Peptides have attracted attention during the last decades due to their extraordinary therapeutic properties. Different computational tools have been developed to take advantage of existing information, compiling knowledge and making available the information for common users. Nevertheless, most related tools available are not user-friendly, present redundant information, do not clearly display the data, and usually are specific for particular biological activities, not existing so far, an integrated database with consolidated information to help research peptide sequences. To solve these necessities, we developed Peptipedia, a user-friendly web application and comprehensive database to search, characterize and analyse peptide sequences. Our tool integrates the information from 30 previously reported databases with a total of 92 055 amino acid sequences, making it the biggest repository of peptides with recorded activities to date. Furthermore, we make available a variety of bioinformatics services and statistical modules to increase our tool’s usability. Moreover, we incorporated a robust assembled binary classification system to predict putative biological activities for peptide sequences. Our tools’ significant differences with other existing alternatives become a substantial contribution for developing biotechnological and bioengineering applications for peptides. Peptipedia is available for non-commercial use as an open-access software, licensed under the GNU General Public License, version GPL 3.0. The web platform is publicly available at peptipedia.cl. Database URL: Both the source code and sample data sets are available in the GitHub repository https://github.com/ProteinEngineering-PESB2/peptipedia

中文翻译：

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Peptipedia：一个用户友好的网络应用程序和一个由机器学习方法支持的肽研究综合数据库

在过去的几十年中，肽因其非凡的治疗特性而引起了人们的关注。已经开发了不同的计算工具来利用现有信息、编译知识并使普通用户可以使用这些信息。然而，大多数可用的相关工具对用户不友好，存在冗余信息，不能清楚地显示数据，并且通常针对特定的生物活动，目前尚不存在具有整合信息的集成数据库以帮助研究肽序列。为了解决这些问题，我们开发了 Peptipedia，这是一个用户友好的网络应用程序和综合数据库，用于搜索、表征和分析肽序列。我们的工具整合了来自 30 个先前报告的数据库的信息以及总共 92 055 个氨基酸序列，使其成为迄今为止记录活性的最大肽库。此外，我们提供各种生物信息学服务和统计模块，以提高我们工具的可用性。此外，我们结合了一个强大的组装二元分类系统来预测肽序列的推定生物活性。我们的工具与其他现有替代品的显着差异为开发肽的生物技术和生物工程应用做出了重大贡献。Peptipedia 可作为开放访问软件用于非商业用途，根据 GNU 通用公共许可证 GPL 3.0 版获得许可。该网络平台可在 peptipedia.cl 上公开获得。数据库网址：