SoDCoD: a comprehensive database of Cu/Zn superoxide dismutase conformational diversity caused by ALS-linked gene mutations and other perturbations.

IF 3.4 4区生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY Database: The Journal of Biological Databases and Curation Pub Date : 2024-08-08 DOI:10.1093/database/baae064

Riko Tabuchi, Yurika Momozawa, Yuki Hayashi, Hisashi Noma, Hidenori Ichijo, Takao Fujisawa

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Abstract

A structural alteration in copper/zinc superoxide dismutase (SOD1) is one of the common features caused by amyotrophic lateral sclerosis (ALS)-linked mutations. Although a large number of SOD1 variants have been reported in ALS patients, the detailed structural properties of each variant are not well summarized. We present SoDCoD, a database of superoxide dismutase conformational diversity, collecting our comprehensive biochemical analyses of the structural changes in SOD1 caused by ALS-linked gene mutations and other perturbations. SoDCoD version 1.0 contains information about the properties of 188 types of SOD1 mutants, including structural changes and their binding to Derlin-1, as well as a set of genes contributing to the proteostasis of mutant-like wild-type SOD1. This database provides valuable insights into the diagnosis and treatment of ALS, particularly by targeting conformational alterations in SOD1. Database URL: https://fujisawagroup.github.io/SoDCoDweb/.

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SoDCoD：由 ALS 相关基因突变和其他扰动引起的 Cu/Zn 超氧化物歧化酶构象多样性综合数据库。

铜/锌超氧化物歧化酶（SOD1）的结构改变是肌萎缩性脊髓侧索硬化症（ALS）相关突变引起的常见特征之一。虽然 ALS 患者中出现了大量 SOD1 变体，但对每种变体的详细结构特性却没有很好的总结。我们介绍了超氧化物歧化酶构象多样性数据库 SoDCoD，该数据库收集了我们对与 ALS 相关的基因突变和其他扰动引起的 SOD1 结构变化所做的全面生化分析。SoDCoD 1.0 版包含 188 种 SOD1 突变体的特性信息，包括结构变化及其与 Derlin-1 的结合，以及一组有助于突变型野生型 SOD1 蛋白稳定的基因。该数据库为 ALS 的诊断和治疗提供了有价值的见解，特别是通过靶向 SOD1 的构象改变。数据库网址：https://fujisawagroup.github.io/SoDCoDweb/。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Database: The Journal of Biological Databases and Curation MATHEMATICAL & COMPUTATIONAL BIOLOGY-

CiteScore

9.00

自引率

3.40%

发文量

100

审稿时长

>12 weeks

期刊介绍： Huge volumes of primary data are archived in numerous open-access databases, and with new generation technologies becoming more common in laboratories, large datasets will become even more prevalent. The archiving, curation, analysis and interpretation of all of these data are a challenge. Database development and biocuration are at the forefront of the endeavor to make sense of this mounting deluge of data. Database: The Journal of Biological Databases and Curation provides an open access platform for the presentation of novel ideas in database research and biocuration, and aims to help strengthen the bridge between database developers, curators, and users.