Practical guides, research highlights, and thought leadership on AI drug discovery, nanoinformatics, FAIR data, SSbD, and materials informatics from our team.
Safe and Sustainable by Design (SSbD) is reshaping how chemicals and materials are developed in Europe. This guide explains the SSbD framework, its EU regulatory context, and how computational tools help integrate safety and sustainability assessments early in the innovation pipeline.
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Nanoinformatics applies data science to nanomaterials research. Learn what it is, why it matters for nanosafety and materials innovation, and how platforms like Enalos Cloud and NanoPharos make it accessible.
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Making your research data Findable, Accessible, Interoperable, and Reusable doesn't have to be overwhelming. This practical walkthrough shows how to apply FAIR principles using tools and workflows from the NovaMechanics ecosystem.
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Quantitative Structure-Activity Relationship modelling is a cornerstone of computational chemistry. This tutorial walks you through building, validating, and deploying a QSAR model using the Isalos Analytics Platform — no programming required.
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From virtual screening to de novo molecular design, artificial intelligence is transforming every stage of the drug discovery pipeline. We explore five key areas where AI is delivering measurable impact — and where NovaMechanics fits in.
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Materials informatics combines AI with domain expertise to predict material properties before synthesis. Learn how NovaMechanics applies multiscale modelling and predictive analytics to help clients design safer, higher-performing materials.
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Computational toxicology enables faster, cheaper assessment of nanomaterial safety. This article reviews the leading AI approaches to predicting nanoparticle cytotoxicity and walks through real-world examples from NovaMechanics projects.
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NanoPharos is NovaMechanics' open nanomaterial database built on FAIR principles. Discover how structured metadata, standardised ontologies, and interoperable APIs make nanoscience data reusable across the research community.
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As EU regulations increasingly require SSbD assessments, computational tools become essential for compliance. We explain how AI, predictive toxicology, and exposure modelling align with REACH, CLP, and the EU Chemicals Strategy.
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Absorption, Distribution, Metabolism, Excretion, and Toxicity prediction is the gatekeeper of drug development. Learn why in silico ADMET filtering early in the pipeline reduces attrition rates and how NovaMechanics approaches it.
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