Patents Assigned to The Regents of the University of California Santa
  • Patent number: 11274077
    Abstract: Human lipoxygenases (LOXs) are a family of iron-containing enzymes involved in catalyzing the oxidation of polyunsaturated fatty acids to provide the corresponding bioactive hydroxyeicosatetraenoic acid (HETE) metabolites. These eicosanoid signaling molecules are involved in a number of physiologic responses such as platelet aggregation, inflammation, and cell proliferation. Platelet-type 12-(S)-LOX (12-LOX) is of particular interest because of its demonstrated role in skin diseases, diabetes, platelet hemostasis, thrombosis, and cancer. Disclosed herein is the identification and medicinal chemistry optimization of a 4-((2-hydroxy-3-methoxybenzyl)amino)benzenesulfonamide-based scaffold. The compounds display nM potency against 12-LOX and excellent selectivity over related lipoxygenases and cyclooxygenases. In addition to possessing favorable ADME properties, the compounds also inhibit PAR-4 induced aggregation and calcium mobilization in human platelets, and reduce 12-HETE in mouse/human beta cells.
    Type: Grant
    Filed: June 23, 2020
    Date of Patent: March 15, 2022
    Assignees: Eastern Virginia Medical School, The Regents of the University of California Santa, The United States of America Department of Health, Thomas Jefferson University
    Inventors: David J. Maloney, Diane K. Luci, Ajit Jadhav, Theodore Holman, Jerry L. Nadler, Michael Holinstat, David Taylor-Fishwick, Anton Simeonov, Adam Yasgar, Steven McKenzie
  • Patent number: 10752581
    Abstract: Human lipoxygenases (LOXs) are a family of iron-containing enzymes involved in catalyzing the oxidation of polyunsaturated fatty acids to provide the corresponding bioactive hydroxyeicosatetraenoic acid (HETE) metabolites. These eicosanoid signaling molecules are involved in a number of physiologic responses such as platelet aggregation, inflammation, and cell proliferation. Platelet-type 12-(S)-LOX (12-LOX) is of particular interest because of its demonstrated role in skin diseases, diabetes, platelet hemostasis, thrombosis, and cancer. Disclosed herein is the identification and medicinal chemistry optimization of a 4-((2-hydroxy-3-methoxybenzyl)amino)benzenesulfonamide-based scaffold. The compounds display nM potency against 12-LOX and excellent selectivity over related lipoxygenases and cyclooxygenases. In addition to possessing favorable ADME properties, the compounds also inhibit PAR-4 induced aggregation and calcium mobilization in human platelets, and reduce 12-HETE in mouse/human beta cells.
    Type: Grant
    Filed: March 1, 2019
    Date of Patent: August 25, 2020
    Assignees: Eastern Virginia Medical School, The Regents of the University of California Santa, The United States of America Department of Health, Thomas Jefferson University
    Inventors: David J. Maloney, Diane K. Luci, Ajit Jadhav, Theodore Holman, Jerry L. Nadler, Michael Holinstat, David Taylor-Fishwick, Anton Simeonov, Adam Yasgar, Steven McKenzie
  • Patent number: 10266488
    Abstract: Human lipoxygenases (LOXs) are a family of iron-containing enzymes involved in catalyzing the oxidation of polyunsaturated fatty acids to provide the corresponding bioactive hydroxyeicosatetraenoic acid (HETE) metabolites. These eicosanoid signaling molecules are involved in a number of physiologic responses such as platelet aggregation, inflammation, and cell proliferation. Platelet-type 12-(S)-LOX (12-LOX) is of particular interest because of its demonstrated role in skin diseases, diabetes, platelet hemostasis, thrombosis, and cancer. Disclosed herein is the identification and medicinal chemistry optimization of a 4-((2-hydroxy-3-methoxybenzyl)amino)benzenesulfonamide-based scaffold. The compounds display nM potency against 12-LOX and excellent selectivity over related lipoxygenases and cyclooxygenases. In addition to possessing favorable ADME properties, the compounds also inhibit PAR-4 induced aggregation and calcium mobilization in human platelets, and reduce 12-HETE in mouse/human beta cells.
