Method for relative quantification of chemical compounds contained in a mixture of different biological samples

    公开(公告)号:US10598642B2

    公开(公告)日:2020-03-24

    申请号:US15362697

    申请日:2016-11-28

    申请人: VITO NV

    摘要: A method is for the simultaneous identification of one or more chemical compounds contained in a sample, from an analytical measurement of a pool of two or more of the samples. A measured intensity of a first and second signal is representative of an abundance of respectively the first and second chemical compound in the first sample, and a measured intensity of a third and fourth second signal is representative of an abundance of respectively a third and fourth chemical compound in the second sample. The first and third, and the second and fourth compound may be the same or different. The signal intensities are organized in a matrix aij of m columns and n rows, in which n is ≥2 and corresponds to the number of chemical compounds in the pool, and m≥2 and corresponds to the number of samples in the pool.

    IN SILICO PROCESS FOR SELECTING PROTEIN FORMULATION EXCIPIENTS

    公开(公告)号:US20190062948A1

    公开(公告)日:2019-02-28

    申请号:US16081102

    申请日:2017-03-06

    摘要: The invention relates to an in silico screening method to identify candidate excipients for reducing aggregation of a protein in a formulation. The method combines computational molecular modeling and molecular dynamics simulations to identify sites on a protein where non-specific self-interaction and interaction of different test excipients may occur, determine the relative binding energies of such interactions, and select one or more test excipients that meet specified interaction criteria for use as candidate excipients in empirical screening studies.

    System and Methods for Disease Module Detection

    公开(公告)号:US20190050523A1

    公开(公告)日:2019-02-14

    申请号:US15913826

    申请日:2018-03-06

    IPC分类号: G06F19/12 C40B30/02

    摘要: The present disclosure discusses a system and method for disease module detection. More particularly, a protein network and list of seed proteins are provided to the system. The system iteratively selects one or more candidate proteins for inclusion in the list of seed proteins. The system calculates a connectivity factor for each of the connections of the candidate proteins to proteins listed as seed proteins. Responsive to the calculated connectivity factors the system adds one or more of the candidate proteins to list of seed proteins. At the end of the iterative process the list of seed proteins can be indicative of the disease module.

    SELECTIVE PEPTIDE ANTAGONISTS
    5.
    发明申请

    公开(公告)号:US20180349550A1

    公开(公告)日:2018-12-06

    申请号:US15964717

    申请日:2018-04-27

    申请人: BIONIZ, LLC

    摘要: 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 systems for determination of an effective therapeutic regimen and drug discovery

    公开(公告)号:US10093982B2

    公开(公告)日:2018-10-09

    申请号:US14606918

    申请日:2015-01-27

    申请人: DNA-SEQ, INC.

    摘要: The present invention relates to the discovery of a method for identifying a treatment regimen for a patient diagnosed with cancer, predicting patient resistance to therapeutic agents and identifying new therapeutic agents. Specifically, the present invention relates to the use of an algorithm to identify a mutation in a kinase, determine if the mutation is an activation or resistance mutation and then to suggest an appropriate therapeutic regimen. The invention also relates to the use of a pattern matching algorithm and a crystal structure library to predict the functionality of a gene mutation, predict the specificity of small molecule kinase inhibitors and for the identification of new therapeutic agents.