pLM4Alg:基于蛋白质语言模型的预测器,用于过敏性蛋白质和
Zhenjiao Du1, Yixiang Xu2, Changqi Liu3
1Department of Grain Science and Industry, Kansas State University, Manhattan, Kansas 66506, United States.
Journal of agricultural and food chemistry
|December 19, 2023
概括
新的机器学习模型可以高准确度地预测过敏原蛋白和. 这种生物信息学工具通过改善过敏原识别和降低实验成本来加速过敏研究.
科学领域:
- 生物信息学是一种生物信息学.
- 计算生物学 计算生物学
- 过敏研究 研究过敏
背景情况:
- 过敏的流行需要先进的生物信息学工具来识别过敏原.
- 预训练的蛋白质语言模型 (pLMs) 在预测蛋白质结构和功能方面表现有前途.
- 现有的pLM尚未应用于过敏原蛋白或预测.
研究的目的:
- 使用pLMs开发可靠的模型来预测过敏原蛋白/.
- 通过对卷积神经网络进行微调来评估模型性能.
- 引入一个用户友好的Web服务器,以实现可访问的预测.
主要方法:
- 使用了五种不同大小的预训练蛋白语言模型 (pLM).
- 微调的pLMs具有卷积神经网络,用于过敏原预测.
- 使用精度,MCC和AUC指标评估模型性能.
主要成果:
- 达到最先进的性能与准确性 (93.4-95.1%),MCC (0.869-0.902) 和AUC (0.981-0.990).
- pLM4Alg模型展示了处理残留遗漏和非标准氨基酸序列的能力.
- 建立了一个用户友好的Web服务器,供公众访问.
结论:
- pLM4Alg代表了基于机器学习的过敏原预测的重大进步.
- 预计这些模型将成为识别过敏原和蛋白质的领先工具.
- 与其他预测因素的整合可以进一步加速过敏研究.
相关概念视频
Cross-reactivity
31.1K
Overview
31.1K
Antigens Involved in Adaptive Immunity
501
An antigen is any substance the immune system identifies as foreign and potentially harmful to the body, prompting an immune response. Antigens have two functional properties: immunogenicity and reactivity. Immunogenicity is the ability of an antigen to stimulate a specific immune response. At the same time, reactivity describes the antigen's ability to react with the cells and antibodies produced in response to it.
Complete Antigens
Complete antigens possess both immunogenicity and...
Complete Antigens
Complete antigens possess both immunogenicity and...
501
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
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
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
Protein Families
15.4K
Protein families are groups of homologous proteins; that is, they have similarities in amino acid sequences and three-dimensional structures. Protein families usually occur because of gene duplication, where an additional copy of a gene is inserted into the genome of an organism. Mutations that change the amino acids but still allow the protein to be properly synthesized, will lead to new protein family members. If these new proteins contain similar amino acids in key...
15.4K