    Type: Grant
    Filed: October 10, 2014
    Date of Patent: April 23, 2019
    Assignees: Eastern Virginia Medical School, The Regents of the University of California Santa Cruz, The United States of America Department of Health and Human Services, Thomas Jefferson University
    Inventors: David J. Maloney, Diane K. Luci, Ajit Jadhav, Theodore Holman, Jerry L. Nadler, Michael Holinstat, David Taylor-Fishwick, Anton Simeonov, Adam Yasgar, Steven McKenzie
  • Patent number: 10080745
    Abstract: Described herein are assays for identifying piericidins and piericidin compositions.
    Type: Grant
    Filed: November 24, 2014
    Date of Patent: September 25, 2018
    Assignee: The Regents of the University of California Santa Cruz
    Inventors: Victoria Auerbuch Stone, Roger G. Linington, Weng Ruh Wong, Miles C. Duncan
  • Publication number: 20170157099
    Abstract: Described herein are assays for identifying piericidins and piericidin compositions.
    Type: Application
    Filed: November 24, 2014
    Publication date: June 8, 2017
    Applicant: The Regents of the University of California Santa Cruz
    Inventors: Victoria Auerbach Stone, Roger G. Linington, Weng Ruh Wong, Miles C. Duncan
  • Publication number: 20160168137
    Abstract: A systematic screening has revealed a family of compounds that exhibit inhibitory effects on 12/15-lipoxygenase. Accordingly, the present invention relates to the use of these compounds for the inhibition of 12/15-lipoxygenase and for the treatment of a condition involving 12/15-lipoxygenase. Exemplary conditions include, but are not limited to, stroke, periventricular leukomalacia, cardiac arrest with resuscitation, atherosclerosis, Parkinson's disease, Alzheimer's disease, and breast cancer.
    Type: Application
    Filed: February 19, 2016
    Publication date: June 16, 2016
    Applicants: THE GENERAL HOSPITAL CORPORATION, THE REGENTS OF THE UNIVERSITY OF CALIFORNIA, SANTA CRUZ, THE UNITED STATES OF AMERICA, AS REPRESENTED BY THE SECRETARY, DEPARTMENT OF HEALTH AND HUMAN SERV
    Inventors: Klaus VAN LEYEN, Theodore R. HOLMAN, David J. MALONEY, Ajit JADHAV, Anton SIMEONOV, Ganesha RAI
  • Publication number: 20120104100
    Abstract: Barcode decoding bypassing binarization is provided which relies on deformable templates to makes use of all the gray level information of each pixel in the barcode image. Parameterization of the deformable templates allow for efficiently performing maximum likelihood estimation independently on each barcode digit and enforcing spatial coherence across the barcode digits.
    Type: Application
    Filed: July 15, 2010
    Publication date: May 3, 2012
    Applicant: THE REGENTS OF THE UNIVERSITY OF CALIFORNIA, SANTA CRUZ
    Inventors: Orazio Gallo, Roberto Manduchi
  • Patent number: 7940282
    Abstract: A method of creating a super-resolved color image from multiple lower-resolution color images is provided by combining a data fidelity penalty term, a spatial luminance penalty term, a spatial chrominance penalty term, and an inter-color dependencies penalty term to create an overall cost function. The data fidelity penalty term is an L1 norm penalty term to enforce similarities between raw data and a high-resolution image estimate, the spatial luminance penalty term is to encourage sharp edges in a luminance component to the high-resolution image, the spatial chrominance penalty term is to encourage smoothness in a chrominance component of the high-resolution image, and the inter-color dependencies penalty term is to encourage homogeneity of an edge location and orientation in different color bands. A steepest descent optimization is applied to the overall cost function for minimization by applying a derivative to each color band while the other color bands constant.
    Type: Grant
    Filed: August 17, 2006
    Date of Patent: May 10, 2011
    Assignee: The Regents of the University of California, Santa Cruz
    Inventors: Peyman Milanfar, Sina Farsiu, Michael Elad
  • Patent number: 7889950
    Abstract: A method of image processing using kernel regression is provided. An image gradient is estimated from original data that is analyzed for local structures by computing a scaling parameter, a rotation parameter and an elongation parameter using singular value decomposition on local gradients of the estimated gradients locally to provide steering matrices. A steering kernel regression having steering matrices is applied to the original data to provide a reconstructed image and new image gradients. The new gradients are analyzed using singular value decomposition to provide new steering matrices. The steering kernel regression with the new steering matrices is applied to the noisy data to provide a new reconstructed image and further new gradients. The last two steps are repeated up to ten iterations to denoise the original noisy data and improve the local image structure.
