Thesis Heurísticas para la generación de fármacos usando diseño de drogas basado en fragmentos y linkers
Loading...
Date
2023-06
Journal Title
Journal ISSN
Volume Title
Publisher
Abstract
Los modelos computacionales actuales facilitan simular la interacción entre macromoléculas y un fármaco (ligando), posibilitando la predicción de la actividad química resultante de esta interacción. En este trabajo se proponen dos acercamientos heurísticos para la resolución del problema de generación de nuevos ligandos para la proteína objetivo Hsp90, utilizando la descomposición de inhibidores conocidos, en base a la metodología Diseño de drogas
basado en fragmentos. Se incorporan a las estructuras, nuevos fragmentos linkers, con el fin de mejorar las relaciones químicas entre los fragmentos, y así contar con conformaciones capaces de inhibir el actuar de la proteína.
The current computational models facilitate simulating the interaction between macromolecules and a drug (ligand), enabling the prediction of the resulting chemical activity from this interaction. In this work, two heuristic approaches are proposed to solve the problem of generating new ligands for the target protein Hsp90, using the decomposition of known inhibitors based on the Fragment-Based Drug Design methodology. New linkers fragments are incorporated into the structures to enhance the chemical relationships between the fragments, thus providing conformations capable of inhibiting the protein’s function.
The current computational models facilitate simulating the interaction between macromolecules and a drug (ligand), enabling the prediction of the resulting chemical activity from this interaction. In this work, two heuristic approaches are proposed to solve the problem of generating new ligands for the target protein Hsp90, using the decomposition of known inhibitors based on the Fragment-Based Drug Design methodology. New linkers fragments are incorporated into the structures to enhance the chemical relationships between the fragments, thus providing conformations capable of inhibiting the protein’s function.
Description
Keywords
Drug design, optimización combinatorial, Inteligencia Artificial
Citation
Campus
Campus Casa Central Valparaíso