Ritlecitinib 50mg capsules
Requires a prescription from a doctor or prescriber
Ritlecitinib (PF-06651600) is a highly selective inhibitor of Janus kinase 3 (JAK3) and the tyrosine kinase expressed in hepatocellular carcinoma (TEC) kinase family.
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Litfulo 50mg capsules
WHO defined daily dose (DDD)
50 mg
Not a recommended dose. The DDD is the assumed average maintenance dose per day for a drug used for its main indication in adults. It is a statistical measure used for research and comparison purposes only.
Source: WHO Collaborating Centre for Drug Statistics Methodology, distributed via the NHS dm+d supplementary mapping files (NHSBSA). Contains public sector information licensed under the Open Government Licence v3.0.
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.
NHS prescribing volume and spending trends
Guidelines from the National Institute for Health and Care Excellence
NICE clinical guidance(2)
Ritlecitinib for treating severe alopecia areata in people 12 years and over (TA958)
Deuruxolitinib for treating severe alopecia areata (TA1178)
Source: National Institute for Health and Care Excellence (NICE). Contains public sector information licensed under the Open Government Licence v3.0.
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Codes for healthcare professionals and prescribing systems
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NHS UK identifiers
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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. 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 the 50 most relevant studies.
Reviews & meta-analyses: 11 · Randomised trials: 10 · 2021–2026
Showing the 50 most relevant studies, sorted by most relevant.
B. King, Xingqi Zhang, W. G. Harcha, et al.
Lancet, 2023
D. Aceituno, C. G. Fawsitt, G. M. Power, et al.
Journal of the European Academy of Dermatology and Venereology, 2024
- Alopecia Areata
- Sulfonamides
- Azetidines
AbstractRitlecitinib and baricitinib are recently approved systemic treatments for severe alopecia areata (AA). Both demonstrated superiority over placebo in hair regrowth measured by the Severity of Alopecia Tool (SALT), but they have not been directly compared in randomized controlled trials (RCTs). We conducted a systematic review of RCTs evaluating treatments in AA and estimated the efficacy and safety of ritlecitinib and baricitinib at Week 24 using Bayesian network meta‐analysis. To adjust and explore effect modifiers, population‐adjusted indirect comparison was performed via multilevel network meta‐regression (ML‐NMR) using ritlecitinib individual patient data (IPD). Co‐primary endpoints were SALT ≤20 and SALT ≤10 at Week 24. Unanchored population adjusted ITCs were also computed to evaluate SALT ≤10 and SALT ≤20 endpoints at Week 48/52. Four RCTs (ALLEGRO 2a [NCT02974868], ALLEGRO 2b/3 [NCT03732807], BRAVE‐AA1 [NCT03570749] and BRAVE‐AA2 [NCT03899259]) were included. No evidence of a difference between ritlecitinib 50 mg and baricitinib 4 mg on SALT ≤10 (odds ratio, OR: 0.96, 95% credible interval, CrI: 0.18–7.21) and SALT ≤20 (OR: 2.16, 95% CrI: 0.48–16.46) at Week 24 was found. ML‐NMR using ALLEGRO IPD adjusted for sex, SALT score at baseline, duration of current episode and disease duration found evidence of effect modification, although relative efficacy between ritlecitinib 50 mg and baricitinib 4 mg remained unchanged. Unanchored population‐adjusted ITC at Week 48/52 was consistent with previous results. We found similar efficacy between ritlecitinib 50 mg and baricitinib 4 mg. These ITCs was informed by only four RCTs, uncertainty was considerable, and there was evidence of effect modification, highlighting the need for further quality research in AA.
