Universitat Politècnica de Catalunya. Departament de Matemàtiques
Universitat Politècnica de Catalunya. UPCDS - Grup de Sistemes Dinàmics de la UPC
2026-04-01
Drug–target residence time (t) is reviewed from two perspectives: mathematics and molecular dynamics. The first focuses on the quantification of t using a mathematical formalism applicable to different pharmacological mechanistic conditions. This formalism is based on the concept of the smallest-modulus eigenvalue of a subsystem of interest, in which the global formation process has been eliminated. The second includes relevant studies of recent years to provide a structural explanation of t predictions. Special attention is paid to physically supported artificial intelligence methods. The main objective of this minireview is to promote a combined approach in which mathematics and physics work synergistically to describe the complexity associated with t in G protein-coupled receptors.
Peer Reviewed
Postprint (published version)
Article
Inglés
Àrees temàtiques de la UPC::Matemàtiques i estadística; Ordinary differential equations; Kinetic modelin; Eigenvalue-based formalism; Molecular dynamics (MD) simulations; Drug-target residence time; Ligand–receptor interactions
https://www.sciencedirect.com/science/article/pii/S0959440X25002325
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2023-151791OB-I00/ES/ANALISIS DEL SISTEMA OPIOIDE ENDOGENO PARA MEJORAR EL TRATAMIENTO DEL DOLOR CRONICO: UN ENFOQUE FARMACOLOGICO COMPUTACIONAL/
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-122954NB-I00/ES/INVARIANT MANIFOLDS, HAMILTONIAN SYSTEMS AND DYNAMICS IN NEUROSCIENCE, EPIDEMIOLOGY AND ATMOSPHERE/
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-119136RB-I00/ES/EVALUACION DE LA COMPLEJIDAD FUNCIONAL DE LOS GPCRS MEDIANTE METODOS COMPUTACIONALES: EL DOLOR CRONICO DESDE UNA PERSPECTIVA DE FARMACOLOGIA MOLECULAR/
http://creativecommons.org/licenses/by/4.0/
Open Access
Attribution 4.0 International
E-prints [72263]