dRama: Differential Ramachandran Plot as a Tool to Analyze Subtle Changes in Protein Secondary Structure.

IF 2.1 4区 生物学 Q3 BIOCHEMICAL RESEARCH METHODS PROTEOMICS – Clinical Applications Pub Date : 2025-01-01 Epub Date: 2024-11-24 DOI:10.1002/prca.202400087
Piotr Batys, Leszek Krzemień, Jakub Barbasz
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Abstract

Determination of the changes in protein structure is crucial for a better understanding of their function and properties, which is highly important in identifying the causes of the disease, new drug development, and clinical applications. The Ramachandran plot, displaying the set of torsional angles, phi (Φ) and psi (Ψ), of the protein backbone, serves as a popular and convenient tool for secondary structure analysis and interpretation. However, identifying subtle changes in protein structure is often hindered in traditional Ramachandran plot, especially with the large amount of data generated by molecular dynamics (MD) simulations. In this paper, we proposed a useful and efficient tool, that is, differential Ramachandran plot (dRama), which enables to compare protein structures and extract the differences, providing a highly readable graphical representation. dRama is available at: https://github.com/MaksWolf44/dRama.

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dRama:作为分析蛋白质二级结构微妙变化工具的差分拉马钱德兰图。
确定蛋白质结构的变化对于更好地了解其功能和特性至关重要,这对于确定疾病原因、新药开发和临床应用都非常重要。拉马钱德兰图显示了蛋白质骨架的一组扭转角 phi (Φ) 和 psi (Ψ) ,是二级结构分析和解释的常用便捷工具。然而,传统的拉马钱德兰图往往无法识别蛋白质结构的微妙变化,尤其是在分子动力学(MD)模拟产生大量数据的情况下。在本文中,我们提出了一种有用而高效的工具,即微分拉马钱德兰图(dRama),它可以比较蛋白质结构并提取差异,提供一种可读性很高的图形表示。dRama 可在以下网址获取:https://github.com/MaksWolf44/dRama。
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来源期刊
PROTEOMICS – Clinical Applications
PROTEOMICS – Clinical Applications 医学-生化研究方法
CiteScore
5.20
自引率
5.00%
发文量
50
审稿时长
1 months
期刊介绍: PROTEOMICS - Clinical Applications has developed into a key source of information in the field of applying proteomics to the study of human disease and translation to the clinic. With 12 issues per year, the journal will publish papers in all relevant areas including: -basic proteomic research designed to further understand the molecular mechanisms underlying dysfunction in human disease -the results of proteomic studies dedicated to the discovery and validation of diagnostic and prognostic disease biomarkers -the use of proteomics for the discovery of novel drug targets -the application of proteomics in the drug development pipeline -the use of proteomics as a component of clinical trials.
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