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Simulation of a black-hole binary system evolved by the SpEC code.

Differentially methylated sites between Stage 4 HCC and healthy controls. (CSV 3562 kb)

Simulation of a black-hole binary system evolved by the SpEC code.

Simulation of a black-hole binary system evolved by the SpEC code.

Read me file containing the information about the data presented in the data set document.

Detailed variant information for all verified variants, including ACMG classification â Table showing details for variant classification such as pathogenicity prediction algorithms results and details of ACMG criteria application. (XLSX 18 kb)

Introduction: The threat bacterial pathogens pose to human health is increasing with the number and distribution of antibiotic-resistant bacteria, while the rate of discovery of new antimicrobials dwindles. Proteomics is playing key roles in understanding the molecular mechanisms of bacterial pathogenesis, and in identifying disease outcome determinants. The physical associations identified by proteomics can provide the means to develop pathogen-specific treatment methods that reduce the spread of antibiotic resistance and alleviate the negative effects of broad-spectrum antibiotics on beneficial bacteria. Areas covered: This review discusses recent trends in proteomics and introduces new and developing approaches that can be applied to the study of protein-protein interactions (PPIs) underlying bacterial pathogenesis. The approaches examined encompass options for mapping proteomes as well as stable and transient interactions in vivo and in vitro. We also explored the coverage of bacterial and human-bacterial PPIs, knowledge gaps in this area, and how they can be filled. Expert commentary: Identifying potential antimicrobial candidates is confounded by the complex molecular biology of bacterial pathogenesis and the lack of knowledge about PPIs underlying this process. Proteomics approaches can offer new perspectives for mechanistic insights and identify essential targets for guiding the discovery of next generation antimicrobials.

Describes pipeline for variant discovery and provides scripts

Additional file 3. File used to create PAUP* phylogenetic tree containing data from this study as well as Weaver et al. [12]. (FAS 213 kb)

Simulation of a black-hole binary system evolved by the SpEC code.