Crizotinib 250mg capsules
Requires a prescription from a doctor or prescriber
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3 branded products available
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View all licensed products for Crizotinib on the MHRA register
Xalkori 250mg capsules
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(13)
Crizotinib for treating ROS1-positive advanced non-small-cell lung cancer (TA1021)
Crizotinib for previously treated anaplastic lymphoma kinase-positive advanced non-small-cell lung cancer (TA422)
Crizotinib for untreated anaplastic lymphoma kinase-positive advanced non-small-cell lung cancer (TA406)
Brigatinib for treating ALK-positive advanced non-small-cell lung cancer after crizotinib (TA571)
Ceritinib for untreated ALK-positive non-small-cell lung cancer (TA500)
Alectinib for untreated ALK-positive advanced non-small-cell lung cancer (TA536)
Brigatinib for ALK-positive advanced non-small-cell lung cancer that has not been previously treated with an ALK inhibitor (TA670)
Entrectinib for treating ROS1-positive advanced non-small-cell lung cancer (TA643)
Lorlatinib for ALK-positive advanced non-small-cell lung cancer that has not been treated with an ALK inhibitor (TA1103)
Ceritinib for previously treated anaplastic lymphoma kinase positive non-small-cell lung cancer (TA395)
Lorlatinib for previously treated ALK-positive advanced non-small-cell lung cancer (TA628)
Alectinib for previously treated anaplastic lymphoma kinase-positive advanced non-small-cell lung cancer (terminated appraisal) (TA438)
Ramucirumab for previously treated locally advanced or metastatic non-small-cell lung cancer (TA403)
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: 8 · Randomised trials: 6 · 2012–2026
Showing the 50 most relevant studies, sorted by most relevant.
T. Hida, H. Nokihara, M. Kondo, et al.
Lancet, 2017
Dong-Wan Tiseo, M. Ahn, Myung-Ju Reckamp, et al.
Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2017
A. Shaw, T. Kim, L. Crinò, et al.
The Lancet. Oncology, 2017
S. Pal, C. Tangen, I. Thompson, et al.
Lancet (London, England), 2021
Huang Y, Chu Q, Wang J, et al.
2025
- Carcinoma, Non-Small-Cell Lung
- Lung Neoplasms
- Protein Kinase Inhibitors
PurposeTo assess the possible effect of anaplastic lymphoma kinase (ALK) tyrosine kinase inhibitors (TKIs) on the health-related quality of life (HRQoL) in patients with ALK-positive non-small cell lung cancer (NSCLC).MethodsA systematic search was performed in PubMed, Web of Science, Embase, and ClinicalTrials.gov to identify literature published between January 2010 and January 2025. Publications reported quantitative assessments of HRQoL in ALK-positive NSCLC patients treated with ALK-TKIs were included. Meta-analyses were performed using random effect models.ResultsA total of 805 records were identified, of which 21 were analyzed in the meta-analysis. Compared to crizotinib, next-generation ALK-TKIs showed statistically significant delayed time to deterioration (TTD) in global health status measured by the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire Core 30 (EORTC QLQ-C30) (hazard ratio [HR]: 0.80; 95% confidence interval [CI]: 0.67 to 0.96). Brigatinib and alectinib demonstrated superior TTD in fatigue symptom score of EORTC QLQ-C30 compared to crizotinib (HR: 0.71; 95% CI: 0.54 to 0.92). Regarding between-arm comparisons from baseline, brigatinib and lorlatinib outperformed crizotinib in global health status, physical and emotional functioning, and symptoms scores of nausea and vomiting, fatigue, constipation, and appetite loss using EORTC QLQ-C30.ConclusionsThis study is by far the most comprehensive systematic review and meta-analysis on HRQoL among ALK-positive NSCLC patients treated with ALK-TKIs. These findings extended prior literature by conducting a granular comparison of all available ALK-TKIs across multiple endpoints and highlighted the improved performance of next-generation ALK-TKIs in enhancing HRQoL for ALK-positive NSCLC patients.
Abstract licence: CC BY
Benjamin J. Solomon, Geoffrey Liu, E. Felip, et al.
