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  6. GOSTAR TPD | Protein Degradation Inducer Database

GOSTAR TPD | Protein Degradation Inducer Database

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Excelra|GOSTAR TPD

last updated:Jan 16, 2026

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Comprehensive search of over 51,000 TPD compounds' structures, activities, and target information! Strongly supports drug discovery research with QMS-certified data.

■One of the largest and most reliable databases in the industry GOSTAR TPD is a specialized database that encompasses detailed structural information, activity data, and target protein information for over 51,000 target decomposition inducing agents (TPD) compounds. This product is certified with QMS (Quality Management System) and provides the latest and most reliable data through regular monthly updates. Researchers can quickly identify TPD compounds that meet their objectives using a flexible search function that combines multiple conditions of structure, target, and activity. It significantly reduces the effort of manually searching through vast literature and complex data. GOSTAR TPD dramatically improves the quality and speed of drug discovery research, strongly supporting the discovery of new therapeutic drugs. It provides an environment where complex TPD-related data can be understood simply and deeply, allowing researchers to focus on the core tasks of drug discovery. 【Features】 ■One of the largest domestic databases specializing in TPD structure, activity, and target ■High-quality data updated monthly, compatible with AI drug discovery ■Intuitive search UI maximizes research efficiency *For more details, please refer to the PDF materials or feel free to contact us.*

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TPD

GOSTAR TPD | Protein Degradation Inducer Database

TPD 創薬支援.png
TPD 創薬支援.png
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basic information

Excelra's GOSTAR TPD is the world's largest and highest quality database on TPD, providing detailed, standardized, and expertly curated information on over 45,000 protein degradation inducers across all TPD modalities. This database is manually curated by skilled chemists and undergoes a rigorous three-stage quality control process. 【Data Coverage】 Explore relationships of chemical, biological, and therapeutic properties through over 250 annotated data items. Includes over 51,000 types of degradation inducers (Degraders). Covers more than 10 types of protein degradation modalities. Data collected from over 15,000 literature and resources. Contains over 199,000 SAR (Structure-Activity Relationship) data points.

Price information

【Contract Model】 ◆ Online Access With GOSTAR TPD's online service, you can search and analyze through a web browser. Depending on the contract, you can download search results, allowing for integration into your internal database or use as training data for AI/ML predictive models. There are user-based licenses and corporate licenses with unlimited users. ◆ File Delivery We provide all data or can narrow it down to specific categories. Data formats: Oracle, PostgreSQL, MySQL, text files, EXCEL, SDF, RDF, etc.

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■Main Uses - Building AI/Machine Learning Models - Drug Discovery Research - TPD Development - Competitor Research - Patentability Investigation

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GOSTAR TPD | Protein Degradation Inducer Database

GOSTAR TPD | Protein Degradation Inducer Database

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GOSTAR | One of the world's largest manual curation structure-activity relationship (SAR) databases by EXCELRA.

GOSTAR | One of the world's largest manual curation structure-activity relationship (SAR) databases by EXCELRA.

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Custom Curation Service

Custom Curation Service

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SARvision SM - PROTAC Analysis Module

SARvision SM - PROTAC Analysis Module

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Structured SAR data optimal for AI-driven drug discovery.

Structured SAR data optimal for AI-driven drug discovery.

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Active landscape analysis of compound databases.

Active landscape analysis of compound databases.

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GOSTAR White Paper: Comparative Analysis of Machine Learning

GOSTAR White Paper: Comparative Analysis of Machine Learning

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Excelra GOSTAR & Curation Services -Patcore | JUGM2022

Excelra GOSTAR & Curation Services -Patcore | JUGM2022

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Support for KRAS research based on GOSTAR data.

Support for KRAS research based on GOSTAR data.

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Bioinformatics services

Bioinformatics services

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A playbook for maximizing the power of bioinformatics.

A playbook for maximizing the power of bioinformatics.

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[Free Webinar] Manual Curation Techniques for Accelerating AI/ML Drug Discovery Using SAR and ADME Data | Held on June 11 (Thursday)

[Free Webinar] Manual Curation Techniques for Accelerating AI/ML Drug Discovery Using SAR and ADME Data | Held on June 11 (Thursday)

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In drug discovery research utilizing AI and machine learning, the biggest factor influencing the accuracy of predictive models is "data quality." Excelra and Patcore will co-host a free online webinar on the theme of GOSTAR(TM), which accelerates AI drug discovery, on June 11, 2026, at 13:30. Utilizing GOSTAR(TM), one of the world's largest manually curated SAR databases, the webinar will explain, with live demonstrations, the acceleration of predictive modeling using ML-ready data, improvements in molecular design accuracy in medicinal chemistry, and the establishment of a data foundation that supports go/no-go decisions from lead optimization. The speaker will be Dr. Nishanth Kandepedu from Excelra, who has over 10 years of experience in the drug discovery field. Researchers in drug discovery from pharmaceutical and biotech companies, AI/ML engineers, and R&D leaders are widely invited to participate. Participation is free, but prior registration is required. Registration will close once capacity is reached. ▼Details & Registration: https://patcore.com/news/webinar-gostar-2026

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Patocoa Inc. is a specialized company in drug discovery support systems. Additionally, we focus on improving and streamlining compliance-related operations concerning regulated substances, and we have provided various solutions to pharmaceutical companies, chemical companies, universities, and government agencies. We contribute to accelerating drug discovery and reducing costs with our cutting-edge chemoinformatics systems.

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