Chlorprothixene 15mg tablets
Requires a prescription from a doctor or prescriber
Chlorprothixene is a typical antipsychotic drug of the thioxanthene (tricyclic) class.
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Therapeutically similar medicines
Similarity is based on WHO Anatomical Therapeutic Chemical (ATC) classification and on a factual NHS dm+d therapeutic-grouping code prefix. Source data: NHS dm+d via TRUD (OGL v3.0), WHO ATC/DDD Index.
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SNOMED CT and dm+d codes from NHS TRUD (Technology Reference data Update Distribution), licensed under the Open Government Licence v3.0. BNF code shown is the factual mapping value distributed by NHS Business Services Authority (NHSBSA) in the dm+d supplementary file under OGL v3.0; it is not affiliated with, nor licensed from, the publishers of the British National Formulary. ATC codes from the WHO Collaborating Centre for Drug Statistics Methodology (whocc.no).
Active and completed clinical studies from ClinicalTrials.gov
Source: ClinicalTrials.gov, a database of the U.S. National Library of Medicine (NLM), National Institutes of Health (NIH). Data accessed via ClinicalTrials.gov API v2. Trial information is provided for research purposes and does not constitute medical advice.
Academic studies and reviews for this medicine's active substance
Showing all 5 studies.
Randomised trials: 1 · 1961–2026
Showing all 5 studies, sorted by most relevant.
Benterkia S, Blythe J
2026
Major depressive disorder (MDD) is a debilitating condition affecting around 280 million people worldwide [1]. Despite advances in pharmacological and psychotherapeutic treatments, around 30% of patients develop treatment-resistant depression, characterized by marked functional impairment, diminished quality of life, and increased suicidality. The global prevalence of depression continues to rise, with a further 25% increase reported since the Covid-19 pandemic [2]. This growing burden underscores the need for novel therapeutic approaches, including investigation of the gut–brain axis (GBA)—the bidirectional communication between the central nervous system and gastrointestinal microbiota. This report reviews pre-clinical and clinical evidence evaluating fecal microbiota transplantation (FMT) as a potential treatment for depression. Disruption of the gut microbiota, termed dysbiosis, has been implicated in the development of psychiatric conditions including depression [1]. Dysbiosis contributes to depression through reduced production of short-chain fatty acids (SCFAs), which normally promote anti-inflammatory cytokines and support neurological functions such as serotonin synthesis [1]. Inflammatory microbes drive gut inflammation and increase intestinal permeability via cytokine release (e.g., TNF-α, IFN-γ, IL-6) [1]. SCFA supplementation in mice has demonstrated antidepressant effects, supporting a link between dysbiosis-driven inflammation and depression [1]. FMT, already approved for refractory Clostridium difficile infection, has been proposed as a novel method to restore microbial balance and improve mental health outcomes [3]. It aims to restore a healthy microbial ecosystem by transferring stool from a screened, healthy donor into the gastrointestinal tract of a recipient. The donor selection process includes rigorous screening, followed by administration via colonoscopy, enema, or encapsulated oral formulations. In the context of depression, FMT is hypothesized to reverse dysbiosis, reduce inflammation, and enhance neurotransmitter function [3]. Figure 1 summarizes these GBA pathways [1, 4-6]. A search of the PubMed database was undertaken to identify studies examining the relationship between FMT and depression. Search terms used were (“faecal microbiota transplantation” OR “fecal/faecal microbiota transplantation” OR “FMT”) AND (“depression” OR “treatment-resistant depression” OR “TRD” OR “mental health” OR “gut–brain axis” OR “gut dysbiosis” OR “microbiome”), including all types of studies published