Search research articles

ACERCA DE JoVE

Visión General Liderazgo Blog Centro de Ayuda JoVE

AUTORES

Proceso de Publicación Consejo Editorial Alcance y Políticas Revisión por Pares Preguntas Frecuentes Enviar

BIBLIOTECARIOS

Testimonios Suscripciones Acceso Recursos Consejo Asesor de Bibliotecas Preguntas Frecuentes

INVESTIGACIÓN

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archivo

EDUCACIÓN

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Centro de Recursos para Profesores Sitio de Profesores

Términos y Condiciones de Uso

Política de Privacidad

Videos de Conceptos Relacionados

Drug Discovery: Overview

Drug Discovery: Overview

Drug discovery is a multifaceted process involving extensive screening, testing, and optimization of lead compounds to identify potential new drugs for therapeutic use. It combines several approaches, including screening large numbers of natural products, chemical modification of known active molecules, identification of new drug targets, and rational design based on biological mechanisms and drug-receptor structure. These approaches are carried out in both academic research laboratories and...

Structure-Activity Relationships and Drug Design

Structure-Activity Relationships and Drug Design

Drug design is a dynamic field that involves discovering and developing new medications based on specific biological targets. This process heavily relies on structure-activity relationships (SAR) and quantitative structure-activity relationships (QSAR) to guide the design and optimization of efficient drugs.
SAR studies the intricate relationship between a drug's chemical structure and biological activity. It focuses on understanding how modifications to a drug's structure can influence...

Combination Therapies and Personalized Medicine

Combination Therapies and Personalized Medicine

Combining two or more treatment methods increases the life span of cancer patients while reducing damage to vital organs or tissue from the overuse of a single treatment. Combination therapy also targets different cancer-inducing pathways, thus reducing the chances of developing resistance to treatment.
The combination of the drug acetazolamide and sulforaphane is a good example of combination therapy to treat cancer. The cells in the interior of a large tumor often die due to the hypoxic and...

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...

También podría leer

Artículos Relacionados

Artículos vinculados a este trabajo por autores compartidos, revista y gráfico de citas.

Ordenar por

Same author

Deep learning enabled decision support systems in epilepsy surgery: a scoping review.

npj health systems·2026

Same author

Impact of a Real-Time Virtual Rounding Queue on Neonatal Intensive Care Unit Rounding Practices: Survey Study of Clinicians' Perceptions.

JMIR pediatrics and parenting·2026

Same author

Biopsychosocial Determinants of Frailty in Older People Living With HIV in China: A Bayesian Network Analysis.

The Journal of the Association of Nurses in AIDS Care : JANAC·2026

Same author

Knowledge and perspectives on pharmacogenomic-guided antidepressant treatment among psychiatrists and primary care practitioners.

Pharmacogenetics and genomics·2026

Same author

Implementation of a Real-Time Virtual Rounding Queue on Neonatal Intensive Care Unit Rounding Practices: A Survey of Clinicians' Perceptions.

JMIR pediatrics and parenting·2026

Same author

Who receives psychiatry-focused pharmacogenomic testing, and is it associated with prescribing patterns and acute care utilisation in depression? Real-world evidence from a large health system.

EBioMedicine·2026

Same journal

Sensitivity Analyses of a Scoring System for a Contraception Decision Aid.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026

Same journal

Improving electronic health record processing of large language models via retrieval-augmented generation: A case study on dietary supplements.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026

Same journal

Developing a User-Centered Mobile Application Prototype: Bridging Lower-Limb Fracture Care from Skilled Nursing Facility and Back to the Community.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026

Same journal

KERAP: A Knowledge-Enhanced Reasoning Approach for Accurate Zero-shot Diagnosis Prediction Using Multi-agent LLMs.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026

Same journal

Automating Adjudication of Cardiovascular Events Using Large Language Models.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026

Same journal

Predictive Factors and State-Level Barriers to Postpartum Birth Control Usage in the United States: Insights from PRAMS Phase 8.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026

Ver todos los artículos relacionados

Search research articles

Video Experimental Relacionado

Updated: Feb 24, 2026

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions

Published on: May 27, 2021

Exploración y Comparación de Bases de Datos de Productos Naturales Existentes para la Investigación en Salud Integral

Xiaoyi Chen¹, Meijia Song², Yu Hou¹

¹Division of Computational Health Sciences, Department of Surgery, University of Minnesota, Minneapolis, MN, United States.

