Skip to main content
search
Use Case

AI & ML Drug Discovery Database

GOSTAR® is uniquely suited for today’s AI/ML-based drug discovery programs with the extensive, curated datasets.

request a demo

AI Modeling with GOSTAR®

GOSTAR® is the driving force behind AI/ML innovations in drug discovery, offering an unparalleled structure-activity relationship (SAR) dataset. This rich repository is essential for enhancing predictive modeling, streamlining the research workflow, and guiding decision-making. With GOSTAR®, researchers have immediate access to a vast pool of data, facilitating a deeper understanding of compound interactions and accelerating the journey from conceptualization to identification of promising drug candidates.

Data-Driven Predictions

GOSTAR® sets a new standard in predictive modeling for AI/ML with a quality-assured dataset, certified by QMS-ISO. Over 33 million SAR data points illuminate complex structure-activity relationships, guiding the creation of effective and safer drugs. Such breadth of data, backed by stringent quality controls, provides a solid foundation for predictive insights and accelerates the discovery of potential drug candidates.

Data-Driven Predictions

GOSTAR® sets a new standard in predictive modeling for AI/ML with a quality-assured dataset, certified by QMS-ISO. Over 33 million SAR data points illuminate complex structure-activity relationships, guiding the creation of effective and safer drugs. Such breadth of data, backed by stringent quality controls, provides a solid foundation for predictive insights and accelerates the discovery of potential drug candidates.

Informed Decision-Making

With access to data on 77k+ biological targets and insights from 12k+ abstracts and conferences, GOSTAR® assists AI/ML companies in making informed decisions. This wealth of information supports the prioritization of experiments and the design of novel compounds, enhancing the efficiency and effectiveness of the drug discovery process.

Seamless Integration with GOSTAR® APIs

Integrate GOSTAR® seamlessly into your AI/ML infrastructure using our robust APIs, tapping into a vast array of SAR data. Efficiently access information from a pool of over 9.7 million chemical structures and 4 million+ patents screened, ensuring your research benefits from comprehensive, up-to-date data. This integration empowers automation and enables collaboration by providing a standardized interface for data sharing. With GOSTAR®, companies can efficiently integrate comprehensive data into their existing workflows, ensuring a competitive edge in AI/ML-based drug discovery.

Seamless Integration with GOSTAR® APIs

Integrate GOSTAR® seamlessly into your AI/ML infrastructure using our robust APIs, tapping into a vast array of SAR data. Efficiently access information from a pool of over 9.7 million chemical structures and 4 million+ patents screened, ensuring your research benefits from comprehensive, up-to-date data. This integration empowers automation and enables collaboration by providing a standardized interface for data sharing. With GOSTAR®, companies can efficiently integrate comprehensive data into their existing workflows, ensuring a competitive edge in AI/ML-based drug discovery.

Enhancing Discovery & Innovation

Optimize Your Chemotypes

Take a quantum leap forward on building your predictive models using GOSTAR®’s activity data on over 9,700,000 chemical structures. The scale of data which GOSTAR® provides will allow your artificial intelligence and machine learning algorithms to clearly identify patterns and extrapolate those findings into potential new areas of discovery.

Ensure Patentability

Never worry about whether your newly identified structures are actually novel. GOSTAR® has the deepest patent coverage of any structure-activity relationship database. GOSTAR® has the largest coverage in patents for SAR content and helps you in determining novelty of your scaffolds or compounds. With its vast coverage of exemplified compounds from patents, it aids you in patent busting.

Work Confidently

Our scientific experts curate, excerpt, enhance, and enrich every data point from many different types of sources into a relational data format. Content is subjected to a three-tiered, QMS-ISO certified quality control process, then standardized and normalized before being added to the user system. Our process is both rigorous and expedient, with new information being captured and added within just weeks of publication, ensuring you have an up-to-date view of the chemical space at all times.

GOSTAR® APIs: Catalyzing AI in Drug Discovery

GOSTAR® APIs power AI/ML advancements in pharmaceutical research by providing an unmatched dataset of structure-activity relationships (SAR). This valuable resource plays a crucial role in improving predictive models, simplifying research processes, and influencing decision-making. The provided APIs offer researchers instant access to an extensive database, enabling a more comprehensive grasp of how compounds interact. This accelerates the process from initial concept to the discovery of potential drug candidates.

