[Refactor] Large scale formatting/linting (#193)

All html files now prettier formatted and fixes for incompatible blocks applied

Co-authored-by: Tim Lorsbach <tim@lorsba.ch>
Reviewed-on: enviPath/enviPy#193
Co-authored-by: Tobias O <tobias.olenyi@envipath.com>
Co-committed-by: Tobias O <tobias.olenyi@envipath.com>
This commit is contained in:
2025-11-12 22:47:10 +13:00
committed by jebus
parent 12a20756d6
commit 21d30a923f
114 changed files with 10684 additions and 7009 deletions

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@ -2,131 +2,193 @@
{% load static %}
{% block main_content %}
<div class="max-w-4xl mx-auto px-4 py-8">
<div class="mx-auto max-w-4xl px-4 py-8">
<!-- Breadcrumbs -->
<div class="text-sm breadcrumbs mb-4">
<ul>
<li><a href="/">Home</a></li>
<li>About Us</li>
</ul>
<div class="breadcrumbs mb-4 text-sm">
<ul>
<li><a href="/">Home</a></li>
<li>About Us</li>
</ul>
</div>
<!-- Main Content -->
<div class="bg-base-100 shadow-xl rounded-lg p-8">
<h1 class="text-4xl font-bold mb-6">About enviPath</h1>
<div class="bg-base-100 rounded-lg p-8 shadow-xl">
<h1 class="mb-6 text-4xl font-bold">About enviPath</h1>
<div class="prose max-w-none">
<!-- Hero Image/Graphic -->
<div class="mb-8">
<img src="{% static '/images/ep-rule-artwork.png' %}" alt="enviPath System" class="w-full max-w-2xl mx-auto rounded-lg shadow-md" />
</div>
<p class="text-lg mb-6">
enviPath is a comprehensive database and prediction system for the microbial biotransformation of
organic environmental contaminants. Since 2015, we have been at the forefront of computational
environmental chemistry, helping researchers understand and predict biodegradation pathways.
</p>
<h2 class="text-2xl font-semibold mt-8 mb-4">Our Mission</h2>
<p class="mb-4">
Our mission is to advance environmental science through innovative computational tools that predict
and analyze the biotransformation of chemical compounds. We strive to provide researchers, regulators,
and industry professionals with accurate, accessible tools for understanding environmental fate and behavior.
</p>
<h2 class="text-2xl font-semibold mt-8 mb-4">What We Offer</h2>
<div class="grid md:grid-cols-2 gap-6 mb-6">
<div class="card bg-base-200 shadow-md">
<div class="card-body">
<h3 class="card-title text-primary">Pathway Database</h3>
<p>Access experimentally observed biotransformation pathways and reactions from curated scientific literature.</p>
</div>
</div>
<div class="card bg-base-200 shadow-md">
<div class="card-body">
<h3 class="card-title text-primary">Prediction System</h3>
<p>Use our relative reasoning models to predict likely biotransformation pathways and products for new compounds.</p>
</div>
</div>
<div class="card bg-base-200 shadow-md">
<div class="card-body">
<h3 class="card-title text-primary">Machine Learning Models</h3>
<p>Leverage advanced ML algorithms trained on extensive biodegradation data for accurate predictions.</p>
</div>
</div>
<div class="card bg-base-200 shadow-md">
<div class="card-body">
<h3 class="card-title text-primary">Community Platform</h3>
<p>Join our active community of researchers to share knowledge, discuss findings, and collaborate.</p>
</div>
</div>
</div>
<h2 class="text-2xl font-semibold mt-8 mb-4">Our Technology</h2>
<p class="mb-4">
enviPath employs a unique combination of rule-based and machine learning approaches to predict
biotransformation pathways:
</p>
<ul class="list-disc list-inside mb-4 space-y-2">
<li><strong>Relative Reasoning:</strong> Uses structural similarity to known biotransformations</li>
<li><strong>Rule-Based Systems:</strong> Applies expert-curated transformation rules</li>
<li><strong>Machine Learning:</strong> Leverages neural networks for pattern recognition</li>
<li><strong>Hybrid Models:</strong> Combines multiple approaches for optimal accuracy</li>
</ul>
<h2 class="text-2xl font-semibold mt-8 mb-4">Our Partners</h2>
<p class="mb-4">
enviPath is backed by leading research institutions and collaborators:
</p>
<div class="flex flex-wrap justify-center items-center gap-8 my-8">
<img src="{% static '/images/uoa-logo-small.png' %}" alt="The University of Auckland" class="h-20 object-contain" />
<img src="{% static '/images/logo-eawag.svg' %}" alt="Eawag" class="h-16 object-contain" />
<img src="{% static '/images/uzh-logo.svg' %}" alt="University of Zurich" class="h-20 object-contain" />
</div>
<h2 class="text-2xl font-semibold mt-8 mb-4">Our Team</h2>
<p class="mb-4">
enviPath is developed and maintained by a dedicated team of computational chemists, environmental
scientists, and software engineers. Our interdisciplinary approach ensures that the platform meets
the needs of the scientific community while remaining accessible and user-friendly.
