Publications by authors named "R Bermejo"
Article Synopsis
- * In eukaryotes, this process involves DNA polymerase Pol ∂, 5' Flap endonuclease Fen1, and DNA ligase I, all coordinated by the sliding clamp PCNA.
- * The study highlights the role of the deubiquitylase Ubp10 in budding yeast, which promotes the timely ligation of Okazaki fragments by facilitating the release of PCNA through deubiquitylation of lysine 164.
Background: Efficient recanalization of occluded cerebral arteries is crucial in the treatment of acute ischemic stroke. Double stent retrievers have shown the potential to enhance the rates of recanalization on the first pass. This study aims to evaluate the efficacy and safety of the double stent retriever technique and the predictors of achieving first-pass effect in patients with acute ischemic stroke.
View Article and Find Full Text PDFObjectives: Dysbiosis of the skin microbiota has been identified as a key factor in the development of acne. This study was aimed to evaluate the effect of a facial cream gel containing a biotechnological phytocomplex, niacinamide and succinic acid on the bacterial diversity of subjects with mild-moderate acne and its clinical benefits due to microbiota changes.
Methods: Open-label, clinical study in 44 subjects with mild-moderate acne treated with a facial cream gel for 8 weeks.
Background: The disruption of the microbial community or dysbiosis alters the functional composition, metabolic activity, and local distribution of the microbiota leading the development of acne. The aim of this study is to evaluate the effect of a lotion containing a biotechnological phytocomplex, niacinamide, and succinic acid in the bacterial diversity of subjects with truncal mild-moderate acne and its clinical benefits due to microbiota changes.
Materials And Methods: Open, clinical study in 43 subjects with truncal mild-moderate acne treated with a lotion for 8 weeks.
Article Synopsis
- Protein structure determination has advanced through deep learning, aiding in predicting protein folding from sequences, especially for proteins with unknown structures.
- Accurate predictions are crucial for rare and diverse structures, employing various metrics to evaluate reliability and strengthen insights into protein structure.
- The study focused on proteins ARM58 and ARM56, analyzing their model prediction accuracy and comparing findings across species, emphasizing the importance of using diverse outputs from deep learning models in the absence of prior structural data.