LICEDB: light industrial core enzyme database for industrial applications and AI enzyme design.

IF 3.4 4区 生物学 Q1 MATHEMATICAL & COMPUTATIONAL BIOLOGY
Lei Gong, Fufeng Liu, Chuanxi Zhang, Yongfan Ming, Yulan Mou, ZhaoTing Yuan, Haiming Jiang, Bei Gao, Fuping Lu, Lujia Zhang
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引用次数: 0

Abstract

Enzymes, serving as eco-friendly catalysts, are progressively supplanting traditional chemical catalysts in light industry sectors such as feed, papermaking, textiles, detergents, leather, and sugar production. Despite this advancement, the variability in the performance of natural enzymes and the fragmentation and diversity of existing data formats pose significant challenges to researchers. Furthermore, AI-driven enzyme design is limited by the quality and quantity of available data. To address these issues, we introduce the light industrial core enzyme database (LICEDB), the first database dedicated exclusively to managing and standardizing enzymes for light industry applications. LICEDB, with its integrated modules for data retrieval, similarity analysis, and structural analysis, will enhance the efficient industrial application of enzymes and strengthen AI-driven predictive research, thereby advancing data sharing and utilization in the field of enzyme innovation. Database URL: http://lujialab.org.cn/on-line-databases/.

LICEDB:用于工业应用和AI酶设计的轻工业核心酶数据库。
酶作为环保催化剂,在饲料、造纸、纺织、洗涤剂、皮革和制糖等轻工业领域正逐步取代传统的化学催化剂。尽管取得了这一进展,但天然酶性能的可变性以及现有数据格式的碎片化和多样性给研究人员带来了重大挑战。此外,人工智能驱动的酶设计受到可用数据的质量和数量的限制。为了解决这些问题,我们推出了轻工业核心酶数据库(LICEDB),这是第一个专门用于管理和标准化轻工业应用酶的数据库。LICEDB集成了数据检索、相似度分析和结构分析等模块,将提高酶的高效工业应用,加强ai驱动的预测研究,从而促进酶创新领域的数据共享和利用。数据库地址:http://lujialab.org.cn/on-line-databases/。
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来源期刊
Database: The Journal of Biological Databases and Curation
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.
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