Uncover
better findings

With the latest drug data at your fingertips

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Drug data is rapidly increasing

In size, complexity, and inaccuracy. This is slowing down vital research and leaving us to rely on outdated practices.

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2M+

Scientific journals
published each year

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7%

Of systematic reviews
are inaccurate within
24hrs of publication

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23%

Of reviews not
updated in 2 yrs have
incorrect conclusions

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All the data you need in one, simple spot

We’ve built the most comprehensive, up-to-date, & accurate drug database on the market.

Combining the advantages of AI and human expertise, we are able to source, validate, structure, and update our data every day so you don’t have to.

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DrugBank is the industry standard for pharmaceutical research

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26,500+

Citations in scientific publications

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+1.5 Billion

Spent on research utilizing DrugBank

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13 of 20

Top pharma companies are customers

Discover more with our datasets

No matter your research needs, methods, or area of focus, our datasets get you to ‘ah-ha’ — faster.

Machine learning for

Drug Discovery

Our data supports everything from building algorithms for predicting targets and adverse effects to assessing efficacy.

Check out our most requested datasets:

Adverse Effects
Use known side effects of existing drugs to build and validate your predictive models.
Drug Categories
Categorize and organize metadata groups of drugs by chem structure, mechanism of action, and taxonomy.
Indications
Use on- and off-label indications to group drugs together for grouping techniques in ML.
Metabolism
Understand metabolic reactions and pathways to build out and enhance predictive models.
Protein Relationships
Information about bonding to enzyme and protein reactions helps with building and establishing your ML.
Targets
Use target information to build and validate your predictive models.

Machine learning for

Pharmacogenomics

Our data supports algorithms that aid in understanding reports, such as highlighting risks for disease based on the lab analysis, lifestyle, and demographics.

Check out our most requested datasets:

Allergy
Using hypersensitivities and onset times, you can build ML for patients or clinicians to understand risks.
Contraindications
Build algorithms that flag potential contraindications and help clinicians understand risk levels for patients.
Drug-Drug Interactions
Can be used to build ML models that help with decision support and understanding the level of risk when prescribing.
Drug Products
Leverage up-to-date drug products for various prescribing algorithms.
Indications
Use on- and off-label indications to group drugs together for grouping techniques in ML.
Pharmacogenomics
SNP effects and actions are helpful for annotating genetic tests.

Machine learning for

Pharmacovigilance

Our ready-to-go machine readable data saves you time and speeds up the creation of predictive algorithms, increasing drug safety and reducing harm.

Check out our most requested datasets:

Adverse Effects
Critical for capturing and reporting possible adverse effects on new or existing drugs.
BlackBox Warnings
Understand Box Warnings for groups of drugs and the risk they can present to patients.
Clinical Trials
Capture and store possible adverse effects for patients taking drugs on clinical trials.
Contraindications
Capture potential contraindications and understand the level of risk for groups of patients.
Cross-Mapping
Map clinical DrugBank data to these codes and associate data from ICD-10, SNOMED, and MedDRA with specific drug information from DrugBank.
Drug-Drug Interactions
Capture known drug-drug or drug-food interactions and build predictive models for potential interactions and risks.

In Silico Testing

Build and validate new tools. Our data is relied on daily, for testing techniques that model pharmacokinetic, pharmacodynamic and toxicology predictions.

Check out our most requested datasets:

Chemical Structure
Use various formats of chemical structures (including SMILES) for your in silico experiments.
Drug Categories
Filter drugs by their chemical structure, taxonomy, and functional groups such as kingdom and class.
Metabolism
Utilize known drug reactions to build models that can predict metabolite reactions for new drugs.
Pharmacology
Leverage existing drug knowledge to forecast possible toxicity, half life, clearance and more for your prospective drugs.
Protein Relationships
Understand and better predict the sequencing of how a protein or enzyme will react.
Targets
Allows you to find or predict underlying causes of potential adverse effects, metabolism, therapeutic activity, and more.

Normalizing & Enhancing

Data Pools & Software

Maintaining and managing data across regions and codes is time consuming and meticulous. Our datasets streamline your work so you can focus on what’s important.

Check out our most requested datasets:

Adverse Effects
Use known adverse effects to better categorize, uncovering new indications, and understand level of risk.
Drug Categories
Help filter drugs by their chemical structure, taxonomy, and functional groups such as kingdom and class.
Indications
Utilize on-label and off-label indications to search, group, and categorize drugs.
Pharmacology
Enhance existing data with known toxicity, pharmacodynamic, pharmacokinetic properties, and predicted ADME.
Targets
Search or group by specific drug-bond and protein relationships.
Therapeutic Categories
Make your data more usable with accurate therapeutic categories based on the FDA’s Established Pharmacologic Class.

Business Intelligence

Find new opportunities by examining the most up-to-date drug data, patents, clinical trial information, and much more.

Check out our most requested datasets:

Clinical Trials
Search abandoned and upcoming drugs from phase one to post market.
Drug Categories
Filter drugs by their chemical structure, taxonomy, and functional groups such as kingdom and class.
Indications
Access approved and prospective on- and off-label indications that are also mapped to clinical trials.
Products by Region
See what new and existing drug products have come to market in various regions.
Targets
Identify existing drug target relations to predict unwanted effects and see areas of opportunity for new discoveries.
Therapeutic Categories
Evaluate and parse groups of drugs by therapeutic class.

Explore all of our datasets

From our proprietary drug categories to targets, we have the extensive data you need to power your research.

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Trusted by Industry Leading Companies

Chat with an expert about
our available datasets

Our products can be tailored to your company’s needs. Contact us today to find the right solution for you.