KubeFold: Kubernetes-native automation of AlphaFold protein structure prediction workflows

KubeFold is a Kubernetes-native software platform for automating AlphaFold-based protein structure prediction workflows in cloud and cluster environments. The system introduces a declarative model for managing reference databases and prediction jobs through custom Kubernetes resources. It automates database preparation, workflow orchestration, storage integration, and artifact handling, reducing the operational complexity of large-scale prediction workloads. KubeFold is intended for universities, public research institutions, bioinformatics centers, and non-profit scientific infrastructures that require scalable and reproducible execution of protein structure prediction pipelines under non-commercial use conditions.