Journal of Clinical Oncology, 2024
Zhao M, Li J, Jiang Y, et al.
2026
- Carcinoma, Non-Small-Cell Lung
- Lung Neoplasms
- Antineoplastic Combined Chemotherapy Protocols
OBJECTIVES: To identify optimal treatments and sequencing strategies that maximize efficacy, safety, and net health benefits (NHB, a comprehensive measure of safety and efficacy) for ALK-positive non-small-cell lung-cancer (NSCLC). METHODS: Related data from phase Ⅱ-Ш clinical trials targeting ALK-positive NSCLC was identified through a systematic search of PubMed, EMBASE, the Cochrane Library, and ClinicalTrials.gov. Progression-free survival (PFS) and overall survival (OS) estimates were derived from Kaplan-Meier curves using individual participant data. Life-year gained (LYG) was the main efficacy outcome. Safety was evaluated by all-cause grade 3 + adverse events. Survival outcomes across treatment sequences were projected using a clock-reset semi-Markov model. Quality-adjusted life year (QALY) was used as the metric for NHB to evaluate the comprehensive value of treatment effectiveness and safety. Sensitivity and scenario analyses were conducted to validate our findings. RESULTS: A total of 27 studies were included. Lorlatinib maximized LYG and NHB as both first-line and post-crizotinib second-line therapy. Alectinib led LYG and NHB after chemotherapy resistance, while brigatinib topped after alectinib resistance. Chemotherapy followed by alectinib or brigatinib, resulted in the highest LYG for first-line to second-line PFS, with the alectinib-brigatinib sequence delivering the highest NHB. For first-line to third-line PFS, the chemotherapy-alectinib-brigatinib sequence maximized survival, while alectinib-brigatinib-lorlatinib was optimal for NHB. Frontline second-generation ALK-TKI enhanced boost survival and NHB, using first-generation ALK-TKI before chemotherapy had little impact on survival but improved initial NHB. Safety profiles emphasized alectinib as the safest first-line option, with iruplinalkib being the most favorable option after crizotinib resistance. Uncertainty analysis indicated that the findings were robust. CONCLUSIONS: According to current analyses, lorlatinib is an optimal first-line therapy. Alectinib and brigatinib are effective subsequent treatments in cases of non-lorlatinib resistance. First-line ALK-TKIs optimize patient benefits, and carefully sequenced treatments offer substantial survival and NHB across all stages of therapy.
Abstract licence: CC BY-NC-ND
Gu Z, Chen Z, Lai Q, et al.
2026
BackgroundAnaplastic lymphoma kinase (ALK) fusion is an important therapeutic targets in non-small cell lung cancer (NSCLC). Different ALK variants may affect the efficacy of targeted therapies. This meta-analysis systematically assesses the impact of different ALK variants on the clinical outcomes of ALK TKI treatment.MethodsBy systematically searching PubMed, Embase, and Web of Science databases, we collected relevant studies published from January 1,1994 to September 30, 2025. The relationship between different ALK variations and treatment efficacy was evaluated by combining hazard ratio (HR) and 95% confidence interval (CI). The quality of studies was evaluated using tools such as the Newcastle-Ottawa Scale (NOS) and the Cochrane risk-of-bias tool.ResultsA total of 30 studies involving 2737 patients with ALK-positive NSCLC were included. Comparison between EML4-ALK variant 1 (V1) and variant 3 (V3) showed that V3 was associated with shorter progression-free survival (PFS) in patients receiving ALK TKI treatment (HR = 1.53, 95%CI:1.17-1.99, p=0.002). Subgroup analysis showed that the adverse effect of V3 was more pronounced in patients treated with crizotinib (HR = 1.40, 95%CI: 1.00-1.96, p=0.049), in the first line treatment setting (HR = 1.83, 95%CI: 1.34-2.50, pConclusionEML4-ALK v3 may be an important negative prognostic factor for the efficacy of targeted therapy in ALK positive NSCLC. Subgroup analysis indicated that the poor prognosis associated with v3 was particularly evident in patients treated with crizotinib, in the first line setting, and in those assessed by NGS. However, due to limited data on newer generation ALK TKIs and the presence of heterogeneity in some of the comparison groups, definitive conclusions cannot be drawn. Prospective studies with standardized molecular subtyping are still needed before considering clinical stratification based on ALK variant types.Systematic review registrationhttps://www.crd.york.ac.uk/PROSPERO/view/CRD420251229641, identifier CRD420251229641.
