Drug Information
| Drug General Information | Top | |||
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| Drug ID |
D00AWT
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| Former ID |
DAP000413
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| Drug Name |
Propericiazine
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| Synonyms |
Aolept; Nemactil; Neulactil; Neuleptil; PERICYAZINE; Periciazina; Periciazine; Periciazinum; Piperocyanomazine;Periciazine [INN]; Bayer 1409; IC 6002; RP 8908; WH 7508; Neulactil (TN); Neuleptil (TN); Periciazina [INN-Spanish]; Periciazinum [INN-Latin]; Propericiazine (JAN); Propericiazine(jan); SKF 20,716; Cyano-3 ((hydroxy-4 piperidyl-1)-3 propyl)-10 phenothiazine; Cyano-3 ((hydroxy-4 piperidyl-1)-3 propyl)-10 phenothiazine [French]; 10-(3-(4-Hydroxypiperidino)propyl)phenothiazine-2-carbonitrile; 10-[3-(4-hydroxypiperidin-1-yl)propyl]-10H-phenothiazine-2-carbonitrile; 10-[3-(4-hydroxypiperidin-1-yl)propyl]phenothiazine-2-carbonitrile; 2-Cyano-10-(3-(4-hydroxy-1-piperidyl)propyl)phenothiazine; 2-Cyano-10-(3-(4-hydroxypiperidino)propyl)phenothiazine; 6909 RP
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| Drug Type |
Small molecular drug
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| Indication | Psychiatric disorder [ICD-11: 6E8Z] | Approved | [1], [2], [3] | |
| Therapeutic Class |
Antipsychotic Agents
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| Company |
Sanofi-Aventis
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| Structure |
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Download2D MOL |
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| Formula |
C21H23N3OS
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| Canonical SMILES |
C1CN(CCC1O)CCCN2C3=CC=CC=C3SC4=C2C=C(C=C4)C#N
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| InChI |
1S/C21H23N3OS/c22-15-16-6-7-21-19(14-16)24(18-4-1-2-5-20(18)26-21)11-3-10-23-12-8-17(25)9-13-23/h1-2,4-7,14,17,25H,3,8-13H2
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| InChIKey |
LUALIOATIOESLM-UHFFFAOYSA-N
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| CAS Number |
CAS 2622-26-6
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| PubChem Compound ID | ||||
| PubChem Substance ID |
7703132, 7848548, 7980281, 8150082, 8152913, 10516133, 11336049, 11361288, 11364508, 11367070, 11369632, 11371656, 11373958, 11377794, 11462260, 11485343, 11489420, 11490564, 11492025, 11495428, 14803709, 26612557, 26680430, 26748871, 26748872, 29223833, 46505085, 47291188, 47810806, 48259291, 50006266, 50107474, 56464150, 57322425, 79997266, 85789600, 92124822, 99301962, 103555929, 103846500, 104307313, 117515052, 124636904, 126673224, 128541428, 131349353, 134224641, 134337709, 134982092, 136913034
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| ChEBI ID |
CHEBI:31981
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| ADReCS Drug ID | BADD_D01738 | |||
| SuperDrug ATC ID |
N05AC01
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| SuperDrug CAS ID |
cas=002622266
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| Interaction between the Drug and Microbe | Top | |||
|---|---|---|---|---|
| The Metabolism of Drug Affected by Studied Microbe(s) | ||||
| The Order in the Taxonomic Hierarchy of the following Microbe(s): Bacteroidales | ||||
|
Studied Microbe: Alistipes indistinctus DSM22520
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|
[4] | |||
| Hierarchy | ||||
| Experimental Method | High-throughput screening | |||
| Description | Pericyazine can be metabolized by Alistipes indistinctus DSM22520 (log2FC = -0.857; p = 0.05). | |||
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Studied Microbe: Bacteroides caccae ATCC 43185
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|
[4] | |||
| Hierarchy | ||||
| Experimental Method | High-throughput screening | |||
| Description | Pericyazine can be metabolized by Bacteroides caccae ATCC 43185 (log2FC = -1.937; p = 0.025). | |||
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Studied Microbe: Bacteroides dorei DSM 17855
