Predicted protein targets (top 20)
| gene | UniProt | supporting neighbours | confidence | |
|---|---|---|---|---|
| ▸ | RECQL | P46063 | 1/20 | 0.46 |
| ▸ | S1PR2 | O95136 | 2/20 | 0.44 |
| ▸ | ALDH1A1 | P00352 | 1/20 | 0.43 |
| ▸ | L3MBTL1 | Q9Y468 | 2/20 | 0.42 |
| ▸ | KDM4E | B2RXH2 | 2/20 | 0.42 |
| ▸ | RAB9A | P51151 | 1/20 | 0.42 |
| ▸ | HSD17B10 | Q99714 | 1/20 | 0.42 |
| ▸ | CYP1A2 | P05177 | 1/20 | 0.41 |
| ▸ | CYP3A4 | P08684 | 1/20 | 0.41 |
| ▸ | CYP2C9 | P11712 | 1/20 | 0.41 |
| ▸ | CYP2C19 | P33261 | 1/20 | 0.41 |
| ▸ | POLB | P06746 | 1/20 | 0.41 |
| ▸ | SLC6A4 | P31645 | 2/20 | 0.41 |
| ▸ | RXFP1 | Q9HBX9 | 2/20 | 0.40 |
| ▸ | SMN1; SMN2 | Q16637 | 1/20 | 0.40 |
| ▸ | KMT2A | Q03164 | 1/20 | 0.40 |
| ▸ | GAA | P10253 | 1/20 | 0.40 |
| ▸ | THRB | P10828 | 1/20 | 0.39 |
| ▸ | HTR2A | P28223 | 1/20 | 0.39 |
| ▸ | HTR2C | P28335 | 1/20 | 0.39 |
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.
| Compound | similarity | top predicted | shared targets | |
|---|---|---|---|---|
| SCHEMBL23914753 | 0.87 | S1PR2 (0.43) | S1PR2ALDH1A1KDM4ERAB9AHSD17B10 | |
| SCHEMBL23909071 | 0.87 | RECQL (0.48) | RECQLS1PR2ALDH1A1L3MBTL1KDM4E | |
| SCHEMBL23908956 | 0.77 | RECQL (0.49) | RECQLS1PR2ALDH1A1L3MBTL1CYP1A2 | |
| SCHEMBL23914592 | 0.75 | RECQL (0.47) | RECQLS1PR2ALDH1A1L3MBTL1CYP1A2 | |
| SCHEMBL23915510 | 0.75 | S1PR2 (0.58) | RECQLS1PR2ALDH1A1KDM4EPOLB | |
| SCHEMBL23914960 | 0.73 | S1PR2 (0.44) | S1PR2ALDH1A1KDM4ERAB9AHSD17B10 | |
| SCHEMBL23914932 | 0.70 | MAPT (0.58) | S1PR2POLBSMN1; SMN2GAA | |
| SCHEMBL23915403 | 0.67 | S1PR2 (0.48) | S1PR2ALDH1A1KDM4ERAB9AHSD17B10 | |
| SCHEMBL9197789 | 0.67 | RECQL (0.81) | RECQLALDH1A1L3MBTL1CYP1A2CYP3A4 | |
| SCHEMBL28851696 | 0.65 | KDM4E (0.47) | ALDH1A1KDM4ERAB9APOLBSMN1; SMN2 |
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 5 patents. claimed = in the patent's claims; disclosed = body only.
| Patent | Title | Assignee | Published | Priority | Filing | Country | Status |
|---|---|---|---|---|---|---|---|
| EP-3649119-B1 | NOVEL COMPOUNDS AND PHARMACEUTICAL COMPOSITIONS THEREOF FOR THE TREATMENT OF FIBROSIS | GALAPAGOS NV (BE) | 2021-11-03 | — | — | EP | disclosed |
| EP-3649119-B1 | NOVEL COMPOUNDS AND PHARMACEUTICAL COMPOSITIONS THEREOF FOR THE TREATMENT OF FIBROSIS | GALAPAGOS NV (BE) | 2021-11-03 | — | — | EP | disclosed |
| US-20210315893-A1 | NOVEL COMPOUNDS AND PHARMACEUTICAL COMPOSITIONS THEREOF FOR THE TREATMENT OF FIBROSIS | GILEAD SCIENCES, INC. | 2021-10-14 | — | — | US | disclosed |
| US-20210315893-A1 | NOVEL COMPOUNDS AND PHARMACEUTICAL COMPOSITIONS THEREOF FOR THE TREATMENT OF FIBROSIS | GILEAD SCIENCES, INC. | 2021-10-14 | — | — | US | disclosed |
| CN-110869359-A | Novel compounds and pharmaceutical compositions thereof for the treatment of fibrosis | 加拉帕戈斯股份有限公司 | 2020-03-06 | — | — | CN | 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.
| Patent | Title | Text reads most about | Predicted target · text-rank |
|---|---|---|---|
| US-20210315893-A1 | NOVEL COMPOUNDS AND PHARMACEUTICAL COMPOSITIONS THEREOF FOR THE TREATMENT OF FIBROSIS | S1PR1, S1PR3, S1PR2 | RECQL 1509/4885S1PR2 3/4885ALDH1A1 944/4885 |
“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.