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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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For any given polymer, the weight average molecular weight (Mw) is higher than, if not equal to, the number average molecular weight (Mn). The only situation in which the weight average molecular weight and the number average molecular weight are equal is when a polymer consists only of chains with equal molecular weight. However, this never happens in a synthetic polymer, since it is difficult to control the polymerization process up to a molecular level with accuracy to a hundred percent.
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PyCoM:一个用于大规模分析残留物-残留物共演变数据的 Python 库.

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概括
此摘要是机器生成的。

一个新的Python库,PyCoM,可以访问蛋白质共进化矩阵和对齐的数据库. 该工具为蛋白质结构和功能的研究提供了残留共进化模式的大规模分析.

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科学领域:

  • 计算生物学是一种计算生物学.
  • 生物信息学是一种生物信息学.
  • 结构生物学是结构生物学.

背景情况:

  • 检测相关氨基酸位置的计算方法对于预测蛋白质接触,结构和突变效应至关重要.
  • 现有的共同进化评分工具缺乏集中的存储库,用于集成生物和结构注释的大规模研究.

研究的目的:

  • 介绍PyCoM,这是一个Python库和数据库,用于查询和分析蛋白质共同进化矩阵和序列对齐.
  • 为大规模的共同进化分析提供一个集中资源,利用UniProtKB/Swiss-Prot注释.

主要方法:

  • 开发了PyCoM,这是一个Python库,用于访问一个预编译的数据库 (PyCoMdb) 的共进化矩阵和序列对齐超过457,000种蛋白质.
  • 来自UniProtKB/Swiss-Prot. 的生物和结构注释的集成过器.
  • 支持通过Jupyter笔记本,Python脚本和Web API访问.

主要成果:

  • PyCoM 能够有效地查询和分析大量蛋白质组 (≤ 500 个残留物) 的共同进化数据.
  • 使用丰富的生物背景,促进对残留物共进化模式的统计分析.
  • 为初学者和高级用户提供可访问的数据.

结论:

  • 对于科学界来说,PyCoM是一个有价值的开源资源.
  • 它支持开发数据驱动的计算模型,以了解蛋白质结构,稳定性,功能和设计.
  • 通过集中数据和分析工具来增强大规模的共同进化研究.