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PeptideScore

August - September 2025peptidescore.com

SEO-optimized biomedical web application for analyzing peptide-based compounds. Improved Google indexing through structured robots control, enhanced image performance, and optimized routing logic. Collaborated on technical SEO fixes, redirection handling, and search visibility improvements.

PeptideScore project by Dario Auda — SEO-optimized biomedical web application for analyzing peptide-based compounds.
Next.jsReactTypeScriptGoogle Search ConsolePayload CMSTailwind CSSClerkDockerNginx

Overview

PeptideScore is an AI-driven biomedical web application designed for analyzing peptide-based compounds. The platform integrates bioinformatics tools and machine learning models for peptide scoring and structure prediction.

Key Features

SEO-optimized architecture — improved Google indexing through structured robots control and optimized routing
Secure authentication via Clerk with role-based access control
Dynamic API routes and webhooks for data synchronization with external ML services
Custom analytics dashboard built with React and Tailwind for peptide analysis visualization

Technical Highlights

Core backend developed with Payload CMS and TypeScript
Implemented technical SEO fixes including redirection handling and search visibility improvements
Enhanced image performance for faster load times
Deployment optimized with Docker and Nginx ensuring continuous delivery and SSL

Impact

Improved Google indexing and search visibility for the platform, enabling researchers and professionals in the biomedical field to discover and use peptide analysis tools more effectively.