in the English language since 2016 (the year reflecting the novel use of considering FMT for depressive conditions). The search was keyword-based but cross-checked with MeSH headings (e.g., depressive disorder, fecal microbe transplantation) for consistency. The search found one pre-clinical review, two randomized controlled trials (RCTs), and two case reports on the subject of FMT as a treatment for depression [1, 4-10]. Further discussion of each study is presented below. In the “mini review” of pre-clinical studies of gut microbiota and FMT to treat depression, one study reported involved germ-free rats colonized with fecal matter from depressed human donors who developed depressive behaviors, suggesting a causal role for gut dysbiosis [1, 4]. These rats displayed greater immobility and reduced struggling during the forced swim test (p = 0.013). The rats receiving FMT from depressed patients also showed increased abundance of Lachnospira and Ruminococcaceae and a reduction in Coprococcus, compared to rats receiving FMT from healthy donors [4]. The authors concluded that FMT can be used to alter specific gut bacteria which may influence mood regulation through the gut–brain axis. In another study from the same review, FMT from chronically stressed rats induced neuroinflammatory changes and serotonin dysregulation in antibiotic treated healthy mice recipients [1, 5]. These mice likewise showed increased immobility in the tail-suspension and forced-swim tests and reduced hippocampal neurogenesis. The transfer also disrupted tryptophan–serotonin metabolism and reduced fluoxetine efficacy [5]. Another study in the review reported how transfer of healthy microbiota improved stress induced depressive behaviors in rats [1, 6]. Following FMT, there was an increase in brain derived serotonin levels and a reduction in IL-1β and TNF-α within the prefrontal cortex and hippocampus. This antidepressant effect was associated with reduced glial activation and suppression of the NLRP3 inflammasome pathway [6]. The authors of the review concluded that the findings illustrate that both depressive and antidepressant phenotypes can be modulated via FMT, reinforcing the mechanistic plausibility of gut-targeted interventions [1]. Two randomized controlled trials and two case studies have been identified that considered the use of FMT to treat depression [7-10]. The randomized controlled trial of FMT in depression was a pilot study of fifteen patients with moderate to severe MDD (as defined by DSM-5 criteria), who were randomized to receive either FMT or placebo enemas in a 2:1 ratio over four consecutive days, followed by 26 weeks of follow-up [7]. The primary outcome of the study was safety, and the study confirmed FMT was “feasible, acceptable, and well-tolerated”. In addition, exploratory outcomes in the RCT revealed “a trend towards improved quality of life and gastrointestinal symptoms in the FMT group”, with depression scores measured via the Montgomery-Åsberg Depression Rating Scale (MADRS) showing a non-significant improvement (p = 0.67). However, limitations of this study were the small sample size and that depression measures were a secondary exploratory outcome rather than a primary study aim. A second RCT randomized 18 patients with irritable bowel syndrome: diarrhea subtype (IBS-D) to receive FMT or placebo capsules in a 1:1 ratio every other day for 3 days [8]. Depression and anxiety scores, measured using Hamilton Depression and Anxiety rating scales respectively, decreased over the 3-month period after treatment (for depression p < 0.05 at 1 month, p < 0.01 at 2 months and p < 0.05 at 3 months; for anxiety p < 0.01 at 1,2 and 3 months post-treatment). However, this study did not only have a small sample size, but it primarily considered a specific group of patients (those with IBS-D), so findings regarding causality cannot be extrapolated to patients with depression alone. One case report involved a 79-year-old woman with severe, treatment-resistant depression receiving FMT [9]. Prior