Systems and methods are presented that allow for selection of tumor neoepitopes that are filtered for various criteria. In particularly contemplated aspects, filtering includes a step in which the mutation leading to the neoepitope is ascertained as being located in a cancer driver gene.

The present invention provides for methods of identifying peptoid mimetics that will mimic B cell epitopes when delivered as vaccine compositions. One aspects of the invention is the use of monoclonal antibody that is broadly protective to select the mimetics, thereby identifying an epitope from a pathogen or other disease-causing agent that will be common among most or all variants of that pathogen or agent.

A method for diagnosing the development of a tissue injury in a subject comprising administering a sample of neoantibodies to the subject's tissue for the purpose of detecting the presence of neoepitopes bearing complement proteins.

The methods, processes, and systems described herein include identifying an epitope of a peptide that may elicit an immune response in a subject. Often the methods, systems and processes may include designing and producing a composition comprising an epitope of a peptide identified using the methods or processes described herein.

The present disclosure relates generally to biomarkers and peptide arrays, and, more particularly, to a method of using a peptide array to identify biomarkers for an autoimmune disease such as, e.g., celiac disease. Furthermore, a set of novel biomarkers for celiac disease, having high sensitivity and specificity, are disclosed in addition to method of treatment using the novel biomarkers.

The present disclosure relates to pharmaceutical compounds and compositions and methods for treating an allergy and Crohn's disease. Methods for treating an allergy can include (a) predicting potential epitopes based proteomes of microbiome and that of an allergen, (b) filtering the potential epitopes obtained in step a) to result in a list of epitopes; and (c) reengineering the list of epitopes obtained in step b) to result in the new epitope. Methods for treating Crohn's disease can include (a), identifying one or more binding regions of an HLA class II protein and/or hemagglutinin to I2 superantigen; (b) determining a first peptide sequence corresponding to the one or more binding regions, and (c) producing a peptide inhibitor having a second peptide sequence that is a mutation of the first peptide sequence, wherein the second peptide sequence has a stronger binding affinity to the I2 superantigen than the first peptide sequence.

Assay methods for detecting the presence or amount of VCAM-1 or calprotectin in a sample using fluorescence resonance energy transfer (FRET).

Disclosed herein are Complement factor H (CFH) inhibitors, such as anti-CFH antibodies and small molecules, and methods of using said inhibitors.

Effectiveness of a neoepitope-based immunotherapeutic composition against a tumor can be increased by predicting the surface presentation of the neoepitope bound to the HLA molecule of the tumor cell. Surface presentation levels of neoepitopes can be predicted by identifying any changes in omics data of the tumor cell that may affect the expression or surface trafficking of the HLA molecule and that may affect binding affinities of neoepitopes to the HLA molecule.

Adaptive immune responses rely on the ability of cytotoxic T cells to identify and eliminate cells displaying disease-specific antigens on human leukocyte antigen (HLA) class I molecules. Investigations into antigen processing and display have immense implications in human health, disease and therapy. To extend understanding of the rules governing antigen processing and presentation, immunopurified peptides from B cells, each expressing a single HLA class I allele, were profiled. A resource dataset containing thousands of peptides bound to distinct class I HLA-A, -B, and -C alleles was generated by implementing a novel allele-specific database search strategy. Applicants discovered new binding motifs, established the role of gene expression in peptide presentation and improved prediction of HLA-peptide binding by using these data to train machine-learning models. These streamlined experimental and analytic workflows enable direct identification and analysis of endogenously processed and presented antigens.