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.
Integrates disparate molecular and sequence data and provides a unique organizing principle in the form of the Antibiotic. CARD is a manually curated resource containing high quality reference data on the molecular basis of antimicrobial resistance (AMR), with an emphasis on the genes, proteins and mutations involved in AMR. CARD is ontologically structured, model centric, and spans the breadth of AMR drug classes and resistance mechanisms, including intrinsic, mutation-driven and acquired resistance.
A hand-curated antimicrobial resistance (AMR) database and annotation structure. MEGARes provides a foundation for the development of high throughput acyclical classifiers and hierarchical statistical analysis of big data. MEGARes can be browsed as a stand-alone resource through the website or can be easily integrated into sequence analysis pipelines through download. MEGARes has been integrated to the AmrPlusPlus pipeline to facilitate increased use of metagenomic datasets in resistome analyses.
Offers a way to understand the diversified antibiofilm agents. aBiofilm is a platform that provides a database, a predictor, and the data visualization modules. It supplies biological, chemical and structural details of more than 5 000 entries belonged to varied anti-biofilm agents. Its predictor is based on a Quantitative structure–activity relationship (QSAR) method and uses a Support Vector Machine (SVM) technique.
A free online database depositing the functional miRSNP associated with chemotherapy resistance. CREAM can constitute an authoritative resource for the chemotherapy research and clinical practice community, and spur further research on role of miRNA in cytotoxic drug resistance mechanisms that eventually may lead to the development of novel diagnostic tools and therapeutics to combat resistant cancer.
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 comprehensive information about genomic elements that are responsible for drug resistance. 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 single nucleotide polymorphisms (SNPs). Different relationships contained in the database are extracted from primary literature with text mining and manually curated.
Gathers sequence information, biochemical and structural data on all the currently known Beta-Lactamase (BL). BLDB is a web-based database that consists of: (i) a list of classes and sub-classes of BLs, with their corresponding BL families, (ii) a table containing all three-dimensional structures of BLs reported in the Protein Data Bank (PDB), (iii) the synthetic mutants described for each enzyme in the literature, with bibliographical information and links to PDB structures and hydrolytic profiles and (iv) a protein- and nucleotide-based BLAST search.
Deals with TEM and SHV beta-lactamases. LaCED merges information from the NCBI peptide database and the TEM mutation table for investigating relationships between structures, sequences and mutations related to those specific items. It contains data about more than 2300 sequence and over 30 structures. The repository aims to assist users in protein designing by helping in discrepancies identification and in mutation profiles detection.
Provides a manually curated Escherichia coli multiple drug resistant (MDR) gene knowledge-base. u-CARE was developed to provide aid in understanding the aforementioned bacterial resistance mechanism. This resource includes curated catalogue of more than 50 antibiotics with reported resistance, about 100 genes, transcription factors and single nucleotide polymorphism (SNPs) involved in multiple drug resistance of this pathogen.
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.
A database for storing genetic information on β-lactam and vancomycin resistance genes. ARGO is designed as a resource to enhance research on the prevalence and spread of antibiotic resistance genes. ARGO is the first attempt to compile the resistance gene sequence data with state specific information.