AIDO Cell Simulator by GenBio

AIDO Cell Simulator by GenBio is an AI simulation generator tool. GenBio AI's AIDO Cell is a world-model simulator for cell biology that holds a persistent cell state, accepts multi-turn perturbations, and decodes coherent multimodal readouts. Prototype virtual cells cover K-562 and Hep-G2, with benchmark coverage across five task families and a reverse mode for phenotype-driven molecule design.

AIDO Cell is a general-purpose simulator for cell biology from GenBio AI. It models how a cell changes in response to experimental interventions (small molecules, genetic knockouts, knockdowns, overexpressions) and decodes those changes across many measurement types at once: chromatin accessibility, histone marks, transcription factor binding, expression, isoform usage, protein structure and interaction, localization, abundance, and morphology. The premise is that biology has lacked the kind of simulation framework that electrical or chemical engineering takes for granted, and that fragmented single-task predictors miss the interplay inside a living cell. AIDO Cell is built on a world model rather than a conventional predictor: it maintains a persistent cell state that can be perturbed midway, redirected, cloned for replicates, and read out on demand, wrapped in a harness that translates user commands into executable steps. The release focuses on two heavily characterized human cell lines, K-562 (leukemia) and Hep-G2 (liver cancer), chosen because decades of multi-omics data and literature make simulation accuracy checkable before expansion to other cells. On the Virtual Cell Benchmark 1.0, which aggregates public atlases into 31 metrics across five task families, AIDO Cell 1.0 is described as the only system spanning all five and reaches state of the art on 24 of 31 metrics, with specialized tools retaining narrow edges on some tasks. The system also runs in reverse: users specify a desired cellular phenotype and generate candidate molecules, then profile each design in cloned cells across scales, a capability GenBio calls in-context molecular design. AIDO Cell is aimed at computational biologists, drug discovery teams, and research groups who need to triage hypotheses before committing bench time or wet-lab budget. It fits alongside rather than replacing specialized structure predictors and single-cell foundation models, and the broader ecosystem includes AIDO Foundry for adapting the simulator to new cell types and data modalities and AIDO Lab as the interface for running and observing experiments.