</p>
<h2 class="text-2xl font-semibold mt-8 mb-4">Research Impact</h2>
<p class="mb-4">
Since its inception, enviPath has contributed to numerous scientific publications and environmental
assessments. Our tools are used by:
</p>
<ul class="list-disc list-inside mb-4 space-y-2">
<li>Academic researchers in environmental chemistry and toxicology</li>
<li>Regulatory agencies for chemical risk assessment</li>
<li>Chemical manufacturers for product development and safety evaluation</li>
<li>Environmental consultants for contamination studies</li>
</ul>
<h2 class="text-2xl font-semibold mt-8 mb-4">Open Science Commitment</h2>
<p class="mb-4">
We are committed to open science principles. enviPath provides free access to our database and
prediction tools for academic research. We actively contribute to the scientific community through
publications, open-source software, and collaboration.
</p>
<div class="card bg-primary text-primary-content mt-8">
<div class="card-body">
<h3 class="card-title">Get Involved</h3>
<p>Join our community, contribute data, or collaborate on research projects.</p>
<div class="card-actions justify-end mt-4">
<a href="https://community.envipath.org/" target="_blank" class="btn btn-secondary">Visit Community</a>
<a href="/contact" class="btn btn-ghost">Contact Us</a>
</div>
</div>
</div>
<h2 class="text-2xl font-semibold mt-8 mb-4">Publications</h2>
<p class="mb-4">
To learn more about the science behind enviPath, please visit our
<a href="/cite" class="link link-primary">citations page</a> for key publications and how to cite our work.
</p>
<div class="prose max-w-none">
<!-- Hero Image/Graphic -->
<div class="mb-8">
<img
src="{% static '/images/ep-rule-artwork.png' %}"
alt="enviPath System"
class="mx-auto w-full max-w-2xl rounded-lg shadow-md"
/>
</div>
<p class="mb-6 text-lg">
enviPath is a comprehensive database and prediction system for the
microbial biotransformation of organic environmental contaminants.
Since 2015, we have been at the forefront of computational
environmental chemistry, helping researchers understand and predict
biodegradation pathways.
</p>
<h2 class="mt-8 mb-4 text-2xl font-semibold">Our Mission</h2>
<p class="mb-4">
Our mission is to advance environmental science through innovative
computational tools that predict and analyze the biotransformation of
chemical compounds. We strive to provide researchers, regulators, and
industry professionals with accurate, accessible tools for
understanding environmental fate and behavior.
</p>
<h2 class="mt-8 mb-4 text-2xl font-semibold">What We Offer</h2>
<div class="mb-6 grid gap-6 md:grid-cols-2">
<div class="card bg-base-200 shadow-md">
<div class="card-body">
<h3 class="card-title text-primary">Pathway Database</h3>
<p>
Access experimentally observed biotransformation pathways and
reactions from curated scientific literature.
</p>
</div>
</div>
<div class="card bg-base-200 shadow-md">
<div class="card-body">
<h3 class="card-title text-primary">Prediction System</h3>
<p>
Use our relative reasoning models to predict likely
biotransformation pathways and products for new compounds.
