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相关概念视频

Gene Evolution - Fast or Slow?02:05

Gene Evolution - Fast or Slow?

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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...
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Mutations

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Overview
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Mutations01:35

Mutations

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Mutations are changes in the sequence of DNA. These changes can occur spontaneously or they can be induced by exposure to environmental factors. Mutations can be characterized in a number of different ways: whether and how they alter the amino acid sequence of the protein, whether they occur over a small or large area of DNA, and whether they occur in somatic cells or germline cells.
Chromosomal Alterations Are Large-Scale Mutations
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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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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.
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Mutations in Microorganisms

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Mutations are heritable changes in an organism’s genome involving alterations in the base sequence of DNA or RNA. These changes can influence cellular processes and phenotypic traits, potentially transforming the unaltered wild type into a mutant form. Such changes, termed forward mutations, are pivotal in shaping the genetic diversity of organisms.RNA viruses exhibit the highest mutation rates due to the absence of robust proofreading mechanisms during genome replication. In contrast,...
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Implementation of In Vitro Drug Resistance Assays: Maximizing the Potential for Uncovering Clinically Relevant Resistance Mechanisms
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解锁蛋白质进化见解:使用GEMME进行高效和可解释的突变效应预测.

A Carbone1,2, E Laine3,4, G Lombardi3

  • 1Sorbonne Université, CNRS, IBPS, Computational, Quantitative and Synthetic Biology Department - UMR 7238, Paris, France. alessandra.carbone@lip6.fr.

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概括

预测突变效应的全球表观模型 (GEMME) 从序列数据重建了蛋白质景观. 最近的进展提高了它的准确性和应用,为蛋白质进化和功能提供了更深入的见解.

关键词:
进化 进化 进化 进化 进化 进化 进化突变突变是一种突变.突变效应的影响.蛋白质蛋白质是一种蛋白质.序列 序列是指一个序列.

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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.
  • 进化生物学是进化的生物学.

背景情况:

  • 预测突变效应的全球表观模型 (GEMME) 是一种计算工具.
  • 目前,GEMME仅使用序列数据重建蛋白质突变景观.

研究的目的:

  • 为了探索更广泛的生物问题,GEMME可以解决超出景观重建的范围.
  • 引导用户最大限度地利用GEMME的实用性.
  • 介绍最近的进展,提高GEMME的预测准确性和能力.

主要方法:

  • 使用序列数据进行蛋白质突变景观重建.
  • 整合结构和等位基因频率数据与序列数据.
  • 提供示例来展示GEMME的应用.

主要成果:

  • GEMME可以解决比以前认可的更广泛的生物问题.
  • 最近的进展提高了GEMME的预测准确度.
  • 多种数据类型的整合扩大了GEMME的分析能力.

结论:

  • GEMME提供了对蛋白质进化和功能更深入的见解.
  • 增强的GEMME版本可以回答新的生物学问题.
  • 该方法对计算生物学和蛋白质工程中的各种应用非常有价值.