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A database is one or more sets of data, for example numbers, characters and images, bundled together with software that enables data to be added, removed or retrieved. Databases can be used to store research data, for example in protein databases and genetic databases, and they organise data into standard formats so that information can readily be obtained.
Glancing forward to view alternative futures for limiting global warming requires understanding complex societal–environmental systems that drive future emissions. Now a study explores the potential, and limits, of deep learning to generate core characteristics of these futures.
This work introduces DeepTernary, a deep learning method for rapid and accurate prediction of PROTAC and molecular glue-induced ternary complex structures, achieving state-of-the-art results by learning from a curated dataset, TernaryDB.
Ouyang et al. present LassoPred, a computational tool to accurately predicts the 3D structure of lasso peptides and offers an accessible online prediction tool to the scientific community.
Glancing forward to view alternative futures for limiting global warming requires understanding complex societal–environmental systems that drive future emissions. Now a study explores the potential, and limits, of deep learning to generate core characteristics of these futures.
Cuts at US government agencies are disrupting monitoring critical to tracking Earth system changes and natural hazards. Data gaps threaten geoscience progress and the safety of society.
Deniz Vural explains how using modern echosounder measurements together with historical data can improve the accuracy of bathymetric maps and monitor changes in the Arctic coastal zone.
Analysis flags hundreds of studies that seem to follow a template, reporting correlations between complex health conditions and single variables based on publicly available data sets.
Despite the global burden of HIV-1, the majority of sequence data and research remain disproportionately focused on subtype B, primarily circulating in the global north. Sub-Saharan Africa, the epicentre of HIV-1 genetic diversity and prevalence, requires increased representation in sequencing efforts and regionally led research to inform effective interventions.