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|
[4] | |||
| Hierarchy | ||||
| Experimental Method | High-throughput screening | |||
| Description | Pericyazine can be metabolized by Bacteroides dorei DSM 17855 (log2FC = -1.453; p = 0.007). | |||
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Studied Microbe: Bacteroides fragilis HMW 610
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|
[4] | |||
| Hierarchy | ||||
| Experimental Method | High-throughput screening | |||
| Description | Pericyazine can be metabolized by Bacteroides fragilis HMW 610 (log2FC = -0.923; p = 0.007). | |||
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Studied Microbe: Bacteroides thetaiotaomicron 3731
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|
[4] | |||
| Hierarchy | ||||
| Experimental Method | High-throughput screening | |||
| Description | Pericyazine can be metabolized by Bacteroides thetaiotaomicron 3731 (log2FC = -0.623; p = 0.019). | |||
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Studied Microbe: Bacteroides thetaiotaomicron 7330
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|
[4] | |||
| Hierarchy | ||||
| Experimental Method | High-throughput screening | |||
| Description | Pericyazine can be metabolized by Bacteroides thetaiotaomicron 7330 (log2FC = -0.46; p = 0.041). | |||
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Studied Microbe: Bacteroides vulgatus ATCC 8482
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|
[4] | |||
| Hierarchy | ||||
| Experimental Method | High-throughput screening | |||
| Description | Pericyazine can be metabolized by Bacteroides vulgatus ATCC 8482 (log2FC = -0.656; p = 0.041). | |||
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Studied Microbe: Parabacteroides distasonis ATCC 8503
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|
[4] | |||
| Hierarchy | ||||
| Experimental Method | High-throughput screening | |||
| Description | Pericyazine can be metabolized by Parabacteroides distasonis ATCC 8503 (log2FC = -0.587; p = 0.008). | |||
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Studied Microbe: Parabacteroides johnsonii DSM 18315
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|
[4] | |||
| Hierarchy | ||||
| Experimental Method | High-throughput screening | |||
| Description | Pericyazine can be metabolized by Parabacteroides johnsonii DSM 18315 (log2FC = -0.701; p = 0.002). | |||
| Target and Pathway | Top | |||
|---|---|---|---|---|
| Target(s) | Adrenergic receptor alpha-1B (ADRA1B) | Target Info | Binder | [3] |
| KEGG Pathway | Calcium signaling pathway | |||
| cGMP-PKG signaling pathway | ||||
| Neuroactive ligand-receptor interaction | ||||
| Adrenergic signaling in cardiomyocytes | ||||
| Vascular smooth muscle contraction | ||||
| Salivary secretion | ||||
| NetPath Pathway | IL2 Signaling Pathway | |||
| Panther Pathway | Alpha adrenergic receptor signaling pathway | |||
| Pathway Interaction Database | LPA receptor mediated events | |||
| Reactome | Adrenoceptors | |||
| G alpha (q) signalling events | ||||
| G alpha (12/13) signalling events | ||||
| WikiPathways | Monoamine GPCRs | |||
| Calcium Regulation in the Cardiac Cell | ||||
| GPCRs, Class A Rhodopsin-like | ||||
| Vitamin D Receptor Pathway | ||||
| Gastrin-CREB signalling pathway via PKC and MAPK | ||||
| GPCR ligand binding | ||||
| GPCR downstream signaling | ||||
| AMPK Signaling | ||||
| References | Top | |||
|---|---|---|---|---|
| REF 1 | Drug Information of Troleandomycin from nextbio research in illumina. 2015. | |||
| REF 2 | Affinity of neuroleptics for D1 receptor of human brain striatum. J Psychiatry Neurosci. 1994 Jul;19(4):265-9. | |||
| REF 3 | Interaction of neuroleptics and antidepressants with rat brain alpha 2-receptors: a possible relationship between alpha 2-receptor antagonism and antidepressant action. Biol Psychiatry. 1984 Sep;19(9):1283-91. | |||
| REF 4 | Mapping human microbiome drug metabolism by gut bacteria and their genes. Nature. 2019 Jun;570(7762):462-467. | |||
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