神经网络推断到蛋白质适应性景观的遥远区域
Sarah A Fahlberg1, Chase R Freschlin1, Pete Heinzelman1
1Department of Biochemistry, University of Wisconsin-Madison, Madison, WI, USA.
bioRxiv : the preprint server for biology
|November 21, 2023
概括
蛋白质设计的机器学习模型显示出不同的推断能力. 简单的模型发现高适应性蛋白质,而复杂的模型可以设计非功能性蛋白质.
科学领域:
- 生物化学 生物化学
- 计算生物学 计算生物学
- 机器学习 机器学习
背景情况:
- 机器学习 (ML) 通过建模蛋白质序列功能格局来加速生物分子的发现.
- 准确预测远距离的健康峰值对于ML引导的蛋白质设计至关重要,需要在局部序列功能数据上训练的模型才能有效地推断.
结论:
- 每个神经网络架构的诱导偏差都会影响他们对蛋白质健身格局的学习.
- 模型架构的选择显著影响了ML指导蛋白质设计的成功和性质,影响了推断精度和功能结果.
更多相关视频
06:50Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
Published on: January 26, 2024
1.9K
15:00Daily Transfers, Archiving Populations, and Measuring Fitness in the Long-Term Evolution Experiment with Escherichia coli
Published on: August 18, 2023
3.3K
相关概念视频
Protein Networks
4.0K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.0K
Conservation of Protein Domains Over Different Proteins
10.9K
Protein domains are small structurally independent units that are part of a single amino acid chain. Although these domains are often structurally independent, they may rely on synergistic effects to perform their functions as part of a larger protein. Protein domains may be conserved within the same organism, as well as across different organisms.
A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to...
A limited set of protein domains often duplicate and recombine during evolution. These domains can be organized in different combinations to...
10.9K
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
Physiological Pharmacokinetic Models: Assumption with Protein Binding
47
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...
47
Gene Evolution - Fast or Slow?
7.1K
The genomes of eukaryotes are punctuated by long stretches of sequence which do not code for proteins or RNAs. Although some of these regions do contain crucial regulatory sequences, the vast majority of this DNA serves no known function. Typically, these regions of the genome are the ones in which the fastest change, in evolutionary terms, is observed, because there is typically little to no selection pressure acting on these regions to preserve their sequences.
In contrast, regions which code...
In contrast, regions which code...
7.1K
Conservation of Protein Domains
3.1K
3.1K