Abstract licence: CC BY
Brady HW, Gill J, Wang J
2026
Non-small cell lung cancer (NSCLC) remains a major contributor to cancer-related deaths globally. Advances in tumor molecular profiling have led to the identification of actionable oncogenic alterations, including rearrangements involving the anaplastic lymphoma kinase (ALK) gene, which occur in a distinct subset of NSCLC patients. Crizotinib, an early-generation ALK-targeted tyrosine kinase inhibitor, has been widely used in this population; however, its overall clinical benefit relative to conventional chemotherapy continues to warrant systematic evaluation. This study synthesized published clinical evidence to assess objective response rate (ORR), progression-free survival (PFS), and overall survival (OS) among patients with ALK-positive NSCLC treated with crizotinib. A meta-analysis incorporating 38 eligible studies retrieved from PubMed was conducted, with inclusion criteria based on comparable study design and outcome reporting. Statistical analyses were performed using Review Manager 5 (The Cochrane Collaboration, London, England, UK), and sensitivity analyses were undertaken following exclusion of studies deemed to have a high risk of bias. Survival outcomes were summarized using reported means and ranges across multiple follow-up intervals, and treatment effects were quantified using odds ratios (ORs) with corresponding p-values. Compared with chemotherapy, crizotinib treatment resulted in a markedly higher ORR (OR = 6.86; 95% CI, 4.39-10.73; p < 0.00001). Reported median PFS ranged from 6.8 to 19 months in the crizotinib cohorts, versus 2.4 to seven months among chemotherapy-treated patients. At six and 12 months, PFS rates for crizotinib-treated patients ranged from 53.13% to 85.32% and from 14.29% to 61.7%, respectively. Pooled analyses demonstrated significant improvements in both six-month and 12-month PFS relative to chemotherapy (OR = 2.84; 95% CI, 2.23-3.61; p < 0.00001 and OR = 4.33; 95% CI, 2.64-7.10; p < 0.00001, respectively). In contrast, although one- and two-year OS rates for crizotinib ranged from 27.5% to 97.1% and from 48.3% to 87.5%, no statistically significant differences in OS were observed when compared with chemotherapy at either time point (one-year OS: OR = 1.56; 95% CI, 0.81-2.99; p = 0.18; two-year OS: OR = 1.84; 95% CI, 0.95-3.58; p = 0.07). Overall, these findings indicate that while crizotinib confers substantial improvements in tumor response and disease control, its effect on long-term survival outcomes appears limited. Given the multifactorial determinants of OS, future investigations incorporating more granular patient stratification may be necessary to better delineate the role of crizotinib within the evolving treatment landscape for ALK-positive NSCLC.
Abstract licence: CC BY
Basmajian K, Stepanyan Z, Sarkissian S
2026
- Carcinoma, Non-Small-Cell Lung
- Lung Neoplasms
- Protein Kinase Inhibitors
Anaplastic lymphoma kinase (ALK) is a receptor tyrosine kinase expressed in a subset of patients with non-small cell lung cancer (NSCLC). Since the approval of crizotinib, which was the first ALK tyrosine kinase inhibitor (TKI), the treatment landscape has rapidly evolved with the development of multiple next-generation TKIs and investigational agents. A structured review of clinical trials registered on ClinicalTrials.gov was conducted to identify studies evaluating therapies in ALK-positive NSCLC, including phase I-IV trials in adult populations, regardless of recruitment status. Trials were screened for ALK-specific relevance and key outcomes including progression-free survival (PFS) and objective response rate (ORR) were extracted. Central nervous system (CNS) activity and resistance mutation profiles were collected from published literature when available. A meta-analysis of ORR was conducted on a subset of 41 trials comprising 66 evaluable cohorts with sufficient efficacy data. Studies evaluated first- through third-generation ALK TKIs, combination regimens, and experimental agents. Meta-analysis of 6,382 patients showed a pooled ORR of 58.5% [95% confidence interval=57.3-59.7], with higher response rates in treatment-naive versus pretreated cohorts (71.8% vs 48.4%). Weighted median PFS was 13.8 months in treatment-naive and 9.8 months in pretreated cohorts. CNS activity, summarized from published reports, indicated superior intracranial efficacy of later generation TKIs. ALK-targeted therapies have significantly improved outcomes in ALK-positive NSCLC. However, CNS progression, acquired resistance, and optimal treatment sequencing continue to limit outcomes. This review synthesizes current evidence to guide clinical practice and future investigations.
