Features
Rapid diagnostic assay design using AI (weeks vs 12+ months)
Point-of-care molecular diagnostics for emerging threats
AI-driven protein sequence analysis
Nucleic acid probe design using machine learning
Automated validation workflows for candidate assays
Biomarker discovery for novel pathogens
Integration with biosurveillance data streams
Customizable diagnostic panels for specific threat scenarios
Collaborative platform for bioengineering teams
Data-driven prioritization of biological threats
Computational bionanotechnology-based test design
Quantum mechanics (QM) with Jaguar
Free energy perturbation (FEP+) for binding affinity
Molecular dynamics (MD) with Desmond
Docking and virtual screening with Glide
AI-driven retrosynthesis planning (RetroSynth)
Predictive Toxicology SAR panel for early liability screening
AutoDesigner for ultra-large chemical space exploration
Generative AI for molecular materials design
Nanoreactor with reaction barrier predictions
Structure prediction and target enablement
Antibody design and peptide discovery
Enzyme engineering and bifunctional degrader design
Biologics modeling with BioLuminate
Collaborative LiveDesign platform
Python API for workflow automation