to FMT, the patient had received six months treatment with flupentixol, escitalopram, and melitracen, with no improvement in her depressive symptoms. Following a single FMT via gastroscopy (the sample donated by her 6-year-old grandson), the patient showed rapid and sustained remission of her depressive symptoms, with her Patient Health Questionnaire (PHQ-9) score decreasing from 21 to 4 by 24 weeks and remaining stable at 12-month follow-up. This case report also noted a marked increase in Lachnospiraceae species, one of the SCFA-producing families linked to anti-inflammatory effects. The second case reported use of FMT as adjunctive therapy in two patients with chronic depression [10]. Both patients were women, aged 53 and 58 years, with Hamilton Depression Rating Scale scores of 21 and 31 at baseline. Both patients received FMT as an adjunct to their “treatment as usual” (TAU): for Patient 1, this entailed lamotrigine, trazadone, bupropion, and vortioxetine; for Patient 2, TAU entailed lamotrigine, trazadone, escitalopram, lorazepam, pregabalin, chlorprothixene, and clotiapine. Both patients reported constipation at baseline, with Patient 1 receiving macrogol and psyllium husk in addition to TAU. After administration of FMT via oral capsules over a single 90-min timeframe, both patients were followed up on a weekly basis, with post-intervention measurements taken at 4 and 8 weeks. For Patient 1, symptoms of depression improved, indicated by a decreased HAMD-score from 21 points at baseline to 9 points 4 weeks post-intervention, but at the 8-week follow-up, the HAMD-score increased to 19. For Patient 2, the HAMD-score decreased from 31 to 10 points after 4 weeks and increased by two points after 8 weeks. The limitations of this case report were noted, including the short duration of follow-up and impractical dosing (30 capsules to be consumed in one sitting). FMT has been proposed as a novel method to treat depression. Pre-clinical research shows that microbiota transfer affects behavior, inflammation, and neurotransmitter levels. Clinical evidence remains limited, but the pilot trial reported is a critical starting point, demonstrating safety and feasibility while highlighting logistical issues such as delivery modality. Case reports offer additional evidence of efficacy, though these findings lack generalizability. Although the literature search for this report was performed using a large and well-renowned biomedical academic database, the inclusion criteria for the search (from 2016 only and in English language) as well as the consideration of only single database use may have limited the yield of results. In addition, methodological variability across all trials such as differences in dosing, delivery, and donor screening limits comparability. Individual differences in baseline microbial profile limit reproducibility and may be responsible for the weaker effects observed in clinical trials compared to pre-clinical models. Multiple challenges hinder the clinical implementation of FMT. Standardization of preparation and delivery remains unresolved. Furthermore, FMT's “one-size-fits-all” nature may overlook individualized microbiota needs. FMT may hold therapeutic potential for major depressive disorder, but clinical evidence remains preliminary. While pre-clinical studies strongly support its mechanistic plausibility, human trials are in early stages. Future large-scale, placebo-controlled RCTs focusing exclusively on depression are needed, ideally comparing FMT with existing antidepressants. Until then, FMT remains experimental but offers hope for patients with treatment-resistant depression. The authors have nothing to report. The authors declare no conflicts of interest. Data sharing not applicable to this article as no datasets were generated or analysed during the current study.
Abstract licence: CC BY
K. Gey, A. Pletscher
The Journal of pharmacology and experimental therapeutics, 1961
- Chlorprothixene
- Dopamine
- Psychopharmacology
Højlund M, Rohde C, Gasse C, et al.
