Sinopia Biosciences, Inc.
Sinopia Biosciences is a data-driven drug discovery company focused on developing novel therapeutics through advanced computational platforms that integrate high-throughput omics data, AI/machine learning, and network biology. Their mission is to enable safer and more effective therapeutics by leveraging big data and innovative technologies to understand disease mechanisms and identify promising drug candidates.
Industries
Nr. of Employees
small (1-50)
Products
Integrated multi-omics and machine learning discovery platform
A discovery platform that integrates high-throughput multi-omics data generation, machine learning, network analysis, and phenotypic screening to identify disease signatures, targets, and candidate compounds.
Small-molecule clinical candidate (Parkinson's disease)
A proprietary small-molecule program identified through integrated multi-omics and computational analyses and advanced through IND-enabling preclinical studies toward clinical entry for Parkinson's disease indications.
Preclinical therapeutic candidates for oral mucositis
Therapeutic candidates and target hypotheses for oral mucositis derived from multi-omics analysis and preclinical in vivo data, advanced under government grant funding for further development.
Integrated multi-omics and machine learning discovery platform
A discovery platform that integrates high-throughput multi-omics data generation, machine learning, network analysis, and phenotypic screening to identify disease signatures, targets, and candidate compounds.
Small-molecule clinical candidate (Parkinson's disease)
A proprietary small-molecule program identified through integrated multi-omics and computational analyses and advanced through IND-enabling preclinical studies toward clinical entry for Parkinson's disease indications.
Preclinical therapeutic candidates for oral mucositis
Therapeutic candidates and target hypotheses for oral mucositis derived from multi-omics analysis and preclinical in vivo data, advanced under government grant funding for further development.
Services
Collaborative discovery partnerships using integrated multi-omics and ML
Partnered research engagements that apply integrated multi-omics experiments, machine learning, and network analysis to identify targets and prioritize compounds for therapeutic development.
Metabolomics-based high-throughput screening and data analysis
High-throughput metabolomics screening workflows integrated with mass spectrometry data generation and computational interpretation to assess compound and genetic perturbation effects.
Preclinical lead optimization and IND-enabling support
Non-clinical candidate selection and execution of IND-enabling studies, including pharmacology and safety-directed preclinical work to prepare candidates for clinical entry.
Biomarker discovery and analytical validation for transfusion products
Discovery and multi-site validation of metabolite biomarker panels relevant to red blood cell and platelet storage quality and related translational studies.
Collaborative discovery partnerships using integrated multi-omics and ML
Partnered research engagements that apply integrated multi-omics experiments, machine learning, and network analysis to identify targets and prioritize compounds for therapeutic development.
Metabolomics-based high-throughput screening and data analysis
High-throughput metabolomics screening workflows integrated with mass spectrometry data generation and computational interpretation to assess compound and genetic perturbation effects.
Preclinical lead optimization and IND-enabling support
Non-clinical candidate selection and execution of IND-enabling studies, including pharmacology and safety-directed preclinical work to prepare candidates for clinical entry.
Biomarker discovery and analytical validation for transfusion products
Discovery and multi-site validation of metabolite biomarker panels relevant to red blood cell and platelet storage quality and related translational studies.
Expertise Areas
- Data-driven drug discovery
- Metabolomics and mass spectrometry-based discovery
- Machine learning and AI for biomedical data
- Systems biology and network analysis
Key Technologies
- Metabolomics (mass spectrometry)
- High-throughput screening (HTS)
- Machine learning / artificial intelligence
- Network biology / systems biology