Compositions and methods for isolating HLA-peptides from cells. A universal platform and methods for profiling the HLA-peptidome, enabling identification of endogenously presented HLA-peptides from cell lines expressing any possible class I or II construct.

Compositions and methods for isolating HLA-peptides from cells. A universal platform and methods for profiling the HLA-peptidome, enabling identification of endogenously presented HLA-peptides from cell lines expressing any possible class I or II construct.

A bioinformatics method for determining a risk score that indicates a risk that a subject will experience a negative clinical event within a certain period of time. The risk score is based on a combination of activities of two or more cellular signaling pathways in a subject, such as a human, wherein the specific cellular signaling pathways are the PI3K pathway and one or more of a Wnt pathway, an ER pathway, and an HH pathway. The invention also includes an apparatus with a digital processor configured to perform such a method, to a non-transitory storage medium storing instructions that are executable by a digital processing device to perform such a method, and to a computer program comprising program code means for causing a digital processing device to perform such a method. The invention achieves advanced prognosis of negative clinical events, for example, disease progression, recurrence, development of metastasis, or even death.

A bioinformatics method for determining a risk score that indicates a risk that a subject will experience a negative clinical event within a certain period of time. The risk score is based on a combination of activities of two or more cellular signaling pathways in a subject, such as a human, wherein the specific cellular signaling pathways are the PI3K pathway and one or more of a Wnt pathway, an ER pathway, and an HH pathway. The invention also includes an apparatus with a digital processor configured to perform such a method, to a non-transitory storage medium storing instructions that are executable by a digital processing device to perform such a method, and to a computer program comprising program code means for causing a digital processing device to perform such a method. The invention achieves advanced prognosis of negative clinical events, for example, disease progression, recurrence, development of metastasis, or even death.

The invention disclosed herein relates to methods for estimating an individual's genetic risk to a specific phenotypic trait.

The invention disclosed herein relates to methods for estimating an individual's genetic risk to a specific phenotypic trait.

An analytic method for improving the efficiency in identifying protein molecular effect information using low resolution x-ray crystallography, by selecting and imaging a protein sample with low resolution x-ray crystallography and assaying the data thus generated as to local ligand strain energy value, followed by calculating a real-space difference density Z for each element and compiling ZDD data therefrom, followed by determining the true protomer/tautomer state of the protein sample by calculating Score.sub.i according to the following equation so that the highest Score.sub.i signifies the molecular effect information:
Score.sub.i={((ZDD.sub.i−μ.sub.ZDD)/σ.sub.ZDD)+((SE.sub.i−σ.sub.SE)/σ.sub.SE)}.

An analytic method for improving the efficiency in identifying protein molecular effect information using low resolution x-ray crystallography, by selecting and imaging a protein sample with low resolution x-ray crystallography and assaying the data thus generated as to local ligand strain energy value, followed by calculating a real-space difference density Z for each element and compiling ZDD data therefrom, followed by determining the true protomer/tautomer state of the protein sample by calculating Score.sub.i according to the following equation so that the highest Score.sub.i signifies the molecular effect information:
Score.sub.i={((ZDD.sub.i−μ.sub.ZDD)/σ.sub.ZDD)+((SE.sub.i−σ.sub.SE)/σ.sub.SE)}.

Methods and compositions related to the selective, specific disruption of multiple ligand-receptor signaling interactions, such as ligand-receptor interactions implicated in disease, are disclosed. These interactions may involve multiple cytokines in a single receptor family or multiple ligand receptor interactions from at least two distinct ligand-receptor families. The compositions may comprise polypeptides having composite sequences that comprise sequence fragments of two or more ligand binding sites. The methods and compositions may involve sequence fragments of two or more ligand binding sites that are arranged to conserve the secondary structure of each of the ligands from which the sequence fragments were taken.

Methods and compositions related to the selective, specific disruption of multiple ligand-receptor signaling interactions, such as ligand-receptor interactions implicated in disease, are disclosed. These interactions may involve multiple cytokines in a single receptor family or multiple ligand receptor interactions from at least two distinct ligand-receptor families. The compositions may comprise polypeptides having composite sequences that comprise sequence fragments of two or more ligand binding sites. The methods and compositions may involve sequence fragments of two or more ligand binding sites that are arranged to conserve the secondary structure of each of the ligands from which the sequence fragments were taken.