Aims to detect HIV-1 genomic mutations that confer resistance to specific types of antiretroviral drugs. ViroSeq was developed as an aid in monitoring and treating HIV-1 Subtype B viral resistance in plasma samples. The software works with a system that includes sample preparation, reverse transcriptase polymerase chain reaction (RT-PCR), positive controls, and a sequencing module.
Rapid and accurate detection of antibiotic resistance in pathogens is an urgent need, affecting both patient care and population-scale control. Mykrobe predictor is a generic framework extensible to many species which can identify species, resistance profile and other genomic features such as virulence elements and phylogenetic lineage, within 3 minutes on a standard laptop.
Identifies and localizes virulence or antibiotic resistance genes and extended mobilome-related gene clusters as well, in sequenced bacterial genomes. VRprofile is assisted by CDSeasy to quickly annotate newly sequenced chromosomes, by CGCfinder to detect gene clusters, by COGviewer to localize and cluster user-provided COGs, and by MobilomeDB that collected and organized the known data about virulence factors and antibiotic resistance determinants on the single gene and gene cluster scale.
Conducts simulations of models of bacteria, antibiotics, enzymes, and their interactions. ARSim leans on four models that constitute the processes of antibiotic resistance, bacteria-antibiotic interactions, enzymes, and the environment. It integrates horizontal and vertical transfer mechanisms of antibiotic resistance genes. This tool is useful for the discovery or the development of new antibiotics.
Provides information of 148 anti-cancer drugs, and their pharmacological profiling across 952 cancer cell lines. CancerDR provides comprehensive information about each drug target that includes; (i) sequence of natural variants, (ii) mutations, (iii) tertiary structure, and (iv) alignment profile of mutants/variants. A number of web-based tools have been integrated in CancerDR. This database will be very useful for identification of genetic alterations in genes encoding drug targets, and in turn the residues responsible for drug resistance.