    Type: Grant
    Filed: August 30, 2006
    Date of Patent: February 15, 2011
    Assignee: The Regents of the University of California, Santa Cruz
    Inventors: Peyman Milanfar, Hiroyuki Takeda, Sina Farslu
  • Patent number: 7627841
    Abstract: The temperature distribution associated with a design of an integrated circuit is calculated by convoluting a surface power usage represented by a power matrix with a heat spreading function. The heat spreading function may be calculated from a simulation of a point source on the integrated circuit using a finite element analysis model of the integrated circuit or other techniques. To account for spatial variations on the chip, the heat spreading function may be made dependent on position using a position scaling function. Steady-state or transient temperature distributions may be computed by using a steady-state or transient heat spreading function. A single heat spreading function may be convolved with various alternative power maps to efficiently calculate temperature distributions for different designs. In an inverse problem, one can calculate the power map from an empirically measured temperature distribution and a heat spreading function using various de-convolution techniques.
    Type: Grant
    Filed: April 12, 2007
    Date of Patent: December 1, 2009
    Assignee: The Regents of the University of California, Santa Cruz
    Inventors: Ali Shakouri, Travis Kemper, Yan Zhang, Peyman Milanfar, Virginia Martin Hériz, Xi Wang
  • Patent number: 7565634
    Abstract: The application concerns prototyped custom Programmable Logic Devices (Pills) for Boolean satisfiability (SAT) problems. This approach is based on the use of clause evaluation circuits (CECs), which indicate whether or not a single variable of the clause is asserted by the clause, and variable evaluation circuits (VECs), which identify the asserted variable of a clause having exactly one variable asserted by the clause. Scaling is provided by the use of partial CEC and VEC circuits.
    Type: Grant
    Filed: October 20, 2005
    Date of Patent: July 21, 2009
    Assignee: The Regents of the University of California, Santa Cruz
    Inventors: Mark J. Boyd, Tracy Larrabee
  • Patent number: 7477802
    Abstract: A computer method of creating a super-resolved grayscale image from lower-resolution images using an L1 norm data fidelity penalty term to enforce similarities between low and a high-resolution image estimates is provided. A spatial penalty term encourages sharp edges in the high-resolution image, the data fidelity penalty term is applied to space invariant point spread function, translational, affine, projective and dense motion models including fusing the lower-resolution images, to estimate a blurred higher-resolution image and then a deblurred image. The data fidelity penalty term uses the L1 norm in a likelihood fidelity term for motion estimation errors. The spatial penalty term uses bilateral-TV regularization with an image having horizontal and vertical pixel-shift terms, and a scalar weight between 0 and 1. The penalty terms create an overall cost function having steepest descent optimization applied for minimization. Direct image operator effects replace matrices for speed and efficiency.
    Type: Grant
    Filed: November 16, 2006
    Date of Patent: January 13, 2009
    Assignee: The Regents of the University of California, Santa Cruz
    Inventors: Peyman Milanfar, Sina Farsiu, Michael Elad, Michael D. Robinson
  • Patent number: 7412107
    Abstract: An integrated method for both super-resolution and multi-frame demosaicing includes an image fusion followed by simultaneous deblurring and interpolation. For the case of color super-resolution, the first step involves application of recursive image fusion separately on the three different color layers. The second step is based on minimizing a maximum a posteriori (MAP) cost function. In one embodiment, the MAP cost function is composed of several terms: a data fidelity penalty term that penalizes dissimilarity between the raw data and the super-resolved estimate, a luminance penalty term that favors sharp edges in the luminance component of the image, a chrominance penalty term that favors low spatial frequency changes in the chrominance component of the image, and an orientation penalty term that favors similar edge orientations across the color channels. The method is also applicable to color super-resolution (without demosaicing), where the low-quality input images are already demosaiced.
    Type: Grant
    Filed: December 12, 2005
    Date of Patent: August 12, 2008
    Assignee: The Regents of the University of California, Santa Cruz
    Inventors: Peyman Milanfar, Sina Farsiu, Michael Elad