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Drug Discovery

Research & Development

AI-powered target identification, compound design, and ADMET prediction

Overview

Accelerate your drug discovery pipeline with AI-driven target identification, virtual screening, compound design, ADMET prediction, and drug repurposing analysis. Our platform integrates with OpenAlex, ChEMBL, and PubChem to provide comprehensive molecular intelligence.

Key Features

Target identification & validation using AI analysis of 250M+ research papers

Compound design with molecular fingerprinting and similarity search

ADMET prediction with machine learning models

Drug repurposing analysis across approved compounds

Mechanism of action analysis and pathway mapping

Virtual screening with docking score predictions

Discovery project portfolio management

Benefits

+Reduce drug discovery timeline by 40-60%
+Identify novel targets from 250M+ scientific publications
+Predict ADMET properties before synthesis
+Discover repurposing opportunities in approved drug space

Use Cases

Identify novel targets for oncology programs

Screen compound libraries against specific targets

Evaluate drug repurposing potential for rare diseases

Assess ADMET profiles before preclinical studies

Data Sources

OpenAlex (250M+ papers)ChEMBLPubChemClinicalTrials.govFDA OpenData

Request a Demo

See Drug Discovery in action with a personalized walkthrough.

Get a personalized demo of our Drug Discovery tool. Our team will walk you through the features and answer your questions.

30-minute personalized walkthrough
Custom use case discussion
Pricing & deployment options

Or contact our team directly →