Cytokinetics, Inc.

Other

Cynthia L Adams

Eugeni Vaisberg

Anne M Crompton

James H Sabry

Larry C Mattheakis

Jay Trautman

Jinhong Fan

Aibing Rao

Gregg Peter Solar

Donald R Oestreicher

A handheld dust-removing device, including a main body to remove at least one particle of dust disposed on a surface of an air conditioning filter, and a handle at least partially disposed within at least a portion of the main body to allow a user to move the main body across the surface of an air conditioning filter to remove the at least one particle of dust.

Handheld dust-removing device

Cell based assays are used to assess the hepatotoxicity of a stimulus. Imaging technologies are used to analyze the effects of a stimulus on hepatocytes. Image analysis may characterize the stimulus on the basis of whether it is hepatotoxic, and if so what type of pathology is exhibited; e.g., apoptosis, necrosis, cholestasis, and/or steatosis.

Predicting hepatotoxicity using cell based assays

A method for generating stimulus response curves (e.g., dose response curves) shows how the phenotype of one or more cells change in response to varying levels of the stimulus. Each 'point' on the curve represents quantitative phenotype for cell(s) at a particular level of stimulus (e.g., dose of a therapeutic). The quantitative phenotypes are multivariate phenotypic representations of the cell(s). They include various features of the cell(s) obtained by image analysis. Such features often include basic parameters obtained from images (e.g., cell shape, nucleus area, Golgi texture) and/or biological characterizations derived from the basic parameters (e.g., cell cycle state, mitotic index, etc.). The stimulus response curves may be compared to allow classification of stimuli and identify subtle differences in related stimuli. To facilitate the comparison, it may be desirable to present the response curves in a principal component space.

Characterizing biological stimuli by response curves

A system for acquiring knowledge from cellular information. The system has a database comprising a database management module (&ldquo;DBMS&rdquo;). The system also has a variety of modules, including a population module coupled to the DBMS for categorizing and storing a plurality of features (e.g., cell size, distance between cells, cell population, cell type) from an image acquisition device into the database. The system has a translation module coupled to the DBMS for defining a descriptor from a set of selected features from the plurality of features. In a specific embodiment, the descriptor is for a known or unknown compound, e.g., drug. A prediction module is coupled to the DBMS for selecting one of a plurality of a descriptors from known and unknown compounds from the database based upon a selected descriptor from a selected compound. The selected compound may be one that is useful for treatment of human beings or the like.

Database system for predictive cellular bioinformatics

According to the present invention, computer based techniques for using information technology in therapeutics or drug discovery. In an exemplary embodiment, computer based techniques for determining information about the properties of substances based upon information about structure of living or non-living cells exposed to substances are provided. Computer software according to the present invention enables researchers and/or scientists to identify promising candidates in the search for new and better medicines or treatments using, for example, a cellular informatics database.

Growing community of inventors

Palo Alto, CA, United States of America

Cynthia L Adams