# PerturbGen

Helical released a Model Context Protocol (MCP) integration for OpenAI's Codex that lets researchers call biological foundation models from the agentic tools they already use, and use or post-train those models on their own data through natural-language instructions. Using such models previously required researchers to configure infrastructure and build the workflows for an experiment. One model available at launch is PerturbGen, developed at the Wellcome Sanger Institute to predict how perturbations reshape cellular trajectories, and Helical with Nebius is offering free compute credits that academic researchers can request.

Helical released a Model Context Protocol (MCP) integration for OpenAI's Codex that lets researchers call biological foundation models from the agentic tools they already use, and use or post-train those models on their own data through natural-language instructions. Using such models previously required researchers to configure infrastructure and build the workflows for an experiment. One model available at launch is PerturbGen, developed at the Wellcome Sanger Institute to predict how perturbations reshape cellular trajectories, and Helical with Nebius is offering free compute credits that academic researchers can request.