Abstract licence: CC BY-NC 4.0
K. Ezzedine, E. Peeva, Y. Yamaguchi, et al.
Journal of the American Academy of Dermatology, 2022
Samah Omar Ali Alfahl, Abdullateef Alzolibani
Journal of Clinical Medicine, 2025
Background: Alopecia areata (AA) typically presents as round patches of hair loss (e.g., scalp, eyebrow/eyelash, and body), has an unpredictable disease course, and may relapse and remit. AA is a condition with a lifetime risk of approximately 2% in the global population with an annual incidence rate ranging from 2.53 to 26 per 100,000. This comprehensive systematic review and meta-analysis was performed to determine the safety and efficacy of Ritlecitinib in patients with AA. Methods: A systematic search was conducted in PubMed and Cochrane CENTRAL Library for randomized controlled trials (RCTs). We used mean difference with 95% confidence intervals to assess the effectiveness and odds ratio to assess the safety profile. A total of 65 publications were identified through a database search. Following two stages of screening, we included 13 publications. All the studies were parallel and double-blind RCTs and published between 2020 and 2022. Results: Our analysis revealed a significant reduction in SALT score at week 12 and week 24 of (−17.43 [−24.67 to −10.20]; p < 0.0001) and (−20.95 [−29.01 to −12.89]; p < 0.0001), respectively, in patients treated with Ritlecitinib compared to placebo. Furthermore, a significant improvement in PGIC score at week 24 was observed. Additionally, Ritlecitinib revealed a slightly higher reduction in AASIS score compared to placebo; however, this difference was statistically non-significant. Notably, the Ritlecitinib group experienced a higher frequency of headaches, acne and nasopharyngitis compared to placebo, while the placebo group reported a greater occurrence of serious adverse events compared to the Ritlecitinib group. This higher rate of serious events in the placebo arm could be explained by the placebo effect, although these differences were statistically non-significant. Conclusions: These findings suggest that Ritlecitinib holds promise as an effective treatment for AA with an acceptable safety profile, warranting further investigation in larger cohorts and long-term studies.
Abstract licence: CC BY 4.0
Gupta AK, Bamimore MA, Mirmirani P, et al.
2025
- Alopecia Areata
- Janus Kinase Inhibitors
- Sulfonamides
BackgroundScant evidence exists for the relative efficacy of therapies for alopecia areata (AA)-including those approved by the Food and Drug Administration, namely, baricitinib, deuruxolitinib, and ritlecitinib.AimsWe determined the relative efficacy and safety of monotherapy with janus kinase inhibitors (JAKIs), apremilast, and dupilumab.MethodsFollowing a systematic review, we conducted Bayesian network meta-analysis (NMAs) that produced Surface Under the Cumulative RAnking (SUCRA) values and point estimates for pairwise relative effects; we also performed sensitivity analyses.ResultsIn total, regimens with eight various JAKIs were compared, namely, ruxolitinib, ATI-501, baricitinib, brepocitinib, deuruxolitinib, ivarmacitinib, ritlecitinib, and tofacitinib. Our analyses ranked "deuruxolitinib 12 mg twice daily for 24 weeks," the most efficacious insofar as "proportion of participants achieving SALT ≤ 20 at 24 weeks" (SALT20) (SUCRA = 92.6%), and "proportion of participants achieving SALT ≤ 10 at 24 weeks" (SALT10) (SUCRA = 97.7%). As per SALT20, the highest-ranked regimen was more efficacious than "baricitinib 2 mg once daily for 24 weeks" (odds ratio [OR] = 5.37, 95% credible interval [CI] = 1.59, 13.70, p 20 (OR = 2.25, 95% CI = 1.56, 3.21, p ConclusionsWe produced high-quality evidence on the comparative effectiveness of monotherapies for AA with various regimens of 8 JAKIs, including the FDA-approved ones. Our findings can improve clinicians' decision-making and update guidelines for medical practice.
Abstract licence: CC BY
Shaikha Salah Alhaj, Amani AlFalasi, Mohamed Ahmed, et al.
