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MutAIon

A Full Stack Variant Effect Predictor leveraging the Evo2 LLM for Single Nucleotide Variant(SNV) pathogenicity analysis, powered by a Modal‑deployed FastAPI GPU backend and a Next.js + Shadcn UI frontend

MutAIon

A Full Stack Variant Effect Predictor leveraging the Evo2 LLM for Single Nucleotide Variant(SNV) pathogenicity analysis, powered by a Modal‑deployed FastAPI GPU backend and a Next.js + Shadcn UI frontend

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Github Stars Github Stars: 41
Last Commit Last Commit: May 8, 2025 -
First Commit Created: May 24, 2025 -
MutAIon screenshot

Overview

The Watch DemoMutAIon web application is an innovative platform designed to predict the effect of genetic variants, specifically single nucleotide variants (SNVs). By harnessing the power of the Evo2 large language model, this tool enables researchers and clinicians to assess the pathogenicity of genetic mutations with unprecedented accuracy. Integrated with a user-friendly interface, this application provides insights that are crucial for genomic research and precision medicine.

Developed using cutting-edge technologies, the app not only offers robust prediction capabilities but also ensures a seamless user experience through its intuitive frontend and efficient backend. Whether you’re a geneticist or a healthcare professional, this platform promises to streamline the process of variant analysis while improving the reliability of classifications.

Features

  • Python Backend: Built using FastAPI, this backend integrates with a powerful H100 GPU via Modal’s serverless infrastructure for fast processing.

  • AI Model Integration: Utilizes the Evo2 model to classify SNVs as pathogenic or benign, providing users with reliable predictions.

  • Database Comparison: Effortlessly fetches ClinVar classifications to enhance the accuracy of the variant assessments.

  • Responsive Frontend: Created with Next.js, React, and TypeScript, ensuring a dynamic and interactive user experience.

  • Genome Assembly Selection: Easily select different genome assemblies for targeted analysis of specific genes.

  • Chromosome Browsing & Gene Search: Users can browse chromosomes and search for specific genes, such as BRCA1, to facilitate focused research.

  • Reference Genome Display: Provides a clear view of reference genomes, making it easier to understand the context of mutations.

  • Prediction Insights: Input mutations and receive immediate predictions which can be viewed alongside ClinVar classifications for comprehensive analysis.