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
None known
Half-life
42 hours
Mechanism
Crizotinib is a tyrosine kinase receptor inhibitor that targets anaplastic lymph…
Food interactions
3 warnings
Human targets
4 targets
Data: DrugBank · CC BY-NC 4.0
Pharmacokinetics at a glance
Absorption
100 mg
Half-life
42 hours
[L42460]
Protein binding
91%
[L42460]
Volume of distribution
1772 L
[L42460]
Metabolism
[A7418]
…
Elimination
250 mg
Clearance
250 mg
Pharmacokinetic data: DrugBank · CC BY-NC 4.0
[L42460]
Crizotinib is also indicated for the treatment of relapsed or refractory, systemic anaplastic large cell lymphoma (ALCL) that is ALK-positive in pediatric patients 1 year of age and older and young adults. The safety and efficacy of crizotinib have not been established in older adults with relapsed or refractory, systemic ALK-positive ALCL.
[L42460]
Additionally, crizotinib is indicated for the treatment of adult and pediatric patients 1 year of age and older with unresectable, recurrent, or refractory inflammatory myofibroblastic tumor (IMT) that is ALK-positive.
[L42460]
Known interactions with other medicines. Always consult a healthcare professional.
Showing 50 of 1098 interactions
There is no antidote for crizotinib.
[L42485]
In vitro and in vivo studies have shown that crizotinib is genotoxic, and the Ames test showed that crizotinib was not mutagenic. Carcinogenicity studies with crizotinib have not been performed.
[L42460]
In female rats, 500 mg/kg/day (approximately 10 times the recommended human dose based on body surface area) of crizotinib for 3 days induced single-cell necrosis of ovarian follicles. In male rats, 50 mg/kg/day of crizotinib (greater than 1.7 times the recommended human dose) for 28 days induced testicular pachytene spermatocyte degeneration.
[L42460]
In vitro assays on tumor cell lines demonstrated that crizotinib inhibits ALK, ROS1, and c-Met phosphorylation in a concentration-dependent manner. In vivo studies in mice with tumor xenografts that expressed EML4- or nucleophosmin (NPM)-ALK fusion proteins or c-Met showed that crizotinib has antitumor activity.[L42460]
The use of crizotinib may lead to hepatotoxicity, interstitial lung disease (ILD), pneumonitis, QT interval prolongation, bradycardia, severe visual loss, embryo-fetal toxicity and gastrointestinal toxicity in pediatric and young adult patients with anaplastic large cell lymphoma (ALCL) or pediatric patients with inflammatory myofibroblastic tumor (IMT).[L42460]
How the body processes this drug — absorption, distribution, metabolism, and elimination
[A7419]
A single crizotinib dose of crizotinib is absorbed with a median tmax 4 to 6 hours.
[L42460]
In patients receiving multiple doses of crizotinib 250 mg twice daily (n=167), the mean AUC was is 2321.00 ng⋅hr/mL, the mean Cmax was 99.60 ng/mL, and the median tmax was 5.0 hours.
[A7418]
The mean absolute bioavailability of crizotinib is 43%, ranging from 32% to 66%. High-fat meals reduce the AUC0-INF and Cmax of crizotinib by approximately 14%.
[L42460]
Age, sex at birth, and ethnicity (Asian vs non-Asian patients) did not have a clinically significant effect on crizotinib pharmacokinetics. In patients less than 18 years old, higher body weight was associated with a lower crizotinib exposure.
