forked from enviPath/enviPy
Static pages update (#299)
I have updated the static pages following @wicker comments on #275 Co-authored-by: Tobias O <tobias.olenyi@envipath.com> Reviewed-on: enviPath/enviPy#299 Co-authored-by: Liam Brydon <lbry121@aucklanduni.ac.nz> Co-committed-by: Liam Brydon <lbry121@aucklanduni.ac.nz>
This commit is contained in:
@ -33,23 +33,15 @@
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biodegradation pathways.
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</p>
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<h2 class="mt-8 mb-4 text-2xl font-semibold">Our Mission</h2>
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<p class="mb-4">
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Our mission is to advance environmental science through innovative
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computational tools that predict and analyze the biotransformation of
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chemical compounds. We strive to provide researchers, regulators, and
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industry professionals with accurate, accessible tools for
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understanding environmental fate and behavior.
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</p>
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<h2 class="mt-8 mb-4 text-2xl font-semibold">What We Offer</h2>
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<h2 class="mt-8 mb-4 text-2xl font-semibold">Services</h2>
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<div class="mb-6 grid gap-6 md:grid-cols-2">
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<div class="card bg-base-200 shadow-md">
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<div class="card-body">
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<h3 class="card-title text-primary">Pathway Database</h3>
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<p>
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Access experimentally observed biotransformation pathways and
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reactions from curated scientific literature.
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reactions from curated scientific literature and assessment
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reports.
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</p>
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</div>
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</div>
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@ -57,8 +49,8 @@
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<div class="card-body">
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<h3 class="card-title text-primary">Prediction System</h3>
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<p>
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Use our relative reasoning models to predict likely
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biotransformation pathways and products for new compounds.
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Use our models to predict likely biotransformation pathways and
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products for new compounds.
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</p>
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</div>
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</div>
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@ -66,8 +58,8 @@
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<div class="card-body">
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<h3 class="card-title text-primary">Machine Learning Models</h3>
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<p>
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Leverage advanced ML algorithms trained on extensive
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biodegradation data for accurate predictions.
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Leverage advanced Machine Learning algorithms trained on
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extensive biodegradation data for accurate predictions.
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</p>
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</div>
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</div>
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@ -75,37 +67,14 @@
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<div class="card-body">
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<h3 class="card-title text-primary">Community Platform</h3>
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<p>
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Join our active community of researchers to share knowledge,
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discuss findings, and collaborate.
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Join our active community of researchers to access
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documentation, get help, share knowledge, discuss findings, and
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collaborate.
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</p>
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</div>
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</div>
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</div>
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<h2 class="mt-8 mb-4 text-2xl font-semibold">Our Technology</h2>
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<p class="mb-4">
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enviPath employs a unique combination of rule-based and machine
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learning approaches to predict biotransformation pathways:
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</p>
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<ul class="mb-4 list-inside list-disc space-y-2">
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<li>
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<strong>Relative Reasoning:</strong> Uses structural similarity to
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known biotransformations
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</li>
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<li>
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<strong>Rule-Based Systems:</strong> Applies expert-curated
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transformation rules
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</li>
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<li>
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<strong>Machine Learning:</strong> Leverages neural networks for
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pattern recognition
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</li>
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<li>
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<strong>Hybrid Models:</strong> Combines multiple approaches for
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optimal accuracy
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</li>
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</ul>
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<h2 class="mt-8 mb-4 text-2xl font-semibold">Our Partners</h2>
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<p class="mb-4">
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enviPath is backed by leading research institutions and collaborators:
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@ -128,66 +97,41 @@
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/>
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</div>
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<h2 class="mt-8 mb-4 text-2xl font-semibold">Our Team</h2>
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<p class="mb-4">
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enviPath is developed and maintained by a dedicated team of
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computational chemists, environmental scientists, and software
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engineers. Our interdisciplinary approach ensures that the platform
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meets the needs of the scientific community while remaining accessible
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and user-friendly.
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</p>
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<h2 class="mt-8 mb-4 text-2xl font-semibold">Research Impact</h2>
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<p class="mb-4">
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Since its inception, enviPath has contributed to numerous scientific
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publications and environmental assessments. Our tools are used by:
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</p>
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<ul class="mb-4 list-inside list-disc space-y-2">
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<li>
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Academic researchers in environmental chemistry and toxicology
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</li>
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<li>Regulatory agencies for chemical risk assessment</li>
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<li>
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Chemical manufacturers for product development and safety evaluation
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</li>
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<li>Environmental consultants for contamination studies</li>
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</ul>
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<h2 class="mt-8 mb-4 text-2xl font-semibold">
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Open Science Commitment
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</h2>
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<p class="mb-4">
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We are committed to open science principles. enviPath provides free
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access to our database and prediction tools for academic research. We
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actively contribute to the scientific community through publications,
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open-source software, and collaboration.
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</p>
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<div class="card bg-primary text-primary-content mt-8">
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<div class="card-body">
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<h3 class="card-title">Get Involved</h3>
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<p>
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Join our community, contribute data, or collaborate on research
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projects.
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</p>
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<div class="card-actions mt-4 justify-end">
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<a
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href="https://community.envipath.org/"
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target="_blank"
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class="btn btn-secondary"
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>Visit Community</a
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>
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<a href="/contact" class="btn btn-ghost">Contact Us</a>
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<div class="mb-6 grid gap-6 md:grid-cols-2">
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<div class="card bg-primary text-primary-content mt-8">
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<div class="card-body">
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<h3 class="card-title">Get Involved</h3>
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<p>
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Join our community, contribute data, or collaborate on research
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projects.
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</p>
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<div class="card-actions mt-4 justify-end">
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<a
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href="https://community.envipath.org/"
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target="_blank"
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class="btn btn-secondary"
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>Visit Community</a
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>
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<a href="/contact" class="btn btn-ghost">Contact Us</a>
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</div>
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</div>
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</div>
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<div class="card bg-primary text-primary-content mt-8">
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<div class="card-body">
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<h3 class="card-title">Cite Us</h3>
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<p>
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To learn more about the science behind enviPath, please visit
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our publications page for key publications and how to cite our
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work.
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</p>
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<div class="card-actions mt-4 justify-end">
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<a href="/cite" target="_blank" class="btn btn-secondary"
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>Publications</a
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>
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</div>
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</div>
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</div>
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</div>
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<h2 class="mt-8 mb-4 text-2xl font-semibold">Publications</h2>
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<p class="mb-4">
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To learn more about the science behind enviPath, please visit our
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<a href="/cite" class="link link-primary">citations page</a> for key
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publications and how to cite our work.
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</p>
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</div>
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</div>
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</div>
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