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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.

Project: Research

Project Details

Description

SIN RESUMEN

General Objective

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.

Specific Objectives

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.

Research Level

Investigacion basica

Research Approach

Disciplinario

Project Type

CONCURSO ANUAL DE INVESTIGACIÓN

Research Lines

  • 104 — Síntesis química

OECD Fields of Science and Technology

Ciencias naturales - Química - Química orgánica

Funding Institution

PONTIFICIA UNIVERSIDAD CATÓLICA DEL PERÚ
Short titleIN SILICO DESIGN STRUCTURAL
StatusActive
Effective start/end date1/08/2531/07/27