enviPy-bayer/templates/static/about_us.html

{% extends "framework_modern.html" %}
{% load static %}

{% block main_content %}
<div class="max-w-4xl mx-auto 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>

    <!-- 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="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>
    </div>
</div>
{% endblock main_content %}