D3CARP:一个全面的平台,具有基于多重配置的对接,连接体相似性搜索和深度学习方法,用于目标预测和虚拟选
Yulong Shi1, Xinben Zhang2, Yanqing Yang1
1State Key Laboratory of Drug Research; Drug Discovery and Design Center, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai 201203, China; School of Pharmacy, University of Chinese Academy of Sciences, Beijing 100049, China.
一个新的网络服务器,D3CARP,集成了多种计算方法,用于准确的药物向相互作用 (DTI) 预测和虚拟查. 这个平台通过提供可靠的预测和多样化的功能来增强药物发现.
科学领域:
- 计算化学是一种计算化学.
- 生物信息学是一种生物信息学.
- 药物发现 药物发现
背景情况:
- 传统的药物发现主要依赖于资源密集型实验.
- 现有的用于药物向相互作用 (DTI) 预测的计算工具通常在规模,方法或可用性方面受到限制.
- 需要一个全面和可靠的平台来进行DTI预测.
研究的目的:
- 开发一个全面的网络服务器,D3CARP,用于增强药物向相互作用预测和虚拟查.
- 整合多种计算方法,以提高预测准确性和可靠性.
- 为药物发现研究提供一个用户友好的平台.
主要方法:
- 基于多重构造的分子对接的整合.
- 2D/3D连接物相似性搜索的应用.
- 利用深度学习算法进行DTI预测.
- 包括阳性对照作为参考和有关疾病的注释.
主要成果:
- 分子对接实现了0.44.4的精度.
- 深度学习方法表现出0.89.9的高精度.
- 连接物相似性搜索的平均准确率为0.94.
- D3CARP平台支持多种计算方法和交叉验证.
结论:
- D3CARP为药物向相互作用预测和虚拟查提供了一个强大的多功能平台.
- 多种不同的计算方法的整合提高了DTI预测的可靠性和适用性.
- D3CARP是免费访问的,对于加速药物发现管道而言非常有价值.
更多相关视频
10:21Author Spotlight: Streamlining Protein Target Prediction and Validation via Molecular Docking and CETSA
Published on: February 23, 2024
05:08Application of I TASSER, trRosetta, UCSF Chimera, HADDOCK server, and HEX loria for De Novo and In Silico Design of Proteins
Published on: July 8, 2025
相关概念视频
Ligand Binding Sites
Protein-ligand interactions are quite specific; even though numerous potential ligands surround a cellular protein at any given time, only a particular ligand can bind to that protein. Moreover, a ligand binds only to a dedicated area on the surface of the protein, known as the...
Conserved Binding Sites
Binding sites are often located in large pockets, and if their location on a protein’s surface is unknown, it can be predicted using various approaches. The energetic method computationally...
Ligand Binding and Linkage
Protein-protein Interfaces
