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End-to-End Virtual Screening for Pharma Researchers.

A Quick update: Our Multi-Unimodal Model Paper has been published on ISBI 2025.

Our Paper on our Multi-Unimodal Model architecture has been published in ISBI!
https://ieeexplore.ieee.org/document/10981182

Bioforager

End-to-End Virtual Screening for Researchers, Powered by Genesys

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Supporting Biotech Investment Analysts with industry insights

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Genesys | Quantum Aware Multi-modal Engine

Genesys is a multi-modal AI model that can predict binding affinity, model trajectories and inference bioactivity

Unified Processing

  • Seamless integration of multiple molecular representations
  • Real-time synchronization of structural and dynamic data
  • Advanced pattern recognition across binding modalities

Adaptive Learning

  • Training on unpaired, asynchronous molecular data
  • Continuous improvement from real-world screening results
  • Flexible adaptation to discovery workflows

Intelligent Scaling

  • More than 50% reduction in computational parameters
  • Superior accuracy with fewer training compounds
  • Seamless integration of new molecular descriptors
Learn About Genesys

Need Support Implementing Deep Learning?

Neuralgap supports custom deep learning builds for Pharma clients.

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Target Identification & Validation

  • AI-driven genomics data analysis
  • Natural language processing for literature mining

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Hit Discovery & Optimization

  • AI-powered virtual screening
  • Structure-based virtual screening using deep learning
  • Machine learning for ADMET prediction
  • Molecular dynamics simulations with GPU acceleration

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Lead Optimization & Candidate Selection

  • Quantitative structure-activity relationship (QSAR) modeling using AI
  • AI-driven toxicity prediction and safety assessment
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Our Articles

Follow our weekly article series to keep track of the latest advances in AI in bio and cheminformatics

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