Olga L. Kardymon

TL;DR: This review covers the current data on the mechanisms of ROS generation and existing antioxidant systems balancing the redox state in mammalian cells that can also be related to tumors.

TL;DR: This review focuses on the similarities between ageing-associated and cancer-associated oxidative stress and mitochondrial dysfunction as their common phenotype and suggests that the oxidative stress as a cause and/or consequence of the mitochondrial dysfunction is one of the main drivers of these processes.

TL;DR: Two mediators of metabolic reprogramming, inflammation, and cell proliferation c-Myc and C/EBPβ may serve as regulators of polyamine metabolism genes (SMOX, AZIN1, MTAP, SRM, ODC1, AMD1, and AGMAT) as they are overexpressed in tumors, have binding site according to ENCODE ChIP-Seq data, and demonstrate strong coexpression with their targets.

TL;DR: The transfer learning approach using pretrained deep learning models was applied to develop a model that predicts conformational B-cell epitopes based on the primary antigen sequence and tertiary structure called SEMA, which can quantitatively rank the immunodominant regions within the RBD domain of SARS-CoV-2.

TL;DR: It is shown here that available epigenetic characteristics of human cell types are extremely sparse, limiting those approaches that rely on specific epigenetic input and proposing a new neural network architecture, DeepCT, which can learn complex interconnections of epigenetic features and infer unmeasured data from any available input.