In Silico Design and Structural Optimization Using Artificial Intelligence Models for the Synthesis of New Antiviral Compounds and the Determination of Their Anti-Dengue Activity Using Nuclear Magnetic Resonance.

  • Castro Agudelo, Brian Alejandro (Investigador principal)
  • Crizostomo Kock, Flavio Vinicius (Coinvestigador)
  • Maruenda Castillo, Helena (Coinvestigador)

Proyecto: Investigación

Detalles del proyecto

Descripción

SIN RESUMEN

Objetivo General

Using of artificial intelligence tools and computational molecular screening to design new inhibitory molecules, which will be synthesized and evaluated for their biological activity against dengue RNA polymerase using in vitro nuclear magnetic resonance (NMR) tests.

Objetivos Especificos

OE1:The use of artificial intelligence tools and computational simulations to design and optimize potential DENV RNA polymerase inhibitors. OE2:To synthesize molecules that exhibit the best parameters after rational design and characterize their structure using various spectroscopic techniques. OE3:Analysis of the biological activity and binding affinity of the synthesized molecules against DENV RNA polymerase using in vitro assays with STD-NMR. OE4:Training of two students in organic synthesis and molecular design. OE5:Communication the results through publications and scientific outreach.

Nivel de Investigación

Investigacion basica

Enfoque de Investigación

Disciplinario

Tipo de Proyecto

CONCURSO ANUAL DE INVESTIGACIÓN

Líneas de Investigación

  • 104 — Síntesis química

Áreas de conocimiento OCDE

Ciencias naturales - Química - Química orgánica

Entidad Financiadora

PONTIFICIA UNIVERSIDAD CATÓLICA DEL PERÚ
Título cortoIN SILICO DESIGN STRUCTURAL
EstadoActivo
Fecha de inicio/Fecha fin1/08/2531/07/27