</p>
</div>
</div>
<div class="card bg-base-200 shadow-md">
<div class="card-body">
<h3 class="card-title text-primary">Machine Learning Models</h3>
<p>
Leverage advanced ML algorithms trained on extensive
biodegradation data for accurate predictions.
</p>
</div>
</div>
<div class="card bg-base-200 shadow-md">
<div class="card-body">
<h3 class="card-title text-primary">Community Platform</h3>
<p>
Join our active community of researchers to share knowledge,
discuss findings, and collaborate.
</p>
</div>
</div>
</div>
<h2 class="mt-8 mb-4 text-2xl font-semibold">Our Technology</h2>
<p class="mb-4">
enviPath employs a unique combination of rule-based and machine
learning approaches to predict biotransformation pathways:
</p>
<ul class="mb-4 list-inside list-disc space-y-2">
<li>
<strong>Relative Reasoning:</strong> Uses structural similarity to
known biotransformations
</li>
<li>
<strong>Rule-Based Systems:</strong> Applies expert-curated
transformation rules
</li>
<li>
<strong>Machine Learning:</strong> Leverages neural networks for
pattern recognition
</li>
<li>
<strong>Hybrid Models:</strong> Combines multiple approaches for
optimal accuracy
</li>
</ul>
<h2 class="mt-8 mb-4 text-2xl font-semibold">Our Partners</h2>
<p class="mb-4">
enviPath is backed by leading research institutions and collaborators:
</p>
<div class="my-8 flex flex-wrap items-center justify-center gap-8">
<img
src="{% static '/images/uoa-logo-small.png' %}"
alt="The University of Auckland"
class="h-20 object-contain"
/>
<img
src="{% static '/images/logo-eawag.svg' %}"
alt="Eawag"
class="h-16 object-contain"
/>
<img
src="{% static '/images/uzh-logo.svg' %}"
alt="University of Zurich"
class="h-20 object-contain"
/>
</div>
<h2 class="mt-8 mb-4 text-2xl font-semibold">Our Team</h2>
<p class="mb-4">
enviPath is developed and maintained by a dedicated team of
computational chemists, environmental scientists, and software
engineers. Our interdisciplinary approach ensures that the platform
meets the needs of the scientific community while remaining accessible
and user-friendly.
</p>
<h2 class="mt-8 mb-4 text-2xl font-semibold">Research Impact</h2>
<p class="mb-4">
Since its inception, enviPath has contributed to numerous scientific
publications and environmental assessments. Our tools are used by:
</p>
<ul class="mb-4 list-inside list-disc space-y-2">
<li>
Academic researchers in environmental chemistry and toxicology
</li>
<li>Regulatory agencies for chemical risk assessment</li>
<li>
Chemical manufacturers for product development and safety evaluation
</li>
<li>Environmental consultants for contamination studies</li>
</ul>
<h2 class="mt-8 mb-4 text-2xl font-semibold">
Open Science Commitment
</h2>
<p class="mb-4">
We are committed to open science principles. enviPath provides free
access to our database and prediction tools for academic research. We
actively contribute to the scientific community through publications,
open-source software, and collaboration.
</p>
<div class="card bg-primary text-primary-content mt-8">
<div class="card-body">
<h3 class="card-title">Get Involved</h3>
<p>
Join our community, contribute data, or collaborate on research
projects.
</p>
<div class="card-actions mt-4 justify-end">
<a
href="https://community.envipath.org/"
target="_blank"
class="btn btn-secondary"
>Visit Community</a
>
<a href="/contact" class="btn btn-ghost">Contact Us</a>
</div>
</div>
</div>
<h2 class="mt-8 mb-4 text-2xl font-semibold">Publications</h2>
<p class="mb-4">
To learn more about the science behind enviPath, please visit our
<a href="/cite" class="link link-primary">citations page</a> for key
publications and how to cite our work.
</p>
</div>
</div>
</div>
</div>
{% endblock main_content %}