Abstract: Drug combinations, compositions including pharmaceutical compositions as well as methods of using and treating a viral infection, including one of the following: (1) atovaquone with a second group of substances consisting of ademetionine, albendazole, celastrol, cepharantine, chloroquine, cycloheximide, diethylstilbestrol, gemcitabine, homoharringtonine, hydroxy progesterone, imatinib, imipramine, indomethacin, ivermectin, niclosamide, raloxifene, sorafenib, and tipifarnib; or (2) cepharantine with a second group of substances consisting of ademetionine, albendazole, atovaquone, celastrol, chloroquine, cycloheximide, diethylstilbestrol, gemcitabine, homoharringtonine, hydroxy progesterone, imatinib, imipramine, indomethacin, ivermectin, raloxifene, sorafenib, and tipifarnib; or (3) one substance selected from a first group of substances consisting of ademetionine, albendazole, atovaquone, celastrol, cepharantine, chloroquine, cycloheximide, diethylstilbestrol, gemcitabine, homoharringtonine, hydroxy progester

Abstract: Drug combinations, compositions including pharmaceutical compositions as well as methods of using and treating a viral infection, the drug combinations including (1) protease inhibitors Camostat, Nafamostat, (2) modulators or inhibitors of intracellular steroid hormone receptors signaling pathways (steroid hormone receptor antagonists), (3) modulators or inhibitors of SKP2 protein, (4) modulators of poly(ADP-ribose) polymerases and (5) angiotensin 2 response modifiers.

Abstract: The disclosed subject matter relates to the construction and use of novel proteomics-based descriptor sets for analyzing high throughput proteomics derived pathogen-host interactome information and the use of these descriptor sets for identifying substances and substance combinations that have utility for treating and or preventing infections and diseases caused by a broad range of pathogens of diverse origins.

Abstract: The present disclosure relates to pharmaceutical compositions, pharmaceutical combinations and methods of treatment including zileuton, edaravone and atorvastatin compounds combined with nephrotoxicity-inducing antibiotic or anticancer drugs for treating bacterial infections and cancers.

Abstract: A method of tracking information flows through multiple network systems includes selecting a primary network system from a population of primary and secondary network systems, wherein each of the primary and secondary network systems include network nodes, selecting first selected characteristic features that identify network nodes of the primary network system that provide interaction between the selected primary network system and secondary network systems, identifying at least one secondary network system that is capable of interacting with the network nodes of the primary network system, subdividing the primary network into subnetwork systems based on identifying primary network nodes that provide interaction between the primary network system and secondary network nodes, identifying the subnetwork systems that are capable of interacting with one or more network nodes of the secondary network systems, identifying a subnetwork node count of the primary network nodes in each subnetwork, identifying objects

Abstract: Anti-inflammatory compositions that merely treat symptoms of inflammation and not its root causes have frequently been shown to impair healing processes and exacerbate disease. The present disclosure includes novel compositions, combinations and methods of treatment that overcome this shortcoming by down regulating excessive inflammation and by activating cellular functions supporting healing processes.

Abstract: The disclosed embodiments relate to data mining methods for determining economically valuable cause effect relationships between objects and properties associated with objects using co-occurrence frequency measurements of semantic terms characterizing observations of properties, effects or behaviors of objects in different environments and using these measurements as object descriptors in calculations determining object similarities.

Abstract: A method of tracking information flows through multiple network systems includes selecting a primary network system from a population of primary and secondary network systems, wherein each of the primary and secondary network systems include network nodes, selecting first selected characteristic features that identify network nodes of the primary network system that provide interaction between the selected primary network system and secondary network systems, identifying at least one secondary network system that is capable of interacting with the network nodes of the primary network system, subdividing the primary network into subnetwork systems based on identifying primary network nodes that provide interaction between the primary network system and secondary network nodes, identifying the subnetwork systems that are capable of interacting with one or more network nodes of the secondary network systems, identifying a subnetwork node count of the primary network nodes in each subnetwork, identifying objects