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相关概念视频

Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.7K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
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Protein-protein Interfaces02:04

Protein-protein Interfaces

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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...
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Conserved Binding Sites01:49

Conserved Binding Sites

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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...
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相关实验视频

Updated: Jul 5, 2025

Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules
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Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

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基于深度学习的蛋白质序列设计方法的多指标比较评估.

Jinyu Yu1, Junxi Mu1, Ting Wei1

  • 1State Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, Department of Bioinformatics and Biostatistics, National Experimental Teaching Center for Life Sciences and Biotechnology, School of Life Sciences and Biotechnology, Shanghai Center for Systems Biomedicine, Shanghai Jiao Tong University, Shanghai 200240, China.

Bioinformatics (Oxford, England)
|January 23, 2024
PubMed
概括
此摘要是机器生成的。

本研究介绍了深度学习蛋白序列设计方法的综合评估系统. 它列出了八种方法,并提供了优化策略,以指导用户选择有效的蛋白质设计工具.

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Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
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Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
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Protein WISDOM: A Workbench for In silico De novo Design of BioMolecules

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Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
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科学领域:

  • 计算生物学是一种计算生物学.
  • 蛋白质工程是一种蛋白质工程.
  • 生物信息学是一种生物信息学.

背景情况:

  • 自然中的蛋白质是可能的蛋白质的一小部分.
  • 蛋白质设计,特别是序列设计,是探索新型蛋白质功能的关键.
  • 深度学习方法有先进的蛋白质序列设计,但缺乏系统的评估.

研究的目的:

  • 开发基于深度学习的蛋白质序列设计方法的综合评估系统.
  • 系统地比较和排名现有的蛋白质序列设计工具.
  • 为改善蛋白质设计方法提供优化建议.

主要方法:

  • 开发了多种指标:序列恢复,多样性,结构偏差,二次结构和氨基酸分布.
  • 应用了一种改进的加权劣势-优越距离方法来进行绩效评估.
  • 评估了八种主要的基于深度学习的蛋白质序列设计方法.

主要成果:

  • 提供了八种深度学习蛋白序列设计方法的全面性能排名.
  • 确定了每个方法的优缺点,并提出了具体的优化建议.
  • 开发了一种最佳温度参数选择的方法,并解决了重复的氨基酸设计问题.

结论:

  • 开发的评估系统有助于用户选择适当的蛋白质序列设计方法.
  • 这项工作通过系统的评估和优化洞察力增强了蛋白质序列设计领域.
  • 这些发现有助于探索自然存在的蛋白质之外的广蛋白质序列空间.