Predicted protein targets (top 4)
| gene | UniProt | supporting neighbours | confidence | |
|---|---|---|---|---|
| ▸ | SSTR4 | P31391 | 9/20 | 0.82 |
| ▸ | SSTR2 | P30874 | 14/20 | 0.79 |
| ▸ | SSTR5 | P35346 | 10/20 | 0.79 |
| ▸ | SSTR3 | P32745 | 2/20 | 0.79 |
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 | |
|---|---|---|---|---|
| SCHEMBL29414558 | 0.99 | SSTR4 (0.83) | SSTR4SSTR2SSTR5SSTR3 | |
| SCHEMBL1651014 | 0.99 | SSTR4 (0.83) | SSTR4SSTR2SSTR5SSTR3 | |
| SCHEMBL180440 | 0.99 | SSTR4 (0.83) | SSTR4SSTR2SSTR5SSTR3 | |
| SCHEMBL5069978 | 0.99 | SSTR4 (0.82) | SSTR4SSTR2SSTR5SSTR3 | |
| SCHEMBL29408685 | 0.97 | SSTR4 (0.79) | SSTR4SSTR2SSTR5SSTR3 | |
| SCHEMBL29360979 | 0.95 | SSTR4 (0.78) | SSTR4SSTR2SSTR5SSTR3 | |
| SCHEMBL29653935 | 0.94 | SSTR2 (0.79) | SSTR4SSTR2SSTR5SSTR3 | |
| SCHEMBL23901126 | 0.91 | SSTR2 (0.88) | SSTR4SSTR2SSTR5SSTR3 | |
| SCHEMBL23482744 | 0.91 | SSTR2 (0.88) | SSTR4SSTR2SSTR5SSTR3 | |
| SCHEMBL24064978 | 0.91 | SSTR2 (0.83) | SSTR4SSTR2SSTR5SSTR3 |
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 25 patents — showing the first 20. claimed = in the patent's claims; disclosed = body only.
| Patent | Title | Assignee | Published | Priority | Filing | Country | Status |
|---|---|---|---|---|---|---|---|
| CN-114549685-B | Natural resource one-base map construction method based on data fusion | 江苏省基础地理信息中心 | 2022-07-15 | — | — | CN | claimed |
| CN-114549685-A | Natural resource one-base map construction method based on data fusion | 江苏省基础地理信息中心 | 2022-05-27 | — | — | CN | claimed |
| WO-2025260187-A1 | TOPICAL TREATMENT OF INFLAMMATORY CONDITIONS IN AIRWAY TISSUE WITH CANNABINOID MICROEMULSION COMPOSITIONS | THE GOVERNING COUNCIL OF THE UNIVERSITY OF TORONTO (CA) | 2025-12-26 | — | — | WO | disclosed |
| US-20250281569-A1 | COMPOSITIONS AND METHODS FOR TREATING NEUROENDOCRINE TUMORS | CAMURUS AB (SE) | 2025-09-11 | — | — | US | disclosed |
| US-20250048709-A1 | ELECTRONIC METADEVICE | ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE (EPFL) (CH) | 2025-02-06 | — | — | US | disclosed |
| WO-2025024649-A2 | TWO-AXIS PRINTING FOR MORE UNIFORM FILMS IN AN ATMOSPHERIC-PRESSURE SPATIAL ATOMIC LAYER DEPOSITION PROCESS | THE REGENTS OF THE UNIVERSITY OF MICHIGAN (US) | 2025-01-30 | — | — | WO | disclosed |
| US-20250034706-A1 | Two-Axis Printing for More Uniform Films in an Atmospheric-Pressure Spatial Atomic Layer Deposition Process | THE REGENTS OF THE UNIVERSITY OF MICHIGAN | 2025-01-30 | — | — | US | disclosed |
| US-20240405153-A1 | MEGASONICALLY SOLUTION-PROCESSED NANOSHEET INKS, FABRICATING METHODS, AND APPLICATIONS OF THE SAME | NORTHWESTERN UNIVERSITY | 2024-12-05 | — | — | US | disclosed |
| EP-4445428-A2 | ELECTRONIC METADEVICE | ECOLE POLYTECHNIQUE FEDERALE DE LAUSANNE (EPFL) (CH) | 2024-10-16 | — | — | EP | disclosed |
| CN-118575283-A | Electronic component | 洛桑联邦理工学院 | 2024-08-30 | — | — | CN | disclosed |
| EP-4333874-A1 | COMPOSITIONS AND METHODS FOR TREATING NEUROENDOCRINE TUMORS | Camurus AB (SE) | 2024-03-13 | — | — | EP | disclosed |
| WO-2023051941-A1 | [161Tb]-BASED RADIOPEPTIDES | UNIVERSITÄT BASEL (CH) | 2023-04-06 | — | — | WO | disclosed |
| US-11553924-B2 | Minimally invasive systems with expandable supports for hemostasis in a bleeding closed tissue volume | PROCEPT BIOROBOTICS CORPORATION (US) | 2023-01-17 | — | — | US | disclosed |
| WO-2022235186-A1 | COMPOSITIONS AND METHODS FOR TREATING NEUROENDOCRINE TUMORS | CAMURUS AB (SE) | 2022-11-10 | — | — | WO | disclosed |
| CN-114549685-B | Natural resource one-base map construction method based on data fusion | 江苏省基础地理信息中心 | 2022-07-15 | — | — | CN | disclosed |
| CN-114549685-A | Natural resource one-base map construction method based on data fusion | 江苏省基础地理信息中心 | 2022-05-27 | — | — | CN | disclosed |
| US-20220152228-A1 | COMPOSITIONS AND METHODS FOR RADIOTHERAPY USING CHELATED RADIOTHERAPEUTIC AGENTS AND NON-TARGET TISSUE BLOCKADE | WASHINGTON UNIVERSITY (US) | 2022-05-19 | — | — | US | disclosed |
| CN-114502304-A | Method of applying multiple energy beams in additive manufacturing | 西门子能源全球有限两合公司 | 2022-05-13 | — | — | CN | disclosed |
| US-20220096646-A1 | SSTR-TARGETED CONJUGATES AND PARTICLES AND FORMULATIONS THEREOF | TVA (ABC), LLC | 2022-03-31 | — | — | US | disclosed |
| US-11278293-B2 | Minimally invasive methods for hemostasis in a bleeding closed tissue volume without occlusion | PROCEPT BIOROBOTICS CORPORATION (US) | 2022-03-22 | — | — | US | 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 (3 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-20250281569-A1 | COMPOSITIONS AND METHODS FOR TREATING NEUROENDOCRINE TUMORS | SSTR2, SSTR5, SSTR3 | SSTR4 4/4885SSTR2 1/4885SSTR5 2/4885 |
| US-20220096646-A1 | SSTR-TARGETED CONJUGATES AND PARTICLES AND FORMULATIONS THEREOF | SSTR1, SSTR4, SSTR3 | SSTR4 2/4885SSTR2 5/4885SSTR5 4/4885 |
| US-20220152228-A1 | COMPOSITIONS AND METHODS FOR RADIOTHERAPY USING CHELATED RADIOTHERAPEUTIC AGENTS AND NON-TARGET TISSUE BLOCKADE | VDAC1, SLC8B1, CACNA1G | SSTR4 365/4885SSTR2 357/4885SSTR5 313/4885 |
“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.