The present invention relates to peptides and their ability to identify and bind to T cells specific for HBV-infected hepa-tocytes. In an first aspect of the invention, there is provided a peptide comprising an amino sequence selected from the group consisting of STLPETAVVRR, STLPETAVVR, STLPETTVVRR, STLPETTVIRR, STPPETTVVRR, STLPETTVVGR and STIPETTVVRR, wherein the peptide is derived from Hepatitis B virus core169 and is capable of binding HLA-A*1101 and when bound to HLA-A*1101 s capable of identifying T cells specific for Hepatitis B virus. In a second aspect of the invention, there is provided A T cell expressing a T cell receptor (TCR) molecule, wherein the TCR molecule comprises an amino acid sequence selected from the group comprising: CASGDSNSPLHF, CASSGGQIVYEQYF, CSARGGRGGDYTF and CASSQDWTEAFF, the T cell receptor is able to bind to a pep-tide according to the first aspect of the invention.

Disclosed is a novel method showing a higher detection sensitivity for hepatitis B virus genotype D than those of known methods. A method of immunoassay of hepatitis B virus core-related antigen uses, as an antibody to be used for the immunoassay, a monoclonal antibody that specifically binds to at least one kind of core-related antigen of hepatitis B virus genotype D, or an antigen-binding fragment thereof, wherein an epitope of the monoclonal antibody or the antigen-binding fragment thereof is a region included in the amino acid sequence from position 31 to 48 of SEQ ID NO:3.

In the field of Hepatitis B virus (HBV) detection, disclosed are a method for detecting HBcAg by means of using a double antibody sandwich method, and an antibody and kit for detecting HBcAg; also included is a monoclonal antibody that can be used in the immunological detection of HBcAg in a tissue or cell sample.

Described herein are methods for identifying compounds useful for the treatment of infection by hepatitis B virus (HBV) and for identifying compounds useful for the same.

Provided herein are compositions, systems, and methods for assessing and monitory disease stage and phases, predicting likelihood of disease progression, and predicting and monitoring responses to disease therapies (e.g., in HBV infection).

Provided herein are compositions, systems, and methods for assessing and monitoring disease stage and phases, predicting likelihood of disease progression, and predicting and monitoring responses to hepatitis B virus infection.

Cell-free translation and assembly systems allow for HBV capsid assembly under cell-free conditions that also mimic the physiological salt and protein concentrations. These hepatitis virus capsid assembly systems utilize the C-terminal domain (CTD) and N-terminal domain (NTD) of the hepatitis capsid protein in capsid assembly. Uses of the system include the identification of potential new therapeutic strategies and screening of potential therapeutic agents which target these domains and modulate capsid assembly and/or disassembly and other functions of these domains in HBV replication and pathogenesis.

The present invention relates to a method for quantitative detection of anti-HBc and its use in monitoring disease progression of chronic hepatitis B patients and predicting therapeutic effects. By quantitative detection of antibodies against hepatitis B core protein (Anti-HBc), it is able to monitor disease progression of chronic hepatitis B patients, effectively predict therapeutic effects in chronic hepatitis B patients who accept a therapy against hepatitis B virus (especially, a therapy based on interferon and a therapy based on nucleoside/nucleotide analog anti-HBV drug), and thus guide the patients to reasonably choose drugs.

Provided herein are compositions, systems, and methods for assessing and monitory disease stage and phases, predicting likelihood of disease progression, and predicting and monitoring responses to disease therapies (e.g., in HBV infection).

Provided herein are compositions, systems, and methods for assessing and monitory disease stage and phases, predicting likelihood of disease progression, and predicting and monitoring responses to disease therapies (e.g., in HBV infection).