AMIA ... Annual Symposium proceedings. AMIA Symposium

|February 23, 2026

Resumen

Este resumen es generado por máquina.

Las bases de datos de productos naturales (PN) como COCONUT, NP-MRD y GSRS están fragmentadas, lo que dificulta la investigación en salud integral. Se necesita una mayor integración para desbloquear todo el potencial de estos vitales recursos de descubrimiento de fármacos.

Palabras clave:

productos naturales descubrimiento de fármacos bases de datos salud integral interoperabilidad armonización de datos

Más Videos Relacionados

Author Spotlight: Network Pharmacology and Molecular Docking to Decipher the Action of Jiawei Shengjiang San Against Diabetic Kidney Disease

Author Spotlight: Network Pharmacology and Molecular Docking to Decipher the Action of Jiawei Shengjiang San Against Diabetic Kidney Disease

Published on: May 10, 2024

Mass Spectrometry-Guided Genome Mining as a Tool to Uncover Novel Natural Products

Mass Spectrometry-Guided Genome Mining as a Tool to Uncover Novel Natural Products

Published on: March 12, 2020

Videos de Experimentos Relacionados

Last Updated: Feb 24, 2026

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions

A Data Integration Workflow to Identify Drug Combinations Targeting Synthetic Lethal Interactions

Published on: May 27, 2021

Author Spotlight: Network Pharmacology and Molecular Docking to Decipher the Action of Jiawei Shengjiang San Against Diabetic Kidney Disease

Author Spotlight: Network Pharmacology and Molecular Docking to Decipher the Action of Jiawei Shengjiang San Against Diabetic Kidney Disease

Published on: May 10, 2024

Mass Spectrometry-Guided Genome Mining as a Tool to Uncover Novel Natural Products

Mass Spectrometry-Guided Genome Mining as a Tool to Uncover Novel Natural Products

Published on: March 12, 2020

Área de la Ciencia:

Descubrimiento y desarrollo de fármacos
Química medicinal
Biología química

Sus antecedentes:

Los productos naturales (PN) son cruciales en el descubrimiento de fármacos, pero los datos están fragmentados en varias bases de datos.
Esta fragmentación limita el análisis integral para la investigación en salud integral.
Las bases de datos de PN existentes carecen de interoperabilidad, lo que dificulta la obtención de información basada en datos.

Objetivo del estudio:

Comparar tres bases de datos principales de productos naturales: COCONUT, NP-MRD y GSRS.
Evaluar su alcance, representación estructural, completitud de metadatos y accesibilidad.
Identificar lagunas y oportunidades para mejorar la integración de bases de datos de PN.

Principales métodos:

Análisis comparativo de COCONUT, NP-MRD y GSRS.
Evaluación del contenido de la base de datos, incluida la diversidad química, los datos espectrales y la información regulatoria.
Evaluación de la accesibilidad e interoperabilidad de los datos.

Principales resultados:

COCONUT destaca por su diversidad química, NP-MRD por sus propiedades espectrales/físicas y GSRS por su clasificación regulatoria.
La superposición entre las bases de datos es limitada, lo que indica una redundancia y lagunas significativas en los datos.
Existen lagunas sustanciales en la integración de información médica y farmacéutica dentro de estas bases de datos de PN.

Conclusiones:

Las bases de datos de PN actuales son insuficientes para una investigación integral en salud integral debido a la fragmentación.
La mejora de la interoperabilidad y la armonización de datos son fundamentales para avanzar en los modelos computacionales en la investigación de productos naturales.
El desarrollo de recursos integrados de PN es esencial para apoyar el descubrimiento de fármacos basado en datos y la química medicinal.