@afranceschem.bsky.social

🧪⚡️☀️⏰️ Photochemistry and chemical dynamics. Chemist at University of Valencia #Photochemistry #ExcitedStates #MolecularDynamics

🧬 DNA intercalation is usually associated with toxicity, but it can also be used to enhance DNA covalent photoreactions. This is proved in JCIM @acs.org @martaealberto.bsky.social doi.org/10.1021/acs....

Intercalation Favors DNA Covalent Photobinding in Photoresponsive Dual PDT/PCT Bimetallic Assemblies

The local treatment of solid tumors through photoactivated therapies demands the development of alternative strategies independent of oxygen levels, which are often very low in cancerous tissues. In this regard, the combination of an efficient reactive oxygen species (ROS) photogenerator with a drug that covalently targets DNA represents a valuable approach due to the in situ combination of type I/II photodynamic reactions with the covalent blockage of the DNA biological function. In this context, the theoretical framework of the chemical events that cause the observed phototoxicity is far from being fully understood, especially the dynamic factors, timescales, and environmental effects. This work sheds light on the molecular basis of these events by studying the DNA photoreactivity of a Ru(II)/Os(II) and a Pt(II) bimetallic assembly via microsecond molecular dynamics and multiscale biased quantum mechanics/molecular mechanics (QM/MM) MD simulations. Analysis of the DNA interaction modes reveals persistent major/minor groove interactions of the photosensitizer and a thermodynamically favored DNA intercalation. On the other hand, the free energy landscapes reveal kinetically fast (energy barriers ca. 6 kcal·mol–1) ligand exchange reactions between the N7 position of guanine and the platinum center in the triplet excited state, clearly highlighting the role of light in accelerating the chemical process. Additional analyses suggest that DNA intercalation, often associated with high cellular toxicity, could instead be seen as an opportunity to increase phototoxicity indexes by reducing the DNA conformational space available for photoreactions and improving absorption properties.

doi.org

18 positions with one more in theory! 📣📣📣 Fancy theory, catalysis , excellent research, and working in the most liveable city of the world? 🖥️☀️🎓🇦🇹 Apply now! #phdjobs

Universität Wien / University of Vienna@univie.ac.at · 2y ago

Vienna Doctoral School in #Chemistry offers 17 fully funded #PhD positions. 🧪 #phdsky #academicsky 👩‍🔬👨‍🔬 📅 Application deadline: April 21, 2025. For more information & how to apply: ⤵️ doschem.univie.ac.at/application/...

Vienna Doctoral School in Chemistry - DoSChem call 2025. We offer 17 fully funded PhD positions in Chemistry. Application Deadline: 21.04.2025.

🔎easyPARM is officially presented in JCTC!! ✅️ Check out the validation and new capabilities 🔆 Great work of A. Abdelgawwad, code developer. doi.org/10.1021/acs.... #JCTC #CompChem #MetalComplex #MolecularDynamics

easyPARM: Automated, Versatile, and Reliable Force Field Parameters for Metal-Containing Molecules with Unique Labeling of Coordinating Atoms

The dynamics of metal centers are challenging to describe due to the vast variety of ligands, metals, and coordination spheres, hampering the existence of general databases of transferable force field parameters for classical molecular dynamics simulations. Here, we present easyPARM, a Python-based tool that can calculate force field parameters for a wide range of metal complexes from routine frequency calculations with electronic structure methods. The approach is based on a unique labeling strategy, in which each ligand atom that coordinates the metal receives a unique atom type. This design prevents parameter shortage, labeling duplication, and the necessity to post-process output files, even for very complicated coordination spheres, whose parametrization process remain automatic. The program requires the Cartesian Hessian matrix, the geometry xyz file, and the atomic charges to provide reliable force-field parameters extensively benchmarked against density functional theory dynamics in both the gas and condensed phases. The procedure allows the classical description of metal complexes at a low computational cost with an accuracy as good as the quality of the Hessian matrix obtained by quantum chemistry methods. easyPARM v2.00 reads vibrational frequencies and charges in Gaussian (version 09 or 16) or ORCA (version 5 or 6) format and provides refined force-field parameters in Amber format. These can be directly used in Amber and NAMD molecular dynamics engines or converted to other formats. The tool is available free of charge in the GitHub platform (https://github.com/Abdelazim-Abdelgawwad/easyPARM.git).

doi.org