The articles.ELM resource: simplifying access to protein linear motif literature by annotation, text-mining and classification.

ABSTRACT: Modern biology produces data at a staggering rate. Yet, much of these biological data is still isolated in the text, figures, tables and supplementary materials of articles. As a result, biological information created at great expense is significantly underutilised. The protein motif biology field does not have sufficient resources to curate the corpus of motif-related literature and, to date, only a fraction of the available articles have been curated. In this study, we develop a set of tools and a web resource, 'articles.ELM', to rapidly identify the motif literature articles pertinent to a researcher's interest. At the core of the resource is a manually curated set of about 8000 motif-related articles. These articles are automatically annotated with a range of relevant biological data a

SUBMITTER: Palopoli N 

PROVIDER: S-EPMC7276420 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature