Publisher Correction: Resistance to nonribosomal peptide antibiotics mediated by D-stereospecific peptidases.

Nat Chem Biol

Department of Ocean Science and Division of Life Science, Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong, China.

Published: September 2018

In the version of this article originally published, the links and files for the Supplementary Information, including Supplementary Tables 1-5, Supplementary Figures 1-25, Supplementary Note, Supplementary Datasets 1-4 and the Life Sciences Reporting Summary, were missing in the HTML. The error has been corrected in the HTML version of this article.

Download full-text PDF

Source
http://dx.doi.org/10.1038/s41589-018-0022-7DOI Listing

Publication Analysis

Top Keywords

version article
8
supplementary
5
publisher correction
4
correction resistance
4
resistance nonribosomal
4
nonribosomal peptide
4
peptide antibiotics
4
antibiotics mediated
4
mediated d-stereospecific
4
d-stereospecific peptidases
4

Similar Publications

Purpose: To assess the prevalence of mental illness among middle adolescents (aged 14 to 17 years) in Jeddah, Saudi Arabia.

Method: A quantitative, cross-sectional study was conducted among 483 students aged 14 to 17 years attending intermediate and secondary schools in Jeddah, Saudi Arabia. Participants were asked to complete the Arabic version of the self-reported Strengths and Difficulties Questionnaire (SDQ).

View Article and Find Full Text PDF

Background: BERIL-1 was a randomized phase 2 study that studied paclitaxel with either buparlisib, a pan-class I PIK3 inhibitor, or placebo in patients with recurrent or metastatic (R/M) head and neck squamous cell cancer (HNSCC). Considering the therapeutic paradigm shift with immune checkpoint inhibitors (ICIs) now approved in the first-line setting, we present an updated immunogenomic analysis of patients enrolled in BERIL-1, including patients with immune-infiltrated tumors.

Objective: The objective of this study was to identify biomarkers predictive of treatment efficacy in the context of the post-ICI therapeutic landscape.

View Article and Find Full Text PDF

Tianxiangdan suppresses foam cell formation by enhancing lipophagy and reduces the progression of atherosclerosis.

In Vitro Cell Dev Biol Anim

January 2025

College of Traditional Chinese Medicine, Xinjiang Uygur Autonomous Region, Xinjiang Medical University, Urumqi, 830063, China.

The aim of this study is to assess the impact of Tianxiangdan (TXD) on lipophagy in foam cells and its underlying mechanism in treating atherosclerosis, particularly focusing on its efficacy in lowering blood lipids. In vivo, ApoE-/- atherosclerosis mouse models were established for group intervention. Blood lipid levels of the mice were measured, lipid deposition and autophagy levels in atherosclerotic plaques were assessed, and co-localization of lipid droplets and autophagosomes was examined.

View Article and Find Full Text PDF

Purpose: Comorbid insomnia and obstructive sleep apnea (COMISA) present significant clinical challenges, given their overlapping symptoms and detrimental effects on health. Only a few studies have explored sex differences in patients with obstructive sleep apnea (OSA) and COMISA. This retrospective study investigated sex differences in psychiatric symptoms and polysomnographic findings between patients with COMISA and those with OSA alone.

View Article and Find Full Text PDF

Machine learning prediction model for oral mucositis risk in head and neck radiotherapy: a preliminary study.

Support Care Cancer

January 2025

Oral Diagnosis Department, Faculdade de Odontolodia de Piracicaba, Universidade de Campinas (UNICAMP), Piracicaba, São Paulo, Brazil.

Purpose: Oral mucositis (OM) reflects a complex interplay of several risk factors. Machine learning (ML) is a promising frontier in science, capable of processing dense information. This study aims to assess the performance of ML in predicting OM risk in patients undergoing head and neck radiotherapy.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!