Abstract: Methods of detecting a human leukocyte antigen (HLA)-A*32:01 allele in a subject as disclosed are useful, for example, to determine whether the subject is at risk for developing or has vancomycin-induced drug reaction with eosinophilia and systemic symptoms (DRESS). Methods of treating bacterial infection in a subject with vancomycin-induced DRESS are also disclosed.

Abstract: A system comprising a machine learning classifier trained on a plurality of associations between a host and a pathogen to predict a pathogen characteristic is described herein. The pathogen characteristic can relate to a disease state of the host. Computer-executable instructions for performing a method of forecasting a portion of a target molecule anticipated to influence an organism's condition also are described herein. The method comprises employing population data to automatically analyze one or more areas of the target molecule to determine the portion of the target molecule anticipated to influence the organism's condition. The population data can pertain to at least one relationship between at least one diverse organism trait and the target molecule. One or more epitopes forecast by employing the method also are contemplated.

Abstract: The present invention relates generally to the field of identification and determination of bioactive amino acid sequences. In particular, the present invention provides method(s) for determining the influence of variation in host genes on selection of microorganisms with particular amino acid variants for the purpose of therapeutic drug or vaccine design or individualisation of such treatment. The invention also provides methods for identifying HLA allele-specific microorganism sequence polymorphisms that result from HLA restriction of antigen-specific cellular immune responses. It also provides diagnostic and therapeutic methodologies that may be used to measure or treat infection by a microorganism or to prevent infection by the microorganism.

Abstract: The present invention relates generally to the field of identification and determination of bioactive amino acid sequences. In particular, the present invention provides method(s) for determining the influence of variation in host genes on selection of microorganisms with particular amino acid variants for the purpose of therapeutic drug or vaccine design or individualisation of such treatment. The invention also provides methods for identifying HLA allele-specific microorganism sequence polymorphisms that result from HLA restriction of antigen-specific cellular immune responses. It also provides diagnostic and therapeutic methodologies that may be used to measure or treat infection by a microorganism or to prevent infection by the microorganism.

Abstract: A system comprising a machine learning classifier trained on a plurality of associations between a host and a pathogen to predict a pathogen characteristic is described herein. The pathogen characteristic can relate to a disease state of the host. Computer-executable instructions for performing a method of forecasting a portion of a target molecule anticipated to influence an organism's condition also are described herein. The method comprises employing population data to automatically analyze one or more areas of the target molecule to determine the portion of the target molecule anticipated to influence the organism's condition. The population data can pertain to at least one relationship between at least one diverse organism trait and the target molecule. One or more epitopes forecast by employing the method also are contemplated.

Abstract: Systems that facilitate immunogen design are described herein. An optimization component is provided to determine an immunogen according to at least one criterion. The immunogen comprises a set of overlapping sequences comprising sequences that are known to be and/or are likely to be immunogenic. At least one of the sequences that are likely to be immunogenic can be determined by analyzing associations between a host and a pathogen at a population level. Methods of determining an epitome are described herein. A plurality of sequences are received. At least one of the sequences is predicted to be an epitope based on a relationship between a diverse trait of a population and a mutation of a pathogen. A collection of the plurality of sequences is optimized according to one or more criteria to determine the epitome. Epitomes and immunogens determined by the systems and methods described herein are also contemplated.

Abstract: A method for identifying whether a patient will exhibit a hypersensitive reaction or like-reaction to treatment with abacavir comprising the step of: typing the patient for the presence of the 57.1 ancestral haplotype.