相关实验视频

Updated: Jun 8, 2025

Isolation of Next-Generation Gene Therapy Vectors through Engineering, Barcoding, and Screening of Adeno-Associated Virus AAV Capsid Variants

Isolation of Next-Generation Gene Therapy Vectors through Engineering, Barcoding, and Screening of Adeno-Associated Virus AAV Capsid Variants

Published on: October 18, 2022

通过使用CVAE生成模型,在多个治疗标中增强De Novo药物设计

Virgilio Romanelli¹, Daniela Annunziata², Carmen Cerchia¹

¹Department of Pharmacy, "Drug Discovery Laboratory", University of Naples Federico II, Naples 80131, Italy.

|November 4, 2024

概括

这项研究引入了用于加速新药设计的深度学习模型,生成具有治疗标所需特性的新分子. 条件变异自编码器 (CVAE) 模型提高了药物发现的效率和结构多样性.

科学领域:

计算化学是一种计算化学.
人工智能在药物发现中的作用
分子建模分子建模

背景情况:

药物发现是一个漫长而昂贵的过程.
深度学习 (DL) 和生成模型为加速药物设计提供了有希望的解决方案.
探索广的化学空间对于识别新药候选药物至关重要.

研究的目的:

为新的分子设计引入条件变异自编码器 (CVAE) 生成模型.
使用SMILES和SELFIES分子表示来增强分子生成.
为了产生具有特定性质配置的分子,用于治疗应用.

主要方法:

开发了一个CVAE生成模型,用于新的药物设计.
雇员微笑和自拍用于分子表示.
使用以下指标验证生成的分子:独特性,有效性,新性,QED和SA.
对三个治疗点进行模型性能评估:CDK2,PPARγ和DPP-IV.

主要成果:

该CVAE模型成功地产生了有效,独特和新的分子,具有所需的类似药物的特性.
生成的分子显示了结合CDK2,PPARγ和DPP-IV标的潜力.
与最先进的方法相比,该模型实现了更高的结构多样性.
保持了与训练数据集一致的分子性质范围.

结论:

拟议的CVAE模型是加速de novo分子设计的有效工具.
这种计算框架提高了药物发现管道的效率和多样性.
该模型为生成具有特定治疗特征的新药候选药物提供了宝贵的资源.

更多相关视频

Engineering and Evolution of Synthetic Adeno-Associated Virus AAV Gene Therapy Vectors via DNA Family Shuffling

Engineering and Evolution of Synthetic Adeno-Associated Virus AAV Gene Therapy Vectors via DNA Family Shuffling

Published on: April 2, 2012

In Vitro Three-Dimensional Sprouting Assay of Angiogenesis Using Mouse Embryonic Stem Cells for Vascular Disease Modeling and Drug Testing

In Vitro Three-Dimensional Sprouting Assay of Angiogenesis Using Mouse Embryonic Stem Cells for Vascular Disease Modeling and Drug Testing

Published on: May 11, 2021

相关概念视频

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...