2024
BACKGROUND Alopecia areata (AA) is an autoimmune illness with an underlying immuno-inflammatory etiology. It is characterized by nonscarring hair loss of the scalp, face, and/or body. Ritlecitinib is an orally administered drug that inhibits Janus Kinase 3 (JAK3) and the TEC kinase family, which are tyrosine kinases expressed in hepatocellular cancer and has been under investigation for the treatment of alopecia areata. OBJECTIVE Our meta-analysis is the first of its kind to synthesize the available literature on the topic, thereby studying the efficacy of Ritlecitinib in AA. METHODS A literature search was conducted on PubMed, Google Scholar, and Scopus to find relevant literature. RevMan 5.4 was used to perform statistical analysis. A random effects model was used to report the pooled Severity of Alopecia Tool (SALT) score. Risk Ratios along with their 95% Confidence Intervals (CIs), were reported for the outcomes. This review is registered with PROSPERO under the identifier: CRD42024539926. RESULTS A total of 4 studies were included in this systematic review and meta-analysis, including 411 patients. The mean age of patients in studies ranged from 14 to 43 years. The total number of patients who received Ritlecitinib was 205. All the included studies had a low risk of bias. Two trials, which reported responses of the reduction in SALT scores from baseline least square mean difference from placebo, were included in our review. The summary Mean Difference (MD) for the ritlecitinib versus placebo group was 30.58 (P < 0.00001). Other outcomes that were reported by our included studies were people who had <10 SALT scores and people who had <20 SALT scores. The pooled RR of patients who experienced adverse events was 1.27 (95% CI: 0.81 - 1.99, P = 0.30). CONCLUSIONS To sum up, ritlecitinib is a potentially effective treatment for Alopecia Areata that focuses on the complex pathophysiology of this somewhat debilitating illness. However, there still needs to be more research regarding ritlecitinib's full potential, which needs to be investigated with the aid of clinical and translational studies.
Abstract licence: CC BY
Hira Ghani, Mariana McCune, Eleanor Ostroff, et al.
Journal of Investigative Dermatology, 2025
Gupta AK, Bamimore MA, Seneschal J, et al.
2025
- Vitiligo
- Dermatologic Agents
- Adrenal Cortex Hormones
BackgroundVitiligo, a stigmatizing condition characterized by patchy depigmented skin, has an estimated global prevalence of 0.36%. This condition is a risk factor for anxiety, depression, and even suicidal ideation. Hitherto, no network meta-analysis has investigated the relative effect of vitiligo on relevant monotherapies.AimThe current study determined the relative effect of monotherapies for vitiligo through network meta-analyses (NMAs).MethodsThe peer-reviewed literature was systematically searched through PubMed and Scopus; studies that were eligible for quantitative analyses were those that were published in English and had an arm that investigated the effect of a monotherapy on vitiligo at 6 months. Studies of the randomized and observational designs were included.ResultsThe retrieved data were sufficient to analyze networks for phototherapy, Janus kinase inhibitors (JAKIs), calcineurin inhibitors, cyclosporine, corticosteroids, azathioprine, and minocycline. Modalities' effects, in each of the networks, were ranked with the surface under the cumulative ranking curve (SUCRA) metric; league tables were produced to depict agents' pairwise relative effects. Our secondary outcome was discontinuation due to any adverse event (AE) at 6 months.ConclusionsNo significant differences are observed among JAK inhibitors; however, upadacitinib, cyclosporine, ritlecitinib, and dexamethasone are significantly more effective than minocycline. Psoralen (oral) + ultraviolet A (PUVA) and narrow band ultraviolet B (NB-UVB) regimens show similar efficacy for repigmentation. Ruxolitinib 1.5% cream (once or twice daily), ruxolitinib 0.5% cream once daily, and ruxolitinib 0.15% cream once daily for 6 months do not differ significantly in efficacy. Mometasone furoate and tacrolimus 0.1% ointment are more effective than tacrolimus 0.03%.
Abstract licence: CC BY
Babul A, Mehta D, Soliman Y, et al.
