A system and method that given one or more input molecules, produces a contextualized summary of characteristics of related target molecules, e.g., proteins. Using a knowledge graph which is populated with all known molecules, input molecules are analyzed according to various similarity indexes which relate the input molecules to target proteins or other biological entities. The knowledge graph may also comprise scientific literature, governmental data (FDA clinical phase data), private research endeavors (general assays, etc.), and other related biological data. The summary produced may comprise target proteins that satisfy certain biological properties, general assay results (ADMET characteristics), related diseases, off-target molecule interactions (non-targeted molecules involved in a specific pathway or cascade), market opportunities, patents, experiments, and new hypothesis.

A system and method that given one or more input molecules, produces a contextualized summary of characteristics of related target molecules, e.g., proteins. Using a knowledge graph which is populated with all known molecules, input molecules are analyzed according to various similarity indexes which relate the input molecules to target proteins or other biological entities. The knowledge graph may also comprise scientific literature, governmental data (FDA clinical phase data), private research endeavors (general assays, etc.), and other related biological data. The summary produced may comprise target proteins that satisfy certain biological properties, general assay results (ADMET characteristics), related diseases, off-target molecule interactions (non-targeted molecules involved in a specific pathway or cascade), market opportunities, patents, experiments, and new hypothesis.

A computer-implemented method of prioritising biological targets is disclosed. The method comprises: receiving a selection of classes of one or more categories; and, for each of a plurality of biological targets, determining an extent of alignment of the biological target to each selected class. The method also comprises prioritising the biological targets based on the extents of alignment; and outputting a representation of one or more prioritised biological targets.

The invention provides compounds for use as medicaments, which act by inhibiting CYP17A1 and CYP19A1 enzymes. The compounds have particular application in the treatment of cancer especially prostate cancer and breast cancer. The compounds have the formula: [Chem. 1] wherein: R is independently selected from the group consisting of optionally substituted arylamide; optionally substituted alkylarylamide; optionally substituted aryl carboxamide; optionally substituted cyanopiperidine; optionally substituted oxopiperidine; optionally substituted N-(pyridin-3-yl); optionally substituted pyridin-3-yl; optionally substituted pyrazole-4-carboxamide; optionally substituted pyrimidin-4-ylcarboxamide; optionally substituted pyrimidin-4-ylcarboxamide; optionally substituted 1H-pyrrol-2-ylcarboxamide; optionally substituted morpholin carboxamide; optionally substituted 1H-indazol-3-ylcarboxamide; optionally substituted 5-cyanopiperidin-3-ylcarboxamide; optionally substituted quinolin-7-yl; optionally substituted pyrazin-2-ylcarboxamide; optionally substituted 1H-1,3-benzodiazole-6-carboxamide; and optionally substituted 3-oxo-3,4-dihydro-2H-1,4-benzoxazin-7-ylcarboxamide; Each R1, R2, R3, R4, R5 is independently selected from the group consisting of H; OH; a halogen atom; OCH.sub.3; and NH.sub.2; and X is independently selected from the group consisting of O, H and OH. Some of the compounds are claimed per se and the invention also encompasses pharmaceutically acceptable salts, solvates, hydrates, primary metabolites and prodrugs thereof.

The invention provides compounds for use as medicaments, which act by inhibiting CYP17A1 and CYP19A1 enzymes. The compounds have particular application in the treatment of cancer especially prostate cancer and breast cancer. The compounds have the formula: [Chem. 1] wherein: R is independently selected from the group consisting of optionally substituted arylamide; optionally substituted alkylarylamide; optionally substituted aryl carboxamide; optionally substituted cyanopiperidine; optionally substituted oxopiperidine; optionally substituted N-(pyridin-3-yl); optionally substituted pyridin-3-yl; optionally substituted pyrazole-4-carboxamide; optionally substituted pyrimidin-4-ylcarboxamide; optionally substituted pyrimidin-4-ylcarboxamide; optionally substituted 1H-pyrrol-2-ylcarboxamide; optionally substituted morpholin carboxamide; optionally substituted 1H-indazol-3-ylcarboxamide; optionally substituted 5-cyanopiperidin-3-ylcarboxamide; optionally substituted quinolin-7-yl; optionally substituted pyrazin-2-ylcarboxamide; optionally substituted 1H-1,3-benzodiazole-6-carboxamide; and optionally substituted 3-oxo-3,4-dihydro-2H-1,4-benzoxazin-7-ylcarboxamide; Each R1, R2, R3, R4, R5 is independently selected from the group consisting of H; OH; a halogen atom; OCH.sub.3; and NH.sub.2; and X is independently selected from the group consisting of O, H and OH. Some of the compounds are claimed per se and the invention also encompasses pharmaceutically acceptable salts, solvates, hydrates, primary metabolites and prodrugs thereof.

Embodiments of the present technology include a method for testing a blood sample for sepsis. The method may include receiving a blood sample from an individual. The method may also include executing an instruction to analyze the blood sample for sepsis. In addition, the method may include measuring values of a set of characteristics in the blood sample. The set of characteristics being determined prior to measuring the values. The method may further include analyzing the values of the set of characteristics to produce a representation of a suspicion of sepsis. In addition, the method may include displaying the representation. Embodiments also include systems for testing blood sample for sepsis.

Embodiments of the present technology include a method for testing a blood sample for sepsis. The method may include receiving a blood sample from an individual. The method may also include executing an instruction to analyze the blood sample for sepsis. In addition, the method may include measuring values of a set of characteristics in the blood sample. The set of characteristics being determined prior to measuring the values. The method may further include analyzing the values of the set of characteristics to produce a representation of a suspicion of sepsis. In addition, the method may include displaying the representation. Embodiments also include systems for testing blood sample for sepsis.

The technology disclosed relates to determining pathogenicity of nucleotide variants. In particular, the technology disclosed relates to specifying a particular amino acid at a particular position in a protein as a gap amino acid, and specifying remaining amino acids at remaining positions in the protein as non-gap amino acids. The technology disclosed further relates to generating a gapped spatial representation of the protein that includes spatial configurations of the non-gap amino acids, and excludes a spatial configuration of the gap amino acid, and determining a pathogenicity of a nucleotide variant based at least in part on the gapped spatial representation, and a representation of an alternate amino acid created by the nucleotide variant at the particular position.

A computational model may be used to predict targets of a candidate, or predict candidates that interact with a target. A plurality of pairs may be established, each including a candidate and a respective one of a plurality of controls, each of the plurality of controls known to bind with a target. For each pair, values of at least two datatypes of the candidate may be compared to values of the at least two datatypes of the respective one of the plurality of controls in the pair to generate a similarity score for each of the at least two datatypes of each pair. Similarity scores may be converted to likelihood values indicating likelihood that the candidate and the controls have a shared target based on the respective one of the at least two datatypes. Tests may be performed to validate predictions regarding interactivity of candidates and targets.

Embodiments of the present technology include a method for testing a blood sample for sepsis. The method may include receiving a blood sample from an individual. The method may also include executing an instruction to analyze the blood sample for sepsis. In addition, the method may include measuring values of a set of characteristics in the blood sample. The set of characteristics being determined prior to measuring the values. The method may further include analyzing the values of the set of characteristics to produce a representation of a suspicion of sepsis. In addition, the method may include displaying the representation. Embodiments also include systems for testing blood sample for sepsis.