Drug resistance databases | Chemical informatics data analysis
Overwhelming evidence has demonstrated that drug resistance is the primary cause of clinical treatment failure, because patients who have similar clinical characteristics are usually treated by standard protocols without considering individual responses.
Provides interactive tools for a huge amount of chemical response and gene expression data on cancer cell lines. Individual GI50 data of chemicals against NCI60 cell lines were normalized and organized to statistically identify mutation- or lineage-specific chemical response. Likewise, DNA microarray data on NCI60 cell lines were processed to analyze mutation- or lineage-specific expression signatures.
Gathers information related to SHV beta-lactamases. SHVED merges 400 protein sequence entries from the NCBI protein database with more than 100 protein sequences from SHV mutation table. Users can perform a BLAST search among the data provided. The platform aims to assist researchers in determining SHV b-lactamases, new amino acid positions for mutations and inconsistencies in public databases.
Provides a repository for single nucleotide polymorphism (SNP) and resistance gene data mainly related from clinical isolates of diarrhea. DBDiaSNP in a manually curated database which includes both host and pathogens and a direct link to the literature citations. Searches can be made by SNP, resistance genes or literature references. This work intends to complement the dbDiarrhea database.
Provides an online searching platform for antibiotic resistant genes (ARGs). ARGs-OSP is a database that offers a global profile of the antibiotic resistome. This resource was constructed by integrating two large datasets of the whole genome database (WGD) and metagenomic database (MGD). It includes search and download functionalities that were designed for users to retrieve the occurrence of ARGs in different taxonomy and the abundance of ARGs in different habitats.