2026
Network and conventional meta-analyses can increase precision for clinical decision-making but risk producing misleading hierarchies when they pool ineffective, unsafe, or unapproved dosing regimens alongside licensed therapies. Using recent evidence syntheses in alopecia areata, we show how inclusion of small, underpowered dose strata and regimens that never advanced to pivotal trials or were not pursued for regulatory approval (for example, deuruxolitinib 4 mg twice‑daily {BID}, deuruxolitinib 12 mg BID, and ritlecitinib 200 mg loading doses) can distort pooled efficacy and safety estimates, elevate unapproved regimens in rankings, and invite inappropriate causal inferences. We outline key methodological safeguards and offer concrete recommendations as follows: prespecify exclusion or planned sensitivity analyses for unapproved doses, transparently report approval status and relevant regulatory actions (for example, clinical holds) alongside pooled safety estimates, avoid causal attributions from small strata and present uncertainty appropriately, and report sensitivity analyses that omit unapproved doses. Implementing these practices preserves the statistical advantages of meta-analysis while protecting clinicians, guideline panels, and payors from misleading inferences drawn from small or unrepresentative dose groups.
Abstract licence: CC BY
M. Hordinsky, Adelaide Hebert, M. Gooderham, et al.
Pediatric Dermatology, 2023
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
None known
Half-life
1.3 to 2.3 hours
Mechanism
Alopecia areata is an autoimmune disorder that causes hair loss mainly in the sc…
Food interactions
1 warning
Human targets
6 targets
Data: DrugBank · CC BY-NC 4.0
Pharmacokinetics at a glance
Absorption
200 mg
Half-life
1.3 to 2.3 hours
[L47092]
Protein binding
14%
[L47092]
Volume of distribution
1.3 L/kg
[A260127]
Metabolism
25%
Elimination
66%
Clearance
5.6 mL/min/kg
[A260127]
Pharmacokinetic data: DrugBank · CC BY-NC 4.0
Ritlecitinib binds covalently to Cys-909 of JAK3, a site where other JAK isoforms have a serine residue. This makes ritlecitinib a highly selective and irreversible JAK3 inhibitor.[A260122][A260127] Other kinases have a cysteine at a position equivalent to Cys-909 in JAK3, and several of them belong to the TEC kinase family. It has been suggested that the dual activity of ritlecitinib toward JAK3 and the TEC kinase family block cytokine signaling as well as the cytolytic activity of T cells, both implicated in the pathogenesis of alopecia areata.[A260122]
[L47092][L48176]
Known interactions with other medicines. Always consult a healthcare professional.
Showing 50 of 1177 interactions
There is no specific antidote for overdose with ritlecitinib. In patients experiencing a ritlecitinib overdose, provide symptomatic and supportive treatment, and monitor for signs and symptoms of adverse reactions.
[L47092]
In rats given 100 mg/kg/day of ritlecitinib (29 times the maximum recommended human dose based on AUC comparison), females had an increased incidence of combined benign and malignant thymomas, while males had a higher incidence of thyroid follicular adenomas and combined follicular adenomas and carcinomas. Ritlecitinib was negative in the bacterial reverse mutation assay and positive in an in vitro micronucleus assay in TK6 cells; however, mechanistic studies suggest that ritlecitinib is aneugenic and does not present a clinically relevant genotoxic concern.
[L47092]
Ritlecitinib inhibits Janus kinase 3 (JAK3) and the tyrosine kinase expressed in hepatocellular carcinoma (TEC) kinase family in an irreversible manner by blocking the adenosine triphosphate (ATP) binding site. In vitro, ritlecitinib inhibits cytokine-induced STAT phosphorylation mediated by JAK3-dependent receptors and the signaling of immune receptors dependent on TEC kinase family members.[L47092] Although it is possible that JAK inhibitors, such as ritlecitinib, inhibit the inflammatory pathways activated in alopecia areata, the precise mechanism of action has not been fully elucidated.[A260147][L47092]
At 12 times the mean maximum exposure of the 50 mg dose given to patients with alopecia areata once a day, ritlecitinib did not cause a clinically relevant effect on the QTc interval.[] The use of ritlecitinib is associated with the development of serious infections, malignancies (including non-melanoma skin cancer), major adverse cardiovascular events, thromboembolic events, and hypersensitivity. In the postmarketing safety study of another JAK inhibitor in patients with rheumatoid arthritis over 50 years of age with at least one cardiovascular risk factor, JAK inhibitors were associated with a higher rate of all-cause mortality, including sudden cardiovascular death, compared to TNF blockers.[L47092]
How the body processes this drug — absorption, distribution, metabolism, and elimination
The co-administration of a high-fat meal and a 100 mg ritlecitinib capsule reduced Cmax by 32% and increased AUCinf by 11%. Ritlecitinib was administered without regard to meals during clinical trials.