Access to Comprehensive GOSTAR® Data

By leveraging GOSTAR® web APIs of SAR databases, AI/ML companies gain access to a vast pool of SAR data curated from various sources, enabling a broader analysis and exploration of structure-activity relationships.

Efficiency and Automation

Using GOSTAR® web APIs, AI/ML companies can programmatically retrieve SAR data, eliminating the need for manual data collection and saving time. Automation also allows for regularly updating the database with new data as it becomes available.

Informed Decision-making

The analysis and visualization of GOSTAR® data assist the company in making data-driven decisions during the drug discovery process. They can identify promising compounds, prioritize experiments, or design new compounds based on observed structure-activity relationships.

Collaboration and Integration

GOSTAR® Web APIs enable seamless integration of GOSTAR® data into the company’s existing data infrastructure and analytical workflows. It also facilitates collaboration with external partners by providing a standardized interface to share and exchange SAR data.

GOSTAR® APIs: Catalyzing AI in Drug Discovery

GOSTAR® APIs power AI/ML advancements in pharmaceutical research by providing an unmatched dataset of structure-activity relationships (SAR). This valuable resource plays a crucial role in improving predictive models, simplifying research processes, and influencing decision-making. The provided APIs offer researchers instant access to an extensive database, enabling a more comprehensive grasp of how compounds interact. This accelerates the process from initial concept to the discovery of potential drug candidates.

Access to Comprehensive GOSTAR® Data

By leveraging GOSTAR® web APIs of SAR databases, AI/ML companies gain access to a vast pool of SAR data curated from various sources, enabling a broader analysis and exploration of structure-activity relationships.

Efficiency and Automation

Using GOSTAR® web APIs, AI/ML companies can programmatically retrieve SAR data, eliminating the need for manual data collection and saving time. Automation also allows for regularly updating the database with new data as it becomes available.

Informed Decision-making

The analysis and visualization of GOSTAR® data assist the company in making data-driven decisions during the drug discovery process. They can identify promising compounds, prioritize experiments, or design new compounds based on observed structure-activity relationships.

Collaboration and Integration

GOSTAR® Web APIs enable seamless integration of GOSTAR® data into the company’s existing data infrastructure and analytical workflows. It also facilitates collaboration with external partners by providing a standardized interface to share and exchange SAR data.

What our customers say

GOSTAR® provides a range of different types of information – a range of different types of data – and that allows you to create a range of different types of predictions, and in drug discovery having many different predictive options is certainly helpful.

Stephen MacKinnon
VP of Research and Development, Cyclica

Knowledge Hub

Analyzer in GOSTAR®: Matched Molecular Pair Analysis

GOSTAR® is an integrated platform of various standalone databases with cross-indexing of chemical compounds of…

Read More

GOSTAR®: the largest online medicinal chemistry intelligence database

In medicinal chemistry, the relationship between molecular structure of a compound and its biological activity…

Read More

GOSTAR® Updates: The Latest Feature Enhancements

Modern-day medicinal and computational chemists thrive in a data-rich environment, constantly seeking to uncover untapped…

Read More

More use cases

Pharma & Biotech

GOSTAR® is pivotal for Pharma & Biotech, offering a SAR database that goes beyond chemistry to include activity, affinity, ADME, toxicology, physicochemical and other data relevant to drug design and discovery. The ontologies, format and interface are well designed to suit your needs.

Academia

Academic researchers and educators benefit from comprehensive SAR and pharmacology data in GOSTAR®, supporting them to advance in research, facilitating innovative studies, and enabling publication in top-tier journals.

Enhance your AI models with GOSTAR®’s data

Share your algorithm challenges, and let’s innovate the next breakthrough in drug discovery.

For evaluation & paid license requests:
gostardb@excelra.com

For product queries & support:
support.gostar@excelra.com

Privacy Policy | Terms & Conditions

"*" indicates required fields

Country*

Please fill the form


"*" indicates required fields

This will close in 0 seconds