From simple to complex: multiscale modeling of metal-mediated protein interactions to uncover mechanistic insights into the action of inorganic drugs

This Perspective article explores the crucial role of computational and experimental models in protein metalation studies which is at the heart of advancing inorganic medicinal drugs. The intricate world of protein-inorganic drug interactions poses a significant challenge to computational and experimental characterisation. Indeed, the vast conformational landscapes and dynamic behaviours of proteins demand sophisticated modelling strategies to accurately predict drug behaviour and mechanism of action. Using selected examples, this article demonstrates how research progresses from simple models to increasingly complex systems, thereby facilitating the acquisition of comprehensive mechanistic insights. An effective and pragmatic strategy for navigating this complexity is to deliberately use simple models as steppingstones towards understanding more intricate protein metalation phenomena. This hierarchical modelling paradigm enables researchers to systematically develop an understanding of processes ranging from fundamental atomic interactions to the entire protein-drug dynamic, balancing computational and experimental feasibility with deep mechanistic insight.

Authors

Institutions

Publication Details

Journal
Frontiers in Chemical Biology
Published
2026-01-15
DOI
https://doi.org/10.3389/fchbi.2026.1764819
Primary Topic
Enzyme Structure and Function
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

From simple to complex: multiscale modeling of metal-mediated protein interactions to uncover mechanistic insights into the action of inorganic drugs

Diego La Mendola, Iogann Tolbatov, Alessandro Marrone, Tiziano Marzo et al.
Frontiers in Chemical Biology
Enzyme Structure and Function
article

From simple to complex: multiscale modeling of metal-mediated protein interactions to uncover mechanistic insights into the action of inorganic drugs

Diego La Mendola, Iogann Tolbatov, Alessandro Marrone, Tiziano Marzo, Luca Famlonga, Lorenzo Chiaverini, Nicolò Tonali, Lidia Ciccone, Jürgen Gailer, Luigi Messori, Davide Piroddu
article en

Abstract

This Perspective article explores the crucial role of computational and experimental models in protein metalation studies which is at the heart of advancing inorganic medicinal drugs. The intricate world of protein-inorganic drug interactions poses a significant challenge to computational and experimental characterisation. Indeed, the vast conformational landscapes and dynamic behaviours of proteins demand sophisticated modelling strategies to accurately predict drug behaviour and mechanism of action. Using selected examples, this article demonstrates how research progresses from simple models to increasingly complex systems, thereby facilitating the acquisition of comprehensive mechanistic insights. An effective and pragmatic strategy for navigating this complexity is to deliberately use simple models as steppingstones towards understanding more intricate protein metalation phenomena. This hierarchical modelling paradigm enables researchers to systematically develop an understanding of processes ranging from fundamental atomic interactions to the entire protein-drug dynamic, balancing computational and experimental feasibility with deep mechanistic insight.

Frontiers in Chemical BiologyVol. 5
University of Pisa (IT), University of Sassari (IT), University of Calgary (CA), Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR), Université Paris-Saclay (FR), University of Chieti-Pescara (IT), CEA Paris-Saclay (FR), University of Florence (IT)
Openalex Percentile: Top 87%
Enzyme Structure and Function
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.