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By using GOSTAR, which comes with a parseable dataset, you can obtain the latest organized SAR information and focus on your research.

Excelra's GOSTAR provides the world's largest SAR content as a centralized data source, allowing researchers to thoroughly explore the known chemical space surrounding their target of interest. This database is manually curated by our scientific team, which extracts and enriches datasets from functional assays, in vitro, and in vivo tests. Various low molecular weight activities, including SAR, physicochemical properties, metabolism, ADME, and toxicity profiles, are included in GOSTAR. GOSTAR is a large dataset representing the quantitative binding interactions of known compounds and targets obtained from in vitro and in vivo (enzyme and cell-based models) experiments. It offers high-quality data that is immediately analyzable, making it suitable as training data for AI/ML (machine learning) technologies. It enables the rapid construction of predictive models for specific target activities and ADMET properties, contributing to the acceleration of drug discovery.

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

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.

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

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

Organized and standardized low molecular SAR data, in a usable format. GOSTAR Small Molecules reduces research preparation time.

GOSTAR Small Molecules is a large-scale SAR database for small molecules that contains quantitative biological activity data on compounds and targets obtained from in vitro and in vivo experiments (enzyme and cell-based systems). It provides high-quality data that can be readily analyzed, making it suitable as training data for AI/ML (machine learning) technologies. It enables the rapid construction of predictive models for specific target activities and ADMET properties, contributing to the acceleration of drug discovery. ■ Data Contents Chemical and Biological Data - Chemical structure information - Structure-activity relationship (SAR) data - Biological activity data related to compounds and targets Physical Properties and Development-related Data - Physico-chemical properties - ADME data - Toxicity data

No need to provide the skeleton as a list in advance! It is automatically generated from the imported chemical structure.

【Other Features】 - Instantly create an R group table by organizing common structural parts and substituents. - Calculate physical property values and quickly graph them along with activity values (linked to structural information). - Output the R group table to EXCEL or WORD for efficient report creation (supports command line options and can integrate with other software). *For more details, please refer to the related links or feel free to contact us.

We provide a spreadsheet optimized for array analysis! It can handle biopolymers.

【Other Features】 ■ Exploration of mutations that significantly impact activity (Logo Plot, Invariant Map, Mutation Cliff) ■ Loading and alignment of sequence data (automatic and manual) ■ Implementation of a numbering algorithm based on ANARCI for automatic numbering of antibodies (compatible with Kabat, Chothia, Enhanced Chothia, IMGT, AHo) ■ Ability to examine hundreds of sequences *For more details, please refer to the PDF document or feel free to contact us.

Innovating patent research with highly comprehensive sequence searches.

■Coverage: Number of recorded sequences: Patent-derived sequences: 89,293,000, Literature-derived sequences: 4,890,000, Patents containing sequences: 1,980,000 reports, Literature containing sequences: 2,490,000 reports (as of May 2024) Applicable jurisdictions: 80 ■Sequence Search - Sequence search (bulk search of up to 200 sequences), antibody search, motif search, fragment search ■Degenerate Sequence Search - Enables the search of over 1 trillion sequences in our degenerate library, which includes many degenerate codes or variable residues that are not easily searchable using conventional search algorithms due to low similarity scores. Our unique search algorithm significantly reduces the risk of missing important sequences in searches. ■Search for Chemical Modifications - Supports two search modes: one for searching all sequences with the desired modification, and another for searching similar sequences with pre-set modifications. This facilitates the analysis of chemical modifications for drug design and process optimization. ■Format Conversion of Sequence Files - Conversion from EMBL to FASTA, GenBank to FASTA, removal of unnecessary characters (extracting only DNA and protein sequences), conversion between single-letter and three-letter notation, conversion to complementary sequences. Others.