通过当前的深度学习模型来预测激酶抑制剂的结合性亲缘关系的不良概括
Wern Juin Gabriel Ong1,2, Palani Kirubakaran1, John Karanicolas1
1Cancer Signaling & Microenvironment Program, Fox Chase Cancer Center, Philadelphia, PA 19111.
bioRxiv : the preprint server for biology
|September 21, 2023
概括
卷积神经网络 (CNN) 在预测药物受体结合亲缘关系方面表现有前途. 然而,目前的模型表现出显著的数据泄漏,未能对新数据进行概括,并且在更简单的方法上没有优势.
科学领域:
- 计算化学是一种计算化学.
- 药物发现 药物发现
- 在药理学中的机器学习.
背景情况:
- 神经网络越来越多地用于预测药物受体结合亲缘关系,可能加速药物发现.
- 使用蛋白激酶序列和SMILES字符串的现有模型报告了准确的定量抑制预测.
- 人们仍然担心这些神经网络模型对新型,未见过的数据的概括性.
结论:
- 观察到的缺乏概括性表明,当前的CNN模型并没有真正学习用于结合亲和力预测的分子相互作用.
- 信息泄露,特别是当数据未被适当分离时,会使绩效指标膨胀.
- 更丰富的,基于结构的分子编码对于开发能够可靠地预测新药候选物的模型是必要的.
相关概念视频
Conserved Binding Sites
4.2K
Many proteins’ biological role depends on their interactions with their ligands, small molecules that bind to specific locations on the protein known as ligand-binding sites. Ligand-binding sites are often conserved among homologous proteins as these sites are critical for protein function.
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...
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...
4.2K
Ligand Binding Sites
12.9K
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...
12.9K
Protein-protein Interfaces
12.5K
Many proteins form complexes to carry out their functions, making protein-protein interactions (PPIs) essential for an organism's survival. Most PPIs are stabilized by numerous weak noncovalent chemical forces. The physical shape of the interfaces determines the way two proteins interact. Many globular proteins have closely-matching shapes on their surfaces, which form a large number of weak bonds. Additionally, many PPIs occur between two helices or between a surface cleft and a...
12.5K
Physiological Pharmacokinetic Models: Assumption with Protein Binding
63
Physiological models with protein binding in pharmacokinetics offer a sophisticated approach to understanding drug disposition. These models consider drug-protein interactions, enabling them to effectively predict drug concentrations in different organs and tissues. This precision aids in accurate drug dosing, providing a significant advantage over conventional models. A key process within these models is equilibration, which ensures that drug concentrations achieve a steady state within the...
63
The Equilibrium Binding Constant and Binding Strength
13.0K
The equilibrium binding constant (Kb) quantifies the strength of a protein-ligand interaction. Kb can be calculated as follows when the reaction is at equilibrium:
13.0K
Protein-Drug Binding: Mechanism and Kinetics
561
Protein-drug binding refers to the interaction between drugs and proteins within the body. This binding process can occur intracellularly, involving drug interactions with enzymes or receptors within cells, or extracellularly, involving plasma proteins in the blood.
Various forces drive these interactions, including hydrogen bonds, hydrophobic interactions, ionic bonds, electrostatic interactions, and van der Waals forces. These bonds enable drugs to bind to specific sites on proteins,...
Various forces drive these interactions, including hydrogen bonds, hydrophobic interactions, ionic bonds, electrostatic interactions, and van der Waals forces. These bonds enable drugs to bind to specific sites on proteins,...
561


