BioXplor Discovery Software Suite
BioXplor's knowledge-base consists billion's of structured sentences from over 35M biomedical publications. These data are machine read using natural language processing and over 30 proprietary biomedical ontologies to uncover over 150M entity relationships between drugs, disease, genes, variants, pathways, biological processes, tissues, cell types, co-morbidities, adverse events, safety and toxicity terms. The entity relationship types include causation, interaction, gene expression, mechanism of action, and much more. BioXplor has structured content for 1000's of methods and applications, as well as instrumentation, research antibodies, recombinant proteins, ELISA assays, biochemicals, animal and cell models, and much more.
BioXplor has exposed part of it's biomedical knowledge platform to accelerate the discovery of actionable insights from the torrent of COVID-19 literature. The COVID-19 Discovery Engine is completely open-access and supported by COVID-19 response grants, programs & partnerships with EIT Health (European Innovation and Technology Institute), Creative Destruction Labs @ University of Oxford, and University of Manitoba /MITACS (Haigh Laboratory). The COVID-19 Discovery Engine is being further developed as part of a collaboration with a team of international experts on a Royal Society of Chemistry book (in draft) 'Translational Toxicology of Antiviral Agents -- The COVID-19 Pandemic and the Future'.
The engine is one of most comprehensive resources for ontology-based knowledge discovery & text mining in COVID-19. It combines structured content from over 100,000 COVID-19 related full-text scientific papers from the CORD-19 dataset including PubMed, WHO, Elsevier, PubMed Central, BioRxiv, MedRxiv, using 30+ proprietary biomedical ontology dictionaries to enable scientists to discover insights up to 25X faster than Google Scholar or Pubmed.
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COVID-19 Open Access Text Mining Engine
BioXplor has generated over 30 custom and proprietary biomedical, drug discovery ontology dictionaries to enable discovery of insights within literature up to 25x faster than Google Scholar adn Pubmed. This is the most comprehensive drug discovery ontology-based discovery platform on the market today. Our team uses natural language processing to structure all biomedical literature content, generating billions of sentences and over 150M entity relationships, for rapid insight discovery. Categories include safety and efficacy, animal models, co-morbities / indications, adverse events, PK/PD, drug and disease mechanisms, cell and tissue types, pathways and protein types, post-translational modifications, biological processes and molecular functions. Companies can integrate their private and paywalled data into the system.
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Drug Repositioning Software
BioXplor has structured over 4 billion sentences from more than 30 million biomedical papers, and generated over 30 proprietary biomedical dictionaries, generating over 100,000 custom protein and gene databases, using natural langugae processing. This translates to a disocvery engine for gene and protein information fro literature which is an order of magnitude beyond any available source of molecular biology content on the market today, enabling scientists to find novel insights up to 25x faster than Google Scholar or PubMed, and to rapidly interpret the findings from expensive sequencing projects to ensure novel discoveries are in fact uncovered. The system is updated weekly, and integrates private and paywalled content.
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Target Discovery Software
BioXplor has structured over 7 million open access full text biomedical papers, and 35 Million abstracts to unlock the latest primer designs, SNPs/mutations, biomarkers, protein pathways, and the optimal experimental conditions and materials required to rapidly and accurately design biomarker assays, at scale. BioXplor has employed multiple proprietary life science ontology dictionaries to enable the rapid discovery of insights from animal models, to tissue types, measurements methods, to reagents with the best supporting citations from literature to ensure your next assay is effectively designed and executed with the right tools. The system can incorporate private and paywalled data, and is accessible via a custom API or cloud-based software.
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In Vitro & In Vivo Models Software
BioXplor has developed a unique biomedical text mining platform for organisation to custom mine big text and image data, using our proprietary 30+ biomedical ontology dictionaries, or to upload your own ontologies or lists for custom text minnig. Our Tensorflow processor combines BioXplor's ontologies to label all biomedical text with semantic and grammatical context. Our system enables the generation of custom ontologies through text mining particular word stems, as well as to generation of knowledge graphs, multilingual translation of documents. The system comes pre-loaded with all biomedical literature and clinical trials documents, together with BioXplor's 30+ proprietary biomedical ontologies. Companies can then integrate their own documents for text mining analysis.
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Enterprise Text Mining Software
BioXplor's Database Engine combines text & images from biomedical literature, clinical trials and 100's of bioinformatics databases. The Database Engine incorporates private and paywalled data to allow an organization to privately and securely access it's content from different sources all in one place. Our AI image recognition system classifies the type of experiment of clinical image category, and searches text inside the image, while linking back to the source document for further information discovery. Our intelligent database engine employs over 30 proprietary biomedical and clinical dictionaries to enable rapid relationship extraction.
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