Enables AI-powered protein structure prediction and variant analysis via Docker, with tools for submitting predictions, batch processing variants, and monitoring jobs.
Enables protein structure prediction using the Chai-1 model via Docker, with tools for small peptides, FASTA-based predictions, MSA-enhanced predictions, batch processing, and job management.
An MCP server that enables AI assistants to generate, score, and analyze DNA sequences using the evo2 genomic foundation model. It supports multiple execution modes including local GPU, SLURM clusters, and the Nvidia NIM cloud API for tasks like variant effect prediction and sequence embedding.
MCP server exposing Vecura's bio/drug-discovery models to LLM agents. It authenticates users with JWT and forwards requests to existing Vecura services for model discovery, job submission, and status tracking.
Enables protein structure and sequence searches using FoldSeek, with support for multiple databases, automatic model downloads, and structured job management.