Cray Incorporated

Hewlett Packard Enterprise Development LP

Christopher Douglas Rickett

David Mizell

Andrew Steven Kopser

Sreenivas Rangan Sukumar

Kristyn J Maschhoff

Systems and methods disclosed herein may include a parallel-processing graph-database solution for protein-sequence analytics to determine a viable therapeutic for a given condition, and may include: determining a protein sequence for the given condition; using sequence database to compare a query sequence of the sequence of the given condition with sequences of other known proteins in the sequence database using the sequence database to determine a similarity of the query sequence with sequences of the other known proteins in the sequence database based on the comparison; and querying a graph database based on the similarity of sequences to identify potential therapeutics that could be have an inhibitory effect on the given condition.

Massively parallel processing database for sequence and graph data structures applied to rapid-response drug repurposing

A method and system for identifying results of a query that includes a type predicate is provided. A search system maintains a collection of facts that includes a triple for each fact and a type table that maps entities of the facts to their corresponding type. The search system uses the type table to speed up the process of identifying the search results when the query includes a non-type query triple and a type query triple. A type query triple is a triple that has a type predicate, rather than a non-type predicate. To execute a query that contains a non-type query triple and a type query triple, the search system identifies the triples of the collection that match the non-type query triple. The search system then uses the type table to determine which of the identified triples match the type query triple for inclusion in the search results.

Augmenting queries when searching a semantic database

A method and system for inferring facts in parallel in a multiprocessor computing environment is provided. An inference system infers facts by applying rules to a collection of existing facts. For each existing fact, the inference system schedules a thread to apply the rules to that existing fact. As a thread infers a new fact (i.e., one that is not already in the collection of facts), the thread adds that inferred fact to the collection of facts. When a thread adds a new fact to the collection, the thread also applies the rules to that new fact. After the threads complete execution, the inference system may apply the rules to the facts of the collection, including the newly inferred facts, by again launching a thread for each fact to apply the rules to that fact. The inference system performs this processing iteratively until a termination condition is satisfied.

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Bloomington, IN, United States of America

Christopher Douglas Rickett