQ8 3/20 1.00
MAPT P10636 3/20 1.00
EGFR P00533 1/20 1.00
NTRK1 P04629 1/20 1.00
ARAF P10398 1/20 1.00
PIM1 P11309 1/20 1.00
BRAF P15056 1/20 1.00
CSNK2A1 P68400 1/20 1.00
PIM3 Q86V86 1/20 1.00
SIRT2 Q8IXJ6 1/20 1.00
SIRT1 Q96EB6 1/20 1.00
MYOC Q99972 1/20 1.00
DYRK4 Q9NR20 1/20 1.00
SIRT3 Q9NTG7 1/20 1.00
SIRT5 Q9NXA8 1/20 1.00
MAP3K20 Q9NYL2 1/20 1.00
PIM2 Q9P1W9 1/20 1.00
RIPK3 Q9Y572 1/20 1.00
MEN1 O00255 1/20 1.00

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
Gw305074X SCHEMBL29389948 1.00 RAF1 (1.00) RAF1MAP1LC3BMAPTEGFRNTRK1
Gw305074X SCHEMBL149921 1.00 RAF1 (1.00) RAF1MAP1LC3BMAPTEGFRNTRK1
Gw305074X SCHEMBL149922 1.00 RAF1 (1.00) RAF1MAP1LC3BMAPTEGFRNTRK1
Gw305074X SCHEMBL29392050 1.00 RAF1 (1.00) RAF1MAP1LC3BMAPTEGFRNTRK1
SCHEMBL5367163 0.89 RAF1 (0.79) RAF1MAP1LC3BMAPTEGFRNTRK1
SCHEMBL1394784 0.89 RAF1 (0.79) RAF1MAP1LC3BMAPTEGFRNTRK1
SCHEMBL4726411 0.89 RAF1 (0.79) RAF1MAP1LC3BMAPTEGFRNTRK1
SCHEMBL8206335 0.87 RAF1 (0.77) RAF1MAP1LC3BMAPTEGFRNTRK1
SCHEMBL26245253 0.87 RAF1 (0.77) RAF1MAP1LC3BMAPTEGFRNTRK1
SCHEMBL10026597 0.87 RAF1 (0.77) RAF1MAP1LC3BMAPTEGFRNTRK1

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 7 patents. claimed = in the patent's claims; disclosed = body only.

PatentTitleAssigneePublishedPriorityFilingCountryStatus
US-20150258056-A1 USE OF miR-221 AND 222 LOWERING AGENTS TO PREVENT CARDIOVASCULAR DISEASE IN DIABETIC SUBJECTS WOODS THOMAS COOPER (US) 2015-09-17 US claimed
WO-2022140246-A1 METHODS AND COMPOUNDS FOR TARGETED AUTOPHAGY HANGZHOU JIJING PHARMACEUTICAL TECHNOLOGY LIMITED (CN) 2022-06-30 WO disclosed
US-9522130-B2 Use of miR-221 and 222 lowering agents to prevent cardiovascular disease in diabetic subjects WOODS THOMAS COOPER (US) 2016-12-20 US disclosed
US-20150258056-A1 USE OF miR-221 AND 222 LOWERING AGENTS TO PREVENT CARDIOVASCULAR DISEASE IN DIABETIC SUBJECTS WOODS THOMAS COOPER (US) 2015-09-17 US disclosed
US-20110243957-A1 MATERIALS AND METHODS FOR PREVENTING OR TREATING NEURODEGENERATIVE CONDITIONS ASSOCIATED WITH ABETA PEPTIDE ACCUMULATION UNIVERSITY OF SOUTH FLORIDA (US) 2011-10-06 US disclosed
US-20110243957-A1 MATERIALS AND METHODS FOR PREVENTING OR TREATING NEURODEGENERATIVE CONDITIONS ASSOCIATED WITH ABETA PEPTIDE ACCUMULATION UNIVERSITY OF SOUTH FLORIDA (US) 2011-10-06 US disclosed
WO-2010036813-A1 MATERIALS AND METHODS FOR PREVENTING OR TREATING NEURODEGENERATIVE CONDITIONS ASSOCIATED WITH ABETA PEPTIDE ACCUMULATION UNIVERSITY OF SOUTH FLORIDA (US) 2010-04-01 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-20110243957-A1 MATERIALS AND METHODS FOR PREVENTING OR TREATING NEURODEGENERATIVE CONDITIONS ASSOCIATED WITH ABETA PEPTIDE ACCUMULATION APP, IAPP, KSR1 RAF1 10/4885MAP1LC3B 829/4885MAPT 136/4885

“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.