Welcome

Welcome to ACovPepDB

ACovPepDB is a comprehensive peptides database of anti-coronavirus peptides, which contains 518 enrties with 214 unique ACovPs manually extracted from research articles and public databases.

Introduction

The coronavirus disease 2019 (COVID-19) is triggered by a novel coronavirus called Severe acute respiratory syndrome coronavirus 2 (2019-nCoV) (SARS-CoV-2). COVID-19 has become a global public health major event, causing an indelible impact on the global economy and human lives and health.Whether it is the SARS-CoV in 2003 or the MERS-CoV in 2012, it has brought a great crisis to our lives. Antimicrobial peptides (AMPs) are a family of compounds that have inhibitory effects on various types of microbial pathogens. Part of peptides in AMPs are able to inhibit coronaviruses. These peptides are called anti-coronavirus peptides (ACovPs). Actually, copious scientists have devoted themselves to the identification and design of AMPs. Simultaneously, several AMP databases have been built and widely used in relevant scientific research.

We developed the first database tailored for ACovPs storage and management, called ACovPepDB, which stored 214 unique ACovPs with 518 entries from published peer-reviewed articles and public databases. ACovPepDB is freely accessed online without registration. All of the ACovPs dataset as well as target domain dataset could be downloaded. This database is considered valuable in consolidating understanding of ACovPs and serves as a comprehensive resource for coordinating efforts to improve the discovery of novel ACovPs and promote data mining in bioinformatics.

Future Plan

ACovPepDB will move with the times, not only continuing to update to deliver quality data, but also integrating tools to more easily interact with the data. The database is scheduled to be updated annually. We will keep curating data from newly peer-reviewed published literature and related databases. Specifically, we are currently developing an artificial intelligence-based tool to predict and design novel ACovPs. The integration of such tools into ACovPepDB can accelerate the development of potential therapeutic candidates for treating coronavirus infection. Additionally, we will work with other public resources to make ACovPepDB more widely available. Sustained efforts will be made to improve the database, with the ultimate goal of facilitating anti-coronavirus research.

Use Constraints:

Please cite original publication, dataset when using downloaded data. Except where otherwise noted, content on this site is licensed under a Creative Commons Attribution 4.0 International license: http://creativecommons.org/licenses/by/4.0/. The source code of this database is available in: https://github.com/BLIGHZ/ACovPepDB. The presence of external links associated with this database does not constitute an endorsement by ACovPepDB of external web sites or the information or products contained therein.