2025
- Schizophrenia
- Antipsychotic Agents
- Polypharmacy
• The prevalence of antipsychotic polypharmacy among Danish patients with schizophrenia decreased over recent decades, although 1 in 3 patients with schizophrenia was still treated with antipsychotic polypharmacy in 2024. • Approximately 50 % of schizophrenia patients treated with antipsychotic polypharmacy in 2024 were not treated with potentially evidence-based combinations, including clozapine and/or partial dopamine receptor agonists. • Treatment with antipsychotic polypharmacy was associated with both higher total antipsychotic doses, but also indicators of a more severe illness trajectory than antipsychotic monotherapy. Antipsychotic polypharmacy (APP) remains common in the treatment of schizophrenia despite increased risk of adverse events and limited evidence of additional efficacy compared to antipsychotic monotherapy (APM). We conducted a nationwide, register-based cohort study to characterize APP among patients with schizophrenia in Denmark, 1997–2021. Patients were followed from year 3 after the schizophrenia diagnosis and onwards. APP was defined as treatment with ≥2 antipsychotics lasting ≥60 days. Of 29,696 patients with schizophrenia (55 % males; median age 29 years [interquartile range (IQR) = 22–41 years]; median follow-up 10.5 years [IQR 5.1–16.3]), 51 % of patients were exposed to APP at some point during follow-up. The one-year prevalence of APP decreased from 44 % in 2005 to 29 % in 2024. In 2024, 58 % of APP regimens involved quetiapine, and 52 % involved clozapine and/or partial dopamine receptor agonists. Median total dose of antipsychotics was significantly higher with APP than with APM (1.4 vs. 0.7 WHO-defined daily doses; p < 0.001). In 2024, 43 % of APP included chlorprothixene or quetiapine (≤100mg/day). Use of APP was associated with male sex, more and longer hospitalizations, suicide attempts/self-harm, alcohol/substance use, use of antidepressants, mood stabilizers, hypnotics, or benzodiazepines (all p < 0.001). Although the prevalence of APP in schizophrenia decreased from 2005 to 2024, one-third of patients with schizophrenia remained exposed to APP. Only half of APP included potentially evidence-based combinations with clozapine and/or partial dopamine-receptor agonists. APP was associated with higher total antipsychotic doses, but also with more severe schizophrenia illness. These findings can inform future studies to investigate the comparative efficacy and safety of specific APP combinations and potential opportunities for deprescribing APP.
Abstract licence: CC BY
Andrzej Silczuk, Malwina Hołownia-Voloskova, Anna Mosiołek, et al.
Frontiers in Pharmacology, 2026
Background: The pandemic profoundly disrupted healthcare and education systems, potentially affecting the pharmacological management of neurodevelopmental disorders (NDDs) in children and adolescents. Objective: To examine national trends in psychotropic drug dispensing among pediatric patients with NDDs in Poland before, during, and after the COVID-19 pandemic. Methods: A retrospective pharmacoepidemiological analysis was conducted using data from the IQVIA Pharmascope database, which records all reimbursed medicines dispensed by community pharmacies in Poland. Monthly and annual dispensing volumes were analyzed for January 2018-December 2024, focusing on drugs commonly used in ADHD, autism spectrum disorder, and intellectual disability. Three time periods were compared: pre-pandemic (2018-February 2020), pandemic (March 2020-June 2022), and post-pandemic (July 2022-December 2024). Results: A marked surge in psychotropic drug dispensing was observed in 2021, with total annual utilization jumping to nearly 2.7 billion dispensed days of therapy (DOT)-more than double the levels seen in any prior year. This represents a 161% increase compared with 2020, when volumes were approximately 1.0 billion DOT. The most substantial increases occurred for sedative and anxiolytic agents (hydroxyzine, diazepam, alprazolam, lorazepam) and antipsychotics (olanzapine, aripiprazole, risperidone, chlorprothixene, haloperidol, levomepromazine), consistent with pandemic related stress, limited access to non-pharmacological care, and possible stockpiling. Dispensing volumes fell sharply in 2022 to around 1.1 billion DOT, returning close to pre-pandemic levels and suggesting these effects were transient. A modest upward trend resumed thereafter, with volumes rising to approximately 1.2 billion DOT in 2023 and 1.5 billion DOT in 2024, indicating gradual recovery but remaining far below the extraordinary 2021 peak. Conclusion: The COVID-19 pandemic induced broad but temporary increases in pediatric psychotropic drug dispensing, except for ADHD pharmacotherapies, which demonstrated a persistent upward trend. These findings suggest lasting shifts in diagnostic and therapeutic practices and underscore the need for continued monitoring of stimulant use and prescribing appropriateness in pediatric neurodevelopmental care.
Abstract licence: CC BY
Hauser F, Reichert C, Kullak-Ublick GA, et al.
