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Author Correction: Association between constipation and incident chronic kidney disease in the UK Biobank study
Drug target affinity prediction based on multi-scale gated power graph and multi-head linear attention mechanism
For the purpose of developing new drugs and repositioning existing ones, accurate drug-target affinity (DTA) prediction is essential. While graph neural networks are frequently utilized for DTA prediction, it is difficult for existing single-scale graph neural networks to access the global structure of compounds. We propose a novel DTA prediction model in this study, MAPGraphDTA, which uses an approach based on a multi-head linear attention mechanism that aggregates global features based on the attention weights and a multi-scale gated power graph that captures multi-hop connectivity relationships of graph nodes. In order to accurately extract drug target features, we provide a gated skip-connection approach in multiscale graph neural networks, which is used to fuse multiscale features to produce a rich representation of feature information. We experimented on the Davis, Kiba, Metz, and DTC datasets, and we evaluated the proposed method against other relevant models. Based on all evaluation metrics, MAPGraphDTA outperforms the other models, according to the results of the experiment. We also performed cold-start experiments on the Davis dataset, which showed that our model has good prediction ability for unseen drugs, unseen proteins, and cases where neither drugs nor proteins has been seen.
Publisher Correction: The associations of cardiovascular health and all-cause mortality among individuals with depression
Correction: Back to normal? The health care situation of home care receivers across Europe during the COVID-19 pandemic and its implications on health
Here’s how to bag a hefty research prize to turbocharge innovation
Money and murder: the dark side of the Asilomar meeting on recombinant DNA
Researchers overlooked airborne diseases for centuries — then COVID-19 changed everything
‘Talking won’t save the planet’: uniting efforts to save Panama’s parks
From farm to pharmacy: gene-edited plants produce a popular supplement
Are PhDs losing their lustre? Why fewer students are enrolling in doctoral degrees
Bullseye! Galaxy hosts a record-breaking nine starry rings
Long-term outcomes of cryoballoon versus robotic magnetic navigation guided radiofrequency ablation in patients with persistent atrial fibrillation
Impact of red blood cell transfusion in massive burn: a multicenter cohort study
A vision–language foundation model for precision oncology
Undergraduate medical students’ perceptions and perspectives on their clinical reasoning learning experiences
Impact of insulin storage and syringe reuse on insulin sterility in diabetes mellitus patients in Mwanza Tanzania
Baited traps as flawed proxies for carcass colonization
Abstract In both fundamental and applied sciences, the use of surrogates to measure phenomena that are challenging to study directly is a common practice. However, this requires validating the appropriateness of the surrogates. This study examines if traps, used to measure flight activity of necrophagous flies, can serve as effective surrogates for predicting oviposition on whole carcasses, a topic still under debate in forensic science. We used three sets, a calibration and validation subsets comprising monitoring data of the flight activity of four necrophagous blow fly species, and a test set comprising the oviposition activity of these species on carcasses. Each set also included measurements of abiotic parameters. Using Random Forest for each species, we quantitatively and qualitatively modeled flight activity as a function of abiotic parameters and validated these models. However, when we examined the extent to which flight activity predicted oviposition on carcasses, the models performed poorly, only explaining a fraction of the variance. As the first study making use of small baited trap data to model oviposition on animal carcasses, this study presents mixed results that suggests that traps, despite their utility in addressing various forensic entomology questions, currently appear to be unreliable proxies for predicting carcass colonization.