DTAP:一个统一的图形转换器框架,用于共同预测药物向亲和力和对接姿势
Junxi Liu1,2,3, Yulian Ding4, Yan Yan3
1Southern University of Science and Technology, Shenzhen 518055, China.
Briefings in bioinformatics
|February 16, 2026
概括
DTAP是一种用于预测药物向相互作用的新框架,同时评估结合亲和力和对接姿势质量. 它通过使用大型预训练模型和3D结构数据来增强通用性,优于现有方法.
科学领域:
- 计算化学是一种计算化学.
- 药物发现 药物发现
- 机器学习 机器学习
背景情况:
- 预测药物向相互作用 (DTI) 对药物发现至关重要.
- 目前用于DTI的机器学习模型通常专注于单个任务 (绑定亲和力或对接姿势) 并缺乏通用性.
- 现有的模型经常忽略了分子和蛋白质的关键3D结构信息.
研究的目的:
- 引入DTAP,一个统一的框架,同时预测对接质量和药物标结合亲和力.
- 通过利用预训练的大型模型和3D结构数据,提高DTI预测模型的通用性.
- 为了实现跨任务知识转移,以提高DTI预测.
主要方法:
- DTAP使用预训练的大型模型从未标记的数据中学习上下文表示,从而提高了概括性.
- 该框架包含分子和蛋白质的3D结构数据,使用图形转换器进行联合表示学习.
- 一个共享的潜伏向量和特定任务的解码器促进了结合亲和和对接构成预测任务之间的知识传输.
主要成果:
- 与最先进的方法相比,DTAP在预测对接姿势和结合亲和力方面表现出卓越的性能.
- 该模型显示了增强的通用性,特别是在具有有限标记数据的冷启动场景中.
- 解释性分析证实了DTAP能够专注于关键结合点的能力.
结论:
- DTAP提供了一种统一而实用的方法,可以同时预测药物标结合亲和力和对接姿势质量.
- 该框架整合了大型预训练模型和3D结构数据,大大提高了预测准确性和通用性.
- 对于加速药物发现和开发,DTAP是一个宝贵的进步.
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
3.8K
10:29Quantitative Structure-Activity Relationship, Activity Prediction, and Molecular Dynamics of Non-nucleotide Reverse Transcriptase Inhibitors
Published on: May 9, 2025
2.4K
相关概念视频
Predicting Molecular Geometry
46.2K
VSEPR Theory for Determination of Electron Pair Geometries
46.2K
Targets for Drug Action: Overview
10.6K
Drugs target macromolecules to modify ongoing cellular processes. Primary drug targets include receptors, ion channels, transporters, and enzymes.
Receptors are either membrane-spanning or intracellular proteins, which upon binding a ligand, get activated and transmit the signal downstream to elicit a response. Drugs bind receptors, either mimicking the action of endogenous ligands or blocking the receptor activity to bring about a modified response. Nearly 35% of approved drugs target the G...
Receptors are either membrane-spanning or intracellular proteins, which upon binding a ligand, get activated and transmit the signal downstream to elicit a response. Drugs bind receptors, either mimicking the action of endogenous ligands or blocking the receptor activity to bring about a modified response. Nearly 35% of approved drugs target the G...
10.6K
Drug-Receptor Bonds
4.9K
Drug-receptor bonds are formed through various chemical forces when drugs interact with target cells. Covalent bonds, strong and irreversible, are exemplified by DNA-alkylating anticancer agents that inhibit cell division. However, such irreversible drug binding lacks selectivity and can modify the DNA of the surrounding healthy cells. Covalent binding often contributes to tissue toxicity, as seen with chloroform and paracetamol metabolites binding to the liver, causing hepatotoxicity.
In...
In...
4.9K
Ligand Binding Sites
15.3K
Proteins are dynamic macromolecules that carry out a wide variety of essential processes; however, the activities of most proteins depend on their interactions with other molecules or ions, known as ligands.
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...
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...
15.3K
Ligand Binding Sites
8.9K
8.9K
Quantitative Aspects of Drug-Receptor Interaction
1.8K
The receptor occupancy theory connects a drug's response to the number of occupied receptors. With higher drug concentrations, more receptors are occupied, leading to increased responses. The formation of drug-receptor complexes involves association and dissociation rates, which reach equilibrium when the forward and backward reactions are equal. The equilibrium association constant (Ka) and its inverse, the equilibrium dissociation constant (Kd), indicate drug affinity. Higher Ka and lower...
1.8K