2026
INTRODUCTION: Supratherapeutic exposures to pharmaceuticals are a considerable cause of seizures, often leading to severe complications. This study aimed to identify the drugs most frequently associated with seizures in overdose and to evaluate their seizure potential, focusing on dosage and age-related differences. METHODS: A retrospective analysis of single-agent pharmaceutical exposures, mostly overdoses, reported to Tox Info Suisse from 1 January 2011 to 31 December 2023 was conducted. Cases with seizures were compared to all cases ("seizure rate") and to all cases involving the same substance ("seizure potential"). The median ingested dose was compared to the maximum approved daily dosage ("relative overdose"), and relative overdose in seizure versus non-seizure cases with the same substance was compared ("seizure overdose ratio"). RESULTS: There were 20,176 single-agent pharmaceutical exposures, with seizures reported in 233 cases (1.2%). Antidepressants were the most frequently implicated drug class (34.3%). Mefenamic acid (15.7%), quetiapine (10%), and bupropion (10%) were most commonly associated with seizures. Cefepime (37.5%) and bupropion (23.7%) showed the highest seizure potentials. Seizures occurred at low relative overdoses for clozapine, chlorprothixene, and trimipramine (1.3×, 2.0×, 2.8×, respectively). Tricyclic antidepressants (notably trimipramine), mefenamic acid, tolperisone, and bupropion exhibited low seizure overdose ratios (1.4, 2.0, 2.1, 2.1, respectively). Age-related seizure rates did not differ significantly between adolescents (1.7%) and adults (1.5%). DISCUSSION: Besides the established seizure association of antidepressants, this analysis confirmed the high seizure risk of overdoses of mefenamic acid and bupropion. A comparative assessment using relative overdoses and seizure overdose ratios revealed that even mild overdoses of clozapine or chlorprothixene induce seizures. For mefenamic acid, tolperisone and bupropion, seizures occurred at overdoses only about twice those not associated with seizures. Seizures from intravenously administered cefepime were caused by not adapting the posology to decreased kidney function. CONCLUSION: Overdoses of mefenamic acid, quetiapine, bupropion, venlafaxine and tramadol, respectively, were most commonly associated with seizures. Cefepime exhibited the highest seizure potential, in patients with impaired renal function. Tricyclic antidepressants (trimipramine, amitriptyline), tolperisone, mefenamic acid and bupropion were associated with seizures at relatively small overdoses compared to respective non-seizure cases.
Abstract licence: CC BY
Sources: aggregated from Europe PMC (EMBL-EBI), OpenAlex, Crossref, PubMed and other open scholarly databases. Retracted articles are excluded. Study information is provided for research purposes and does not constitute medical advice.
Pharmacology and chemical data from DrugBank
Key facts
Drug status
Approved
Major interactions
1 found
Half-life
8 to 12 hours
Mechanism
Chlorprothixene blocks postsynaptic mesolimbic dopaminergic D1 and D2 receptors…
Food interactions
2 warnings
Human targets
11 targets
Data: DrugBank · CC BY-NC 4.0
Pharmacokinetics at a glance
Absorption
Half-life
8 to 12 hours
Metabolism
Pharmacokinetic data: DrugBank · CC BY-NC 4.0
Known interactions with other medications. Always consult a healthcare professional.
Showing 50 of 1294 interactions
How the body processes this drug — absorption, distribution, metabolism, and elimination
Proteins and enzymes this drug interacts with in the body
PMID:21645528
Positively regulates postnatal regression of retinal hyaloid vessels via suppression of VEGFR2/KDR activity, downstream of OPN5 (By similarity)
PMID:1330647 PMID:18703043 PMID:19057895 PMID:21645528 PMID:22300836 PMID:35084960 PMID:38552625
Also functions as a receptor for various drugs and psychoactive substances, including mescaline, psilocybin, 1-(2,5-dimethoxy-4-iodophenyl)-2-aminopropane (DOI) and lysergic acid diethylamide (LSD) .
