Enabling Research & Development to accelerate Drug Discovery

 

Current drug discovery efforts require significant time-consuming manual efforts to search literature, publications, and presentations to identify connections between genes, pathways, molecular targets, and drugs. Such efforts require searching through disparate databases and using search engines with poor understanding of the life sciences language, leading researchers to have an incomplete understanding of all the connections and interactions between biological entities. Innoplexus’s technology enables researchers to have all crawlable online published data at their fingertips and easily visualize connections between closely and distantly related entities. Innoplexus has created a self-learning life sciences ontology that understands life sciences phrases rather than lone words, which empowers users to search concepts and receive relevant entries.

Innoplexus’ AI–powered Solutions

Leverage Innoplexus’s life sciences data ocean, which encompasses 97% of all publicly available data, to discover novel therapies by identifying the connections and interactions between closely and distantly related genes, pathways, molecular targets, and drugs.

Ontosight-xplore

Predict and optimize toxicity properties of molecules by leveraging a machine learning approach to Quantitative Structure-Activity Relationship (QSAR).

Predict-Molecule-Toxicology

Leverage the power of artificial intelligence and Innoplexus’s life sciences data ocean, validate the biological activity of new molecular entities and determine druggability scores.

Biological-Activity

Use Innoplexus’ full capabilities, including identifying connections between biological entities, predicting toxicologies, validating the biological activity of new molecules, estimating clinical trial costs, and assessing the competitive landscape to determine drug assets most likely to demonstrate efficacy, safety, and commercial success.

Ontosight-xplore

Utilize Innoplexus’s patent and grant landscape capabilities to find opportunities for drug development and funding. Search for patents in specific therapeutic areas and countries to gain market and competitor insights. Access available grants to find relevant funding sources.

early-stage-drug-development

Identify new opportunities for assets languishing on-the-shelf or approved drugs by leveraging Innoplexus’s life sciences data ocean and ontologies to identify new indications. Additionally, gain insights into pathways that can be targeted with already developed mechanisms of action.

Drug-Repurposing

Leverage Innoplexus’ life sciences data ocean, which encompasses 97% of all publicly available data, to discover novel therapies by identifying the connections and interactions between closely and distantly related genes, pathways, molecular targets, and drugs.

Discover-Novel-Therapies

Access 97% of the world’s life sciences data through Innoplexus’ search engine, which is powered by a proprietary life sciences-specific ontology. The ontology empowers users to perform context-based rather than keyword searches, and generate insights faster.

Ontosight-Search-Engine

Access curated life sciences data that is crawled, normalized, cleaned, and structured. Liberate your data scientists to perform higher cognitive tasks such as analyzing data rather than cleaning and normalizing. Gain faster insights to make strategic decisions.

DaaS

Case Studies & Capabilities

Pipeline Prioritization

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Data as a Service

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Lead Identification

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Target Identification

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CONTINUOUSLY-UPDATING PIPELINE PRIORITIZATION PLATFORM

  • Biological Validation: Identifying and validating potential uses of target, pathway, disease and drug candidates
  • Clinical Trial Valuation: Estimating costs of clinical trials and likelihood of success
  • Commercial Evaluation: Monitoring competitors and determining commercial opportunity

Accelerate & validate lead identification for drug design

  • Identifying efficacious drug candidates with real-world evidence and chemical descriptors
  • Reducing the cost and time of the demanding lead identification process
  • Providing access to the largest chemical library for QSAR

Accelerating target identification for drug design

  • Identifying optimal targets based on efficacy, safety, clinical and commercial requirements
  • Narrowing target selection by using in-silico validation
  • Validating targets based on data of scientific literature

DaaS APIs TO POWER ENTERPRISE ARTIFICIAL INTELLIGENCE

  • Finding most recent literature from congresses, presentation, clinical trials etc. based on indication and top pathways & targets being studied
  • Identifying competing drugs and drugs’ details such as pathway, targets, sponsors etc.
  • Finding top investigators, ideal sites, and optimal design parameters for clinical trials

Experience more Aha! Moments



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