Molecular Systems Design & Engineering

@msde.rsc.org

Molecular engineering journal from the @roysocchem.bsky.social and IChemE. 🌐 Website: rsc.li/msde-journal Published by @rsc.org

🧪New in MSDE! This study shows many atmospheric-water-harvesting studies misciting WHO and U.S. EPA drinking-water ion limits - urging for clearer, more rigorous reporting standards Great work by Brett L. Pollard, Luke A. Connal et al Read the full perspective article here 👉 doi.org/10.1039/D5ME...

WHO said what? Non-robust standards in citing WHO and EPA drinking water guidelines

Recent publications in reputable journals have frequently contained incorrect citations of World Health Organisation (WHO) and U. S. Environmental Protection Agency (EPA) guidelines and regulations, r...

doi.org

🧬Method Spotlight MD simulations to understand the mechanism behind the enhanced thermostability of BrCas12b variant🧪 Read this insightful #OpenAccess article by Janani Sampath et al, 'Exploring the temperature stability of CRISPR-Cas12b using molecular dynamics simulations' doi.org/10.1039/D5ME...

Exploring the temperature stability of CRISPR-Cas12b using molecular dynamics simulations

The thermal stability of CRISPR-Cas nucleases is a critical factor for their successful application in ‘one-pot’ diagnostic assays that utilize high-temperature isothermal amplification. To understand...

doi.org

Nanotech meets sustainability🧪 This MSDE article shows how nanotechnology-enhanced soft materials must be assessed end-to-end: production → use → disposal #molecularengineering Green synthesis + design for circularity = a big difference Great work by Imalka Munaweera et al. 👉 doi.org/10.1039/D5ME...

Lifecycle analysis of nanotechnology-enhanced soft materials in the circular economy

Nanotechnology-enhanced soft materials, ranging from polymers and gels to bio-based composites, offer improved functionality and durability across diverse sectors. As their use grows, assessing their ...

doi.org

Check out this recent work by Yamil J. Colón & co. DynaMate is a modular AI framework that automates molecular research workflows—from setup to analysis. Built in Python, it’s flexible, customizable, and designed to save scientists time. 📖 pubs.rsc.org/en/content/a...

DynaMate: leveraging AI-agents for customized research workflows

Developments related to large language models (LLMs) have deeply impacted everyday activities and are even more significant in scientific applications. They range from simple chatbots that respond to ...

pubs.rsc.org