Metabolite Analysis

Importance of Metabolite Analysis in Preclinical Research

Metabolites play a crucial role in preclinical research, offering valuable insights into the metabolic changes associated with various diseases, drug responses, and therapeutic interventions. Metabolite analysis provides a comprehensive understanding of the biochemical alterations occurring in biological systems, shedding light on disease mechanisms, identifying potential biomarkers, and aiding in the evaluation of drug efficacy and toxicity. By studying metabolites in preclinical research, researchers can unravel disease-specific metabolic pathways, assess the impact of drug candidates on these pathways, and identify key metabolic targets for intervention. Metabolomics data also offers a holistic view of the overall physiological state, allowing researchers to assess the systemic effects of interventions and understand the intricate interplay between different metabolic pathways. Moreover, metabolite analysis in preclinical research provides a valuable bridge between in vitro cell-based assays and in vivo animal models, enabling a more comprehensive assessment of drug effects before advancing to clinical trials. Overall, the analysis of metabolites in preclinical research enhances our understanding of diseases, facilitates the discovery of novel therapeutic targets, and guides the development of effective and safe drug candidates.

Our Process of Metabolite Analysis

At Avicentrix, we revolutionize preclinical research by analyzing metabolites from animal models and cell assays using cutting-edge techniques. Our process combines advanced metabolomics technologies, such as nuclear magnetic resonance (NMR) spectroscopy, with the power of artificial intelligence (AI) and cross-referencing against a comprehensive metabolite disease database. By leveraging AI algorithms, we accurately identify and quantify metabolites, providing rapid insights into metabolic changes. The cross-referencing against our extensive database unveils valuable associations between metabolites and diseases, leading to the discovery of potential biomarkers and therapeutic targets. Our integrated approach yields profound insights, enabling our clients to make informed decisions, accelerate drug discovery, and advance personalized medicine.

Combining NMR and Proprietary Artificial Intelligence for Streamlined Metabolite Identification

The combination of NMR spectroscopy and artificial intelligence (AI) brings immense value and advantages to the analysis of metabolites. NMR provides a comprehensive view of metabolite profiles, offering detailed structural information and quantitative data. By integrating AI algorithms, metabolite identification is accelerated, allowing for rapid and accurate characterization of complex metabolic patterns. AI also enables intelligent data processing, pattern recognition, and integration, facilitating the extraction of meaningful insights from large datasets. This powerful synergy between NMR and AI empowers researchers to uncover novel biomarkers, understand disease mechanisms, and accelerate drug discovery, ultimately advancing our understanding of metabolism and its implications in various fields, from personalized medicine to nutrition research.

Nuclear Magnetic Resonance (NMR) spectroscopy provides comprehensive, high-resolution, and non-destructive analysis of metabolites, offering valuable insights into complex metabolic profiles and facilitating advancements in drug discovery, personalized medicine, and disease diagnostics.

Artificial intelligence enhances NMR metabolite analysis by enabling rapid and accurate metabolite identification, pattern recognition, and data integration, empowering researchers to extract meaningful insights and accelerate discoveries in the field of metabolomics.

Proprietary Metabolite Database

The metabolite database we have curated, capturing metabolites from human serum, urine, and blood samples associated with prostate, colon, and lung cancer, holds immense value for cross-referencing preclinical metabolite results. This comprehensive database serves as a valuable resource, providing a wealth of knowledge on disease-specific metabolite signatures. By comparing and aligning preclinical metabolite data against this extensive database, researchers gain critical insights into metabolic alterations and potential biomarkers associated with prostate, colon, and lung cancers. This cross-referencing allows for a deeper understanding of the metabolic changes occurring in these diseases, guiding the development of targeted therapies and enhancing the translatability of preclinical findings to human conditions.

Tiered Service Models

Our Approach

Our cell platforms are applicable across multiple assay and model formats. This enables us to connect the readouts and create a drug profile.

How do we offer these platforms?

SCHEDULED (QUICK SCREEN) ASSAYS

Each month, our team selects a cell platform and will design an assay or system with fixed readouts. The intent is to provide our partners a cost-effective and efficient way to obtain preliminary or complimentary data. Register to receive our schedule updates.

BUILD-A-SYSTEM

Experience partners can design an assay or system using our cell platforms suitable to their needs. Just send us an inquiry with your protocol and our team will execute.

BUNDLED

We offer a discounted bundle for using our cell platforms across multiple formats. Contact us to learn more.

INQUIRE ABOUT OUR SERVICES

Please contact us to learn more.