PMID:28129538 PMID:35084960
Ligand binding causes a conformation change that triggers signaling via guanine nucleotide-binding proteins (G proteins) and modulates the activity of downstream effectors .
PMID:28129538 PMID:35084960
HTR2A is coupled to G(q)/G(11) G alpha proteins and activates phospholipase C-beta, releasing diacylglycerol (DAG) and inositol 1,4,5-trisphosphate (IP3) second messengers that modulate the activity of phosphatidylinositol 3-kinase and promote the release of Ca(2+) ions from intracellular stores, respectively .
PMID:18703043 PMID:28129538 PMID:35084960
Beta-arrestin family members inhibit signaling via G proteins and mediate activation of alternative signaling pathways .
PMID:28129538 PMID:35084960
Affects neural activity, perception, cognition and mood .
PMID:18297054
Plays a role in the regulation of behavior, including responses to anxiogenic situations and psychoactive substances. Plays a role in intestinal smooth muscle contraction, and may play a role in arterial vasoconstriction (By similarity)
PMID:33828102 PMID:8280179
Through the H1 receptor, histamine mediates the contraction of smooth muscles and increases capillary permeability due to contraction of terminal venules. Also mediates neurotransmission in the central nervous system and thereby regulates circadian rhythms, emotional and locomotor activities as well as cognitive functions (By similarity)
Proteins that transport this drug across cell membranes
PMID:2897240 PMID:35970996 PMID:8898203 PMID:9038218 PMID:35507548
Catalyzes the flop of phospholipids from the cytoplasmic to the exoplasmic leaflet of the apical membrane. Participates mainly to the flop of phosphatidylcholine, phosphatidylethanolamine, beta-D-glucosylceramides and sphingomyelins .
PMID:8898203
Energy-dependent efflux pump responsible for decreased drug accumulation in multidrug-resistant cells PMID:2897240 PMID:35970996 PMID:9038218
ATC N05AF03
Chemical identifiers
CAS, UNII, InChI Key and database cross-references
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Chemical identifiers
CAS, UNII, InChI Key and database cross-references
Linked compound data from DrugBank Open Data (CC BY-NC 4.0)
Chlorprothixene
Additional database identifiers
ChemSpider
580849
BindingDB
50240514
ZINC
ZINC000000001137
HUGO Gene Nomenclature Committee (HGNC)
HGNC:3023
GenAtlas
DRD2
GeneCards
DRD2
GenBank Gene Database
M30625
GenBank Protein Database
181432
Guide to Pharmacology
215
UniProt Accession
DRD2_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:3020
GenAtlas
DRD1
GeneCards
DRD1
GenBank Gene Database
X55760
GenBank Protein Database
30397
Guide to Pharmacology
214
UniProt Accession
DRD1_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:3024
GenAtlas
DRD3
GeneCards
DRD3
GenBank Gene Database
U32499
GenBank Protein Database
927342
Guide to Pharmacology
216
UniProt Accession
DRD3_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:5293
GenAtlas
HTR2A
GeneCards
HTR2A
GenBank Gene Database
S42168
GenBank Protein Database
36431
Guide to Pharmacology
6
UniProt Accession
5HT2A_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:5182
GenAtlas
HRH1
GeneCards
HRH1
GenBank Gene Database
Z34897
GenBank Protein Database
510296
Guide to Pharmacology
262
UniProt Accession
HRH1_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:5286
GenAtlas
HTR1A
GeneCards
HTR1A
GenBank Gene Database
M28269
GenBank Protein Database
189928
Guide to Pharmacology
1
UniProt Accession
5HT1A_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:5287
GenAtlas
HTR1B
GeneCards
HTR1B
GenBank Gene Database
D10995
GenBank Protein Database
219679
Guide to Pharmacology
2
UniProt Accession
5HT1B_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:5289
GenAtlas
HTR1D
GeneCards
HTR1D
GenBank Gene Database
M89955
GenBank Protein Database
177772