[L42460]
[L42460]
[L42460]
[L42460]
[A7418]
Non-metabolic elimination, such as biliary excretion, can not be excluded.
[L42465]
PF-06260182 (with two constituent diastereomers, PF-06270079 and PF-06270080) is the only active metabolite of crizotinib that has been identified. In vitro studies suggest that, compared to crizotinib, PF-06270079 and PF-06270080 are approximately 3- to 8-fold less potent against anaplastic lymphoma kinase (ALK) and 2.5- to 4-fold less potent against Hepatocyte Growth Factor Receptor (HGFR, c-Met).
[L42465]
[L42460]
[L42465]
Proteins and enzymes this drug interacts with in the body
PMID:11121404 PMID:11387242 PMID:16317043 PMID:17274988 PMID:30061385 PMID:34646012 PMID:34819673
Also acts as a key thinness protein involved in the resistance to weight gain: in hypothalamic neurons, controls energy expenditure acting as a negative regulator of white adipose tissue lipolysis and sympathetic tone to fine-tune energy homeostasis (By similarity). Following activation by ALKAL2 ligand at the cell surface, transduces an extracellular signal into an intracellular response .
PMID:30061385 PMID:33411331 PMID:34646012 PMID:34819673
In contrast, ALKAL1 is not a potent physiological ligand for ALK .
PMID:34646012
Ligand-binding to the extracellular domain induces tyrosine kinase activation, leading to activation of the mitogen-activated protein kinase (MAPK) pathway .
PMID:34819673
Phosphorylates almost exclusively at the first tyrosine of the Y-x-x-x-Y-Y motif .
PMID:15226403 PMID:16878150
Induces tyrosine phosphorylation of CBL, FRS2, IRS1 and SHC1, as well as of the MAP kinases MAPK1/ERK2 and MAPK3/ERK1 .
PMID:15226403 PMID:16878150
ALK activation may also be regulated by pleiotrophin (PTN) and midkine (MDK) .
PMID:11278720 PMID:11809760 PMID:12107166 PMID:12122009
PTN-binding induces MAPK pathway activation, which is important for the anti-apoptotic signaling of PTN and regulation of cell proliferation .
PMID:11278720 PMID:11809760 PMID:12107166
MDK-binding induces phosphorylation of the ALK target insulin receptor substrate (IRS1), activates mitogen-activated protein kinases (MAPKs) and PI3-kinase, resulting also in cell proliferation induction .
PMID:12122009
Drives NF-kappa-B activation, probably through IRS1 and the activation of the AKT serine/threonine kinase .
PMID:15226403 PMID:16878150
Recruitment of IRS1 to activated ALK and the activation of NF-kappa-B are essential for the autocrine growth and survival signaling of MDK PMID:15226403 PMID:16878150
Following activation by ligand, interacts with the PI3-kinase subunit PIK3R1, PLCG1, SRC, GRB2, STAT3 or the adapter GAB1. Recruitment of these downstream effectors by MET leads to the activation of several signaling cascades including the RAS-ERK, PI3 kinase-AKT, or PLCgamma-PKC. The RAS-ERK activation is associated with the morphogenetic effects while PI3K/AKT coordinates prosurvival effects.
During embryonic development, MET signaling plays a role in gastrulation, development and migration of neuronal precursors, angiogenesis and kidney formation. During skeletal muscle development, it is crucial for the migration of muscle progenitor cells and for the proliferation of secondary myoblasts (By similarity). In adults, participates in wound healing as well as organ regeneration and tissue remodeling.
Also promotes differentiation and proliferation of hematopoietic cells. May regulate cortical bone osteogenesis (By similarity)
May activate several downstream signaling pathways related to cell differentiation, proliferation, growth and survival including the PI3 kinase-mTOR signaling pathway. Mediates the phosphorylation of PTPN11, an activator of this pathway. May also phosphorylate and activate the transcription factor STAT3 to control anchorage-independent cell growth.
