Database Content Development

Database Content Development is the process of constructing the database design and choosing the right information for the various business requirements. Database Content Development includes extracting, formatting and tagging unstructured content in order to help create a detailed database that envelops the pharmaceutical industries’ value system – from research, clinical trials, repositories, regulatory documentation to details of manufacturers, suppliers, and distribution channels, along with creating an in-depth analysis on emerging trends, insights, news and more.

Molecular Connections’ Database Content Development provides tailored, big data solutions. It leverages artificial intelligence (AI) and machine learning (ML) to help organizations with data-driven decision-making. Our technology services manage the entire information cycle – from content discovery and development to content-based analytics and visualization.

Key Benefits of Database Content Development

Provides enriched and structured data

Leads to enhanced access, thus better leveraging of data

Helps with improved analytics and visualization tools which in turn provide better search and discovery

Leads to data-driven decision-making

Provides expert support

Helps develop rich analytics of trends with easy to read insights

Explore More Services

Gold Standard Datasets

Gold Standard Datasets

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Literature Curation Services

Literature Curation Services

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Ontology Development

Ontology Development

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Ontology Mapping

Ontology Mapping

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Entity Extraction/Data Labelling

Entity Extraction/Data Labelling

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Data Lake Consulting

Data Lake Consulting

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NetPro™

NetPro™ is a comprehensive bio-molecular interaction database, which comprises of protein-protein interactions and protein-small molecule interactions.

GeneNet™

Molecular Connections’ Gene-disease Networking (MC-GeneNetTM) platform employs a range of in silico methodologies using internally developed text mining engine

CliPro™

CliPro™ is a comprehensive, easy to access knowledgebase of proteins in various biological sources that reflects alterations between normal versus diseased conditions.

XTractor™

XTractor™ is a platform for discovery & analysis of published biomedical facts. The only knowledgebase which provides “manually” annotated facts from PubMed.ns.

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