International Business Machines Corporation

The University of Texas System

Baylor College of Medicine

Olivier Lichtarge

Angela D Wilkins

William Scott Spangler

Meenakshi Nagarajan

Beth Levine

Lawrence A Donehower

Sanae Shoji-Kawata

Curtis R Pickering

Benjamin J Bachman

Sam J Regenbogen

Nick V Grishin

Beth C Levine

Lisa N Kinch

Ying Chen

Linda Ha Kato

Ioana Roxana Stanoi

Jacques Labrie

Teng-Kuei Hsu

Maria E Terron-Diaz

Panagiotis Katsonis

Amanda Michele Koire

Anbu Karani Adikesavan

A method and computer system for identifying genes associated with a phenotype includes obtaining data representing mutations in a cohort of subjects exhibiting a phenotype. An evolutionary action (EA) score is calculated for each mutation using the data obtained. For each gene in the cohort, respective distributions of the calculated EA scores are determined for mutations found in the gene. The determined distributions of EA scores are quantitatively compared within the cohort and with random distributions to establish comparison data. Based on the comparison data, distributions of EA scores are identified that are non-random, and linkage of each gene in the cohort to the phenotype is assessed based on the identified non-random distributions to identify genes associated with the phenotype. The phenotype can be a disease, such as cancer, and linkage of each gene in the cohort to the disease can be assessed to identify disease causing genes.

Identifying genes associated with a phenotype

An autophagy-inducing compound comprises an autophagy-inducing peptide comprising Beclin 1 peptides immediately N- and C-terminally flanked by moieties Rand R, respectively, wherein up to six of said peptide residues may be substituted, Rand Rdo not naturally flank the Beclin 1 residues, and F270 and F274 are optionally substituted and optionally linked. The compounds may be used to induce autophagy.

Autophagy-inducing peptide analogs

A method, system, and computer program product for event detection using roles and relationships of entities are provided in the illustrative embodiments. A training event and a set of entities participating in the training event are identified in a training data. For a first entity in the set of entities, a first role occupied by the entity in the event is determined. A behavior attribute is assigned to the first role. A relationship of the first role with a second role corresponding to a second entity in the set of entities is determined. An event rule is constructed to detect an event corresponding to the training event in new data and comprising a plurality of roles, behavior attributes, and the relationship. The plurality of roles includes the first role and the second role, and the plurality of behavior attributes includes the behavior attribute assigned to the first role.

Event detection using roles and relationships of entities

A new information in a language and relating to a subject matter domain is parsed into a constituent set of complete grammatical constructs. In a subset of the complete grammatical constructs, a set of linguistic styles of the language is identified according to a subset of a set of word-style associations related to the language and independent of the subject matter domain. A first weight is assigned to a first linguistic style and a second weight to a second linguistic style from the set of linguistic styles. A first intention information is mapped to the first style using a first style-intention rule, and a second intention information to the second style using a second style-intention rule. A complete grammatical construct in the subset is tagged with the first intention information responsive to a weight associated with the first intention information exceeding an intention selection threshold.

Intention detection in domain-specific information

An autophagy-inducing compound comprises an autophagy-inducing peptide comprising Beclin 1 residues 269-279 immediately N- and C-terminally flanked by moieties Rand R, respectively, wherein up to six of said residues may be substituted, Rand Rdo not naturally flank the Belclin 1 residues, and F270 and F274 are optionally substituted and optionally linked. The compounds may be used to induce autophagy.

An autophagy-inducing compound comprises an autophagy-inducing peptide comprising beclin-1 residues 269-283 and a heterologous moiety that promotes therapeutic stability or delivery of the compound. The compound may be used to induce autophagy and in assays with beclin-1 binding partners.

Autophagy-inducing peptide

Growing community of inventors

Houston, TX, United States of America

Olivier Lichtarge