Mediates the phosphorylation and the activation of VAV3, a guanine nucleotide exchange factor regulating cell morphology. May activate other downstream signaling proteins including AKT1, MAPK1, MAPK3, IRS1 and PLCG2
Following activation by ligand, interacts with the PI3-kinase subunit PIK3R1, PLCG1 or the adapter GAB1. Recruitment of these downstream effectors by RON leads to the activation of several signaling cascades including the RAS-ERK, PI3 kinase-AKT, or PLCgamma-PKC. RON signaling activates the wound healing response by promoting epithelial cell migration, proliferation as well as survival at the wound site.
Also plays a role in the innate immune response by regulating the migration and phagocytic activity of macrophages. Alternatively, RON can also promote signals such as cell migration and proliferation in response to growth factors other than MST1 ligand
Enzymes involved in drug metabolism — important for understanding drug interactions
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
Proteins that carry this drug through the body
PMID:19021548
Major calcium and magnesium transporter in plasma, binds approximately 45% of circulating calcium and magnesium in plasma (By similarity).
Potentially has more than two calcium-binding sites and might additionally bind calcium in a non-specific manner (By similarity). The shared binding site between zinc and calcium at residue Asp-273 suggests a crosstalk between zinc and calcium transport in the blood (By similarity). The rank order of affinity is zinc > calcium > magnesium (By similarity).
Binds to the bacterial siderophore enterobactin and inhibits enterobactin-mediated iron uptake of E.coli from ferric transferrin, and may thereby limit the utilization of iron and growth of enteric bacteria such as E.coli .
PMID:6234017
Does not prevent iron uptake by the bacterial siderophore aerobactin PMID:6234017
Appears to function in modulating the activity of the immune system during the acute-phase reaction
ATC L01ED01
Chemical identifiers
CAS, UNII, InChI Key and database cross-references
Show
Chemical identifiers
CAS, UNII, InChI Key and database cross-references
Linked compound data from DrugBank Open Data (CC BY-NC 4.0)
Crizotinib
Additional database identifiers
Drugs Product Database (DPD)
21291
ChemSpider
9801307
BindingDB
50306682
PDB
VGH
ZINC
ZINC000035902489
HUGO Gene Nomenclature Committee (HGNC)
HGNC:427
GenAtlas
ALK
GeneCards
ALK
GenBank Gene Database
U62540
GenBank Protein Database
2454168
Guide to Pharmacology
1839
UniProt Accession
ALK_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:7029
GenAtlas
MET
GeneCards
MET
GenBank Gene Database
J02958
GenBank Protein Database
307196
Guide to Pharmacology
1815
UniProt Accession
MET_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:10261
GeneCards
ROS1
Guide to Pharmacology
1840
UniProt Accession
ROS1_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:7381
GeneCards
MST1R
Guide to Pharmacology
1816
UniProt Accession
RON_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:2638
GenAtlas
CYP3A5
GeneCards
CYP3A5
GenBank Gene Database
J04813
GenBank Protein Database
181346
Guide to Pharmacology
1338
UniProt Accession
CP3A5_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:2615
GeneCards
CYP2B6
GenBank Gene Database
M29874
GenBank Protein Database
181296
Guide to Pharmacology
1324
UniProt Accession
CP2B6_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:17450
GeneCards
CYP3A43
GenBank Gene Database
AF319634
GenBank Protein Database
12642642
UniProt Accession
CP343_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:2638
GenAtlas
CYP3A5
GeneCards
CYP3A5
GenBank Gene Database
J04813
GenBank Protein Database
181346
Guide to Pharmacology
1338
UniProt Accession
CP3A5_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:2640
GeneCards
CYP3A7
GenBank Gene Database
D00408
GenBank Protein Database
220149
UniProt Accession
CP3A7_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:399
GenAtlas
ALB
GeneCards
ALB
GenBank Gene Database
V00494
GenBank Protein Database
28590
UniProt Accession
ALBU_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:8498
GenAtlas
ORM1
GeneCards
ORM1
GenBank Gene Database
X02544
GenBank Protein Database
757907
UniProt Accession
A1AG1_HUMAN
HUGO Gene Nomenclature Committee (HGNC)
HGNC:8499
GeneCards
ORM2
GenBank Gene Database
BC015964
GenBank Protein Database
16359000
UniProt Accession
A1AG2_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
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