Abstract

Biofilms play an important role in health, being associated with >80% of all microbial infections in the body and in the development of antibiotic resistance. Research in this field has continuously produced large volumes of data. Being able to handle all this information will be paramount for progress in this field. However, this places a heavy burden on the development of strategies to gather, organize and make this information available in a way that can be readily and effectively used by those requiring it. Lately, efforts towards this goal have been reported, particularly with the development of Quorumpeps, BiofOmics, BaAMPs, QSPpred, dPABBs, aBiofilm and the Biofilms Structural Database. This work reviews these databases and highlights their applicability and potential, while stressing some of the challenges for the coming years in database development and usage brought about by the use of big data and machine learning.

抽象的

生物膜在健康中起着重要作用，与体内所有微生物感染的80％以上以及抗生素耐药性的发展有关。该领域的研究不断产生大量数据。能够处理所有这些信息对于该领域的进步至关重要。但是，这给制定收集，组织和提供此信息的策略带来了沉重负担，这些信息可以被那些需要它的人轻松而有效地使用。最近，已经报道了为实现这一目标而做出的努力，特别是随着Quorumpeps，BiofOmics，BaAMPs，QSPpred，dPABBs，aBiofilm和Biofilms结构数据库的开发。这项工作回顾了这些数据库，并强调了它们的适用性和潜力，