GEAR: A database of Genomic Elements Associated with drug Resistance.

Sci Rep

Department of Computer Science and Technology, Tongji University, Shanghai 201804, China.

Published: March 2017

Drug resistance is becoming a serious problem that leads to the failure of standard treatments, which is generally developed because of genetic mutations of certain molecules. Here, we present GEAR (A database of Genomic Elements Associated with drug Resistance) that aims to provide comprehensive information about genomic elements (including genes, single-nucleotide polymorphisms and microRNAs) that are responsible for drug resistance. Right now, GEAR contains 1631 associations between 201 human drugs and 758 genes, 106 associations between 29 human drugs and 66 miRNAs, and 44 associations between 17 human drugs and 22 SNPs. These relationships are firstly extracted from primary literature with text mining and then manually curated. The drug resistome deposited in GEAR provides insights into the genetic factors underlying drug resistance. In addition, new indications and potential drug combinations can be identified based on the resistome. The GEAR database can be freely accessed through http://gear.comp-sysbio.org.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5353689PMC
http://dx.doi.org/10.1038/srep44085DOI Listing

Publication Analysis

Top Keywords

drug resistance
20
gear database
12
genomic elements
12
human drugs
12
database genomic
8
elements associated
8
associated drug
8
associations human
8
drug
7
gear
5

Similar Publications

Purpose: Nano-drug delivery systems (NDDS) have become a promising alternative and adjunctive strategy for lung cancer (LC) treatment. However, comprehensive bibliometric analyses examining global research efforts on NDDS in LC are scarce. This study aims to fill this gap by identifying key research trends, emerging hotspots, and collaboration networks within the field of NDDS and LC.

View Article and Find Full Text PDF

Purpose Of Review: This narrative review explores the role of Medical Nutritional Therapy (MNT) in managing Metabolic-Associated Steatotic Liver Disease (MASLD), previously known as nonalcoholic fatty liver disease. It aims to examine the effectiveness of specific nutritional strategies in preventing and treating this obesity-linked liver disease.

Recent Findings: Emerging evidence underscores the benefits of the Mediterranean diet, low-carbohydrate diets, and intermittent fasting in reducing liver fat, improving insulin sensitivity, and mitigating inflammation.

View Article and Find Full Text PDF

Microglial polarization and ferroptosis are important pathological features in Alzheimer's disease (AD). Ghrelin, a brain-gut hormone, has potential neuroprotective effects in AD. This study aimed to explore the potential mechanisms by which ghrelin regulates the progression of AD, as well as the crosstalk between microglial polarization and ferroptosis.

View Article and Find Full Text PDF

Background: There is no strong evidence demonstrating whether or not aerobic exercise in conjunction with resistance exercise improves metabolic diabetes markers in postmenopausal women.

Objective: To evaluate the effect of aerobic exercise and resistance training on metabolic markers in postmenopausal women with type 2 diabetes mellitus (T2DM) by means of a systematic review and meta-analysis.

Methods: The searches were completed using EMBASE, MEDLINE/PubMed, Scopus and Web of Science databases.

View Article and Find Full Text PDF

Shotgun and proximity-ligation metagenomic sequencing were used to generate thousands of metagenome assembled genomes (MAGs) from the untreated wastewater, activated sludge bioreactors, and anaerobic digesters from two full-scale municipal wastewater treatment facilities. Analysis of the antibiotic resistance genes (ARGs) in the pool of contigs from the shotgun metagenomic sequences revealed significantly different relative abundances and types of ARGs in the untreated wastewaster compared to the activated sludge bioreactors or the anaerobic digesters (p < 0.05).

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!