[L47092]
[L47092]
[L47092]
[A260127]
[L47092]
[L47092]
[A260127]
Proteins and enzymes this drug interacts with in the body
Following ligand binding to cell surface receptors, phosphorylates specific tyrosine residues on the cytoplasmic tails of the receptor, creating docking sites for STATs proteins. Subsequently, phosphorylates the STATs proteins once they are recruited to the receptor. Phosphorylated STATs then form homodimer or heterodimers and translocate to the nucleus to activate gene transcription.
For example, upon IL2R activation by IL2, JAK1 and JAK3 molecules bind to IL2R beta (IL2RB) and gamma chain (IL2RG) subunits inducing the tyrosine phosphorylation of both receptor subunits on their cytoplasmic domain. Then, STAT5A and STAT5B are recruited, phosphorylated and activated by JAK1 and JAK3. Once activated, dimerized STAT5 translocates to the nucleus and promotes the transcription of specific target genes in a cytokine-specific fashion
Required for TCR-dependent IL2 gene induction. Phosphorylates DOK1, one CD28-specific substrate, and contributes to CD28-signaling. Mediates signals that negatively regulate IL2RA expression induced by TCR cross-linking.
Plays a redundant role to BTK in BCR-signaling for B-cell development and activation, especially by phosphorylating STAP1, a BCR-signaling protein. Required in mast cells for efficient cytokine production. Involved in both growth and differentiation mechanisms of myeloid cells through activation by the granulocyte colony-stimulating factor CSF3, a critical cytokine to promoting the growth, differentiation, and functional activation of myeloid cells.
Participates in platelet signaling downstream of integrin activation. Cooperates with JAK2 through reciprocal phosphorylation to mediate cytokine-driven activation of FOS transcription. GRB10, a negative modifier of the FOS activation pathway, is another substrate of TEC.
TEC is involved in G protein-coupled receptor- and integrin-mediated signalings in blood platelets. Plays a role in hepatocyte proliferation and liver regeneration and is involved in HGF-induced ERK signaling pathway. TEC also regulates FGF2 unconventional secretion (endoplasmic reticulum (ER)/Golgi-independent mechanism) under various physiological conditions through phosphorylation of FGF2 'Tyr-215'.
May also be involved in the regulation of osteoclast differentiation
Phosphorylation leads to ITK autophosphorylation and full activation. Once activated, phosphorylates PLCG1, leading to the activation of this lipase and subsequent cleavage of its substrates. In turn, the endoplasmic reticulum releases calcium in the cytoplasm and the nuclear activator of activated T-cells (NFAT) translocates into the nucleus to perform its transcriptional duty.
Phosphorylates 2 essential adapter proteins: the linker for activation of T-cells/LAT protein and LCP2. Then, a large number of signaling molecules such as VAV1 are recruited and ultimately lead to lymphokine production, T-cell proliferation and differentiation .
PMID:12186560 PMID:12682224 PMID:21725281
Required for TCR-mediated calcium response in gamma-delta T-cells, may also be involved in the modulation of the transcriptomic signature in the Vgamma2-positive subset of immature gamma-delta T-cells (By similarity). Phosphorylates TBX21 at 'Tyr-530' and mediates its interaction with GATA3 (By similarity)
Phosphorylation leads to TXK full activation. Also contributes to signaling from many receptors and participates in multiple downstream pathways, including regulation of the actin cytoskeleton. Like ITK, can phosphorylate PLCG1, leading to its localization in lipid rafts and activation, followed by subsequent cleavage of its substrates.
