Move from data exploration to actionable therapeutic insights in minutes. BioAIgents provides high-throughput in silico screening across hundreds of cancer cell lines, powered by state-of-the-art causal AI.

Modern drug discovery is bottlenecked by the sheer cost, time, and failure rate of wet-lab experiments. Understanding why a compound works—identifying the mechanism of action and the driving biomarkers—is just as critical as knowing if it works.
Without deep insights early in the pipeline, promising therapies fail in late-stage clinical trials, wasting years of research and billions in investment.
The BioAIgents Explainable AI (XAI) Drug Screen is a complete in silico testing pipeline. Simply input your novel compound's SMILES string, and our specialized agent orchestrates a complex pharmacogenomics pipeline.
We predict drug sensitivity (IC50) across a comprehensive cohort of 801 cancer cell lines—covering melanoma, lung, bladder, and other cancers—directly leveraging the GDSC2, COSMIC, and PubChem datasets.
Powerful capabilities designed to accelerate your drug discovery pipeline.
Filter and prioritize compounds before investing in expensive in vitro assays. Our tool instantly screens virtually any small molecule against diverse genetic backgrounds, acting as an intelligent first-pass filter to rank cell lines by predicted drug sensitivity.
Go beyond "black box" predictions. Our SHAP-powered causal-inference engine provides deep, feature-level genomic insights with local explanations (waterfall and force plots) and global context (dependence and beeswarm plots).
Chat with your data. Powered by advanced LLMs (Google Gemini 2.5 and OpenAI GPT-4o), our AI assistant interprets complex SHAP visualizations, explains the biological relevance of top driver genes, and writes publication-ready captions on the fly.
Streamline the path from analysis to publication. Automatically generate comprehensive, interactive Markdown reports that synthesize your screening metrics, top gene drivers, and AI-generated biological context.
Transform your drug discovery workflow with actionable insights.
Identify precisely which genes drive efficacy to refine patient inclusion criteria for clinical trials.
Correlate drug responses with specific gene expression patterns to hypothesize MoAs early in the development pipeline.
"Fail fast, fail cheap." Simulate efficacy to identify potential resistant populations before moving to preclinical animal models.
Empower biologists and domain experts to leverage complex Machine Learning pipelines through an intuitive conversational interface—no coding required.
From compound input to actionable insights in four simple steps.

Upload your data or input SMILES strings for screening
Our AI processes and analyzes genomic patterns
SHAP-powered biomarker discovery and insights
Publication-ready reports and recommendations
Join researchers worldwide who are accelerating their drug discovery with our explainable AI platform.