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AlphaFold Protein Structure Database

Video · Light

Design System Inspiration

alphafold.com — extracted via DESIGN.md

AI/ML · Protein Structure Prediction

clean corporate data-heavy minimalist geometric card-based layout sticky navigation search-focused hero data visualization

Typography

DM Sans

Heading

Aa Aa Aa Aa

IBM Plex Sans

Body

Aa Aa Aa Aa

Color palette

TL;DR

AlphaFold's design system is a functional, information-dense framework built for scientific data dissemination. The palette is anchored by a primary "AlphaFold Blue" (#3b6fb6) and supported by a range of neutral grays (#d0d0ce, #54585a) that organize complex academic content. Typography relies heavily on **IBM Plex Sans**, utilizing its technical clarity for both massive 42px display headers and dense 14px legal footers. Layouts are characterized by sharp edges (0px radius), heavy borders (up to 8px on footers), and a distinctive "offset shadow" pattern (#193f90) that provides depth to primary action buttons without using traditional blurs.

Target audience

Academic researchers and biologists looking to access and analyze protein structure predictions for scientific study.

Full tech stack

Google Analytics Google Tag Manager Hotjar jsDelivr reCAPTCHA ZURB Foundation

Analytics

Hotjar Google Tag Manager Google Analytics

Meta description

AlphaFold Protein Structure Database

Brand Voice

Academic, precise, and utilitarian, prioritizing scientific utility over marketing flair.

Positioning

AlphaFold is an AI-driven protein structure database developed by Google DeepMind and EMBL-EBI. It serves the global scientific and academic community by providing high-accuracy structural predictions to facilitate biological research and functional discovery.

Voice principles

  • Academic: Uses formal, peer-reviewed language and prioritizes proper citation and attribution.
  • Transparent: Openly discusses limitations, confidence levels, and the specific methodologies used to generate data.
  • Functional: Focuses on utility and "how-to" instructions, using direct verbs to guide researchers through the database.
  • Collaborative: Emphasizes the partnership between AI developers and biological institutes, framing the tool as a contribution to the scientific ecosystem.

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