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  6. GOSTAR Large Molecules

GOSTAR Large Molecules

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Excelra|GOSTAR

last updated:Jan 16, 2026

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By using macromolecule data organized as a analyzable dataset, you can efficiently obtain the necessary information and focus on your research.

GOSTAR Large Molecules is a fully custom curation-type database focused on macromolecular drugs (peptides, oligonucleotides, antibodies). It aims to provide only the necessary data precisely according to the research theme and target molecules. ■Features 1. Macromolecule datasets constructed according to research themes 2. Manual curation by experts 3. Data structure designed for analysis and secondary use 4. Support for AI/machine learning applications 5. Flexible delivery formats (Excel, CSV, TSV)

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GOSTAR Large Molecules

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basic information

Target Molecule Modalities ■ Antibodies ・Monoclonal antibodies (mAb) ・Bispecific antibodies (BsAb) ・Antibody fragments (Fab) ■ Oligonucleotides ・Antisense oligonucleotides (ASO) ・siRNA / miRNA ・DNAzyme ・CpG oligodeoxynucleotides (CpG ODN) ■ Peptides ・Hormones ・Growth factors ・Cytokines ・Interferons ・Fusion proteins, etc. Data Acquisition and Evaluation Infrastructure ・Data collection based on literature and patent information ・Structured and annotated macromolecule data ・Custom dataset construction according to research themes

Price information

【Contract Model】 ◆Custom Curation Contract  Features  ・Extract only the necessary molecules, sequences, and activity data  ・Specify data content, granularity, and scope  ・Data is fully manually curated  Target  ・Antibodies  ・Peptides  ・Oligonucleotides  ・Specific modalities and specific targets ◆Delivery File Formats  ・XLS  ・CSV  ・TSV

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Applications/Examples of results

■Main Uses■ Biopharmaceutical development Antibody, peptide, and nucleic acid drug research Competitive and patent landscape analysis Sequence and target affinity analysis Data construction for AI/machine learning models

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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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[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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