Guide to Pharmacology
3
UniProt Accession
5HT1D_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:5291
GenAtlas
HTR1E
GeneCards
HTR1E
GenBank Gene Database
M91467
GenBank Protein Database
177774
Guide to Pharmacology
4
UniProt Accession
5HT1E_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:5292
GenAtlas
HTR1F
GeneCards
HTR1F
GenBank Gene Database
L05597
GenBank Protein Database
307420
Guide to Pharmacology
5
UniProt Accession
5HT1F_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:5293
GenAtlas
HTR2A
GeneCards
HTR2A
GenBank Gene Database
S42168
GenBank Protein Database
36431
Guide to Pharmacology
6
UniProt Accession
5HT2A_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:5294
GenAtlas
HTR2B
GeneCards
HTR2B
GenBank Gene Database
X77307
GenBank Protein Database
475198
Guide to Pharmacology
7
UniProt Accession
5HT2B_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:5295
GenAtlas
HTR2C
GeneCards
HTR2C
GenBank Gene Database
M81778
GenBank Protein Database
338028
Guide to Pharmacology
8
UniProt Accession
5HT2C_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:5297
GenAtlas
HTR3A
GeneCards
HTR3A
GenBank Gene Database
D49394
GenBank Protein Database
681914
Guide to Pharmacology
373
UniProt Accession
5HT3A_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:5298
GeneCards
HTR3B
Guide to Pharmacology
374
UniProt Accession
5HT3B_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:24003
GeneCards
HTR3C
UniProt Accession
5HT3C_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:24004
GeneCards
HTR3D
UniProt Accession
5HT3D_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:24005
GeneCards
HTR3E
UniProt Accession
5HT3E_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:5299
GenAtlas
HTR4
GeneCards
HTR4
GenBank Gene Database
Y12505
GenBank Protein Database
2661757
Guide to Pharmacology
9
UniProt Accession
5HT4R_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:5301
GenAtlas
HTR6
GeneCards
HTR6
GenBank Gene Database
L41147
GenBank Protein Database
1162924
Guide to Pharmacology
11
UniProt Accession
5HT6R_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:5302
GenAtlas
HTR7
GeneCards
HTR7
GenBank Gene Database
U68487
GenBank Protein Database
1857143
Guide to Pharmacology
12
UniProt Accession
5HT7R_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:1950
GenAtlas
CHRM1
GeneCards
CHRM1
GenBank Gene Database
X52068
GenBank Protein Database
34451
Guide to Pharmacology
13
UniProt Accession
ACM1_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:1951
GenAtlas
CHRM2
GeneCards
CHRM2
GenBank Gene Database
M16404
GenBank Protein Database
177990
Guide to Pharmacology
14
UniProt Accession
ACM2_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:1952
GenAtlas
CHRM3
GeneCards
CHRM3
GenBank Gene Database
X15266
GenBank Protein Database
32324
Guide to Pharmacology
15
UniProt Accession
ACM3_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:1953
GenAtlas
CHRM4
GeneCards
CHRM4
GenBank Gene Database
M16405
GenBank Protein Database
61970253
Guide to Pharmacology
16
UniProt Accession
ACM4_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:1954
GenAtlas
CHRM5
GeneCards
CHRM5
GenBank Gene Database
M80333
GenBank Protein Database
177988
Guide to Pharmacology
17
UniProt Accession
ACM5_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:40
GenAtlas
ABCB1
GeneCards
ABCB1
GenBank Gene Database
M14758
GenBank Protein Database
307180
Guide to Pharmacology
768
UniProt Accession
MDR1_HUMAN
DrugBank citations
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Structured knowledge from the free knowledge base
ATC classifications (Wikidata)
Linked open data from Wikidata (Q423809), a free and open knowledge base operated by the Wikimedia Foundation. Data is available under the Creative Commons CC0 1.0 Public Domain Dedication. WHO INN from the World Health Organization.