In turn, the endoplasmic reticulum releases calcium in the cytoplasm and the nuclear activator of activated T-cells (NFAT) translocates into the nucleus to perform its transcriptional duty. Plays a role in the positive regulation of IFNG transcription in T-helper 1 cells as part of an IFNG promoter-binding complex with PARP1 and EEF1A1 .
PMID:11859127 PMID:17177976
Within the complex, phosphorylates both PARP1 and EEF1A1 .
PMID:17177976
Also phosphorylates key sites in LCP2 leading to the up-regulation of Th1 preferred cytokine IL-2. Phosphorylates 'Tyr-201' of CTLA4 which leads to the association of PI-3 kinase with the CTLA4 receptor
PMID:19290921
Binding of antigen to the B-cell antigen receptor (BCR) triggers signaling that ultimately leads to B-cell activation .
PMID:19290921
After BCR engagement and activation at the plasma membrane, phosphorylates PLCG2 at several sites, igniting the downstream signaling pathway through calcium mobilization, followed by activation of the protein kinase C (PKC) family members .
PMID:11606584
PLCG2 phosphorylation is performed in close cooperation with the adapter protein B-cell linker protein BLNK .
PMID:11606584
BTK acts as a platform to bring together a diverse array of signaling proteins and is implicated in cytokine receptor signaling pathways .
PMID:16517732 PMID:17932028
Plays an important role in the function of immune cells of innate as well as adaptive immunity, as a component of the Toll-like receptors (TLR) pathway .
PMID:16517732
The TLR pathway acts as a primary surveillance system for the detection of pathogens and are crucial to the activation of host defense .
PMID:16517732
Especially, is a critical molecule in regulating TLR9 activation in splenic B-cells .
PMID:16517732 PMID:17932028
Within the TLR pathway, induces tyrosine phosphorylation of TIRAP which leads to TIRAP degradation .
PMID:16415872
BTK also plays a critical role in transcription regulation .
PMID:19290921
Induces the activity of NF-kappa-B, which is involved in regulating the expression of hundreds of genes .
PMID:19290921
BTK is involved on the signaling pathway linking TLR8 and TLR9 to NF-kappa-B .
PMID:19290921
Acts as an activator of NLRP3 inflammasome assembly by mediating phosphorylation of NLRP3 .
PMID:34554188
Transiently phosphorylates transcription factor GTF2I on tyrosine residues in response to BCR .
PMID:9012831
GTF2I then translocates to the nucleus to bind regulatory enhancer elements to modulate gene expression .
PMID:9012831
ARID3A and NFAT are other transcriptional target of BTK .
PMID:16738337
BTK is required for the formation of functional ARID3A DNA-binding complexes .
PMID:16738337
There is however no evidence that BTK itself binds directly to DNA .
PMID:16738337
BTK has a dual role in the regulation of apoptosis .
PMID:9751072
Plays a role in STING1-mediated induction of type I interferon (IFN) response by phosphorylating DDX41 PMID:25704810
Enzymes involved in drug metabolism — important for understanding drug interactions
ATC L04AF08
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)
Ritlecitinib
Additional database identifiers
Drugs Product Database (DPD)
23902
ChemSpider
59718512
BindingDB
209866
ZINC
ZINC000526061581
HUGO Gene Nomenclature Committee (HGNC)
HGNC:6193
GenAtlas
JAK3
GeneCards
JAK3
GenBank Gene Database
U57096
Guide to Pharmacology
2049
UniProt Accession
JAK3_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:11719
GeneCards
TEC
Guide to Pharmacology
2238
UniProt Accession
TEC_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:6171
GenAtlas
ITK
GeneCards
ITK
GenBank Gene Database
D13720
GenBank Protein Database
399658
Guide to Pharmacology
2046
UniProt Accession
ITK_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:12434
GeneCards
TXK
Guide to Pharmacology
2268
UniProt Accession
TXK_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:1133
GenAtlas
BTK
GeneCards
BTK
GenBank Gene Database
X58957
GenBank Protein Database
312467
Guide to Pharmacology
1948
UniProt Accession
BTK_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:1079
GeneCards
BMX
Guide to Pharmacology
1942
UniProt Accession
BMX_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:2637
GenAtlas
CYP3A4
GeneCards
CYP3A4
GenBank Gene Database
M18907
Guide to Pharmacology
1337
UniProt Accession
CP3A4_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:2622
GenAtlas
CYP2C8
GeneCards
CYP2C8
GenBank Gene Database
M17397
Guide to Pharmacology
1325
UniProt Accession
CP2C8_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:2596
GenAtlas
CYP1A2
GeneCards
CYP1A2
GenBank Gene Database
Z00036
Guide to Pharmacology
1319
UniProt Accession
CP1A2_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:2623
GenAtlas
CYP2C9
GeneCards
CYP2C9
GenBank Gene Database
AY341248
Guide to Pharmacology
1326
UniProt Accession
CP2C9_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:4626
GenAtlas
GSTA1
GeneCards
GSTA1
GenBank Gene Database
M15872
GenBank Protein Database
306809
UniProt Accession
GSTA1_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:4628
GenAtlas
GSTA3
GeneCards
GSTA3
GenBank Gene Database
L13275
GenBank Protein Database
951352
UniProt Accession
GSTA3_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:4632
GenAtlas
GSTM1
GeneCards
GSTM1
GenBank Gene Database
X08020
GenBank Protein Database
31924
UniProt Accession
GSTM1_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:4635
GenAtlas
GSTM3
GeneCards
GSTM3
GenBank Gene Database
J05459
GenBank Protein Database
306820
UniProt Accession
GSTM3_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:4637
GenAtlas
GSTM5
GeneCards
GSTM5
GenBank Gene Database
L02321
GenBank Protein Database
468260
UniProt Accession
GSTM5_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:4638
GenAtlas
GSTP1
GeneCards
GSTP1
GenBank Gene Database
M24485
GenBank Protein Database
31946
UniProt Accession
GSTP1_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:4642
GeneCards
GSTT2
UniProt Accession
GST2_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:4643
GenAtlas
GSTZ1
GeneCards
GSTZ1
GenBank Gene Database
AJ001838
GenBank Protein Database
2832731
UniProt Accession
MAAI_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:7061
GenAtlas
MGST1
GeneCards
MGST1
GenBank Gene Database
J03746
GenBank Protein Database
306808
UniProt Accession
MGST1_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:7063
GenAtlas
MGST2
GeneCards
MGST2
GenBank Gene Database
U77604
GenBank Protein Database
1747521
UniProt Accession
MGST2_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:7064
GenAtlas
MGST3
GeneCards
MGST3
GenBank Gene Database
AF026977
GenBank Protein Database
2583081
UniProt Accession
MGST3_HUMAN
DrugBank citations
If you use DrugBank data in your research, please cite:
- DrugBank 6.02024Recommended citationKnox C., Wilson M., Klinger C.M., et alDrugBank 6.0: the DrugBank Knowledgebase for 2024Nucleic Acids Res. 2024 Jan 552(D1):D1265-D1275
- DrugBank 5.02018Wishart D.S., Feunang Y.D., Guo A.C., et alDrugBank 5.0: a major update to the DrugBank database for 2018Nucleic Acids Res. 2017 Nov 846(D1):D1074-D1082
- DrugBank 4.02014Law V., Knox C., Djoumbou Y., et alDrugBank 4.0: shedding new light on drug metabolismNucleic Acids Res. 2014 Jan 142(1):D1091-7
- DrugBank 3.02011Knox C., Law V., Jewison T., et alDrugBank 3.0: a comprehensive resource for 'omics' research on drugsNucleic Acids Res. 2011 Jan39(Database issue):D1035-41
- DrugBank 2.02008Wishart D.S., Knox C., Guo A.C., et alDrugBank: a knowledgebase for drugs, drug actions and drug targets.Nucleic Acids Research2008 Jan36(Database issue):D901-6
- DrugBank 1.02006Wishart D.S., Knox C., Guo A.C., et alDrugBank: a comprehensive resource for in silico drug discovery and exploration.Nucleic Acids Research2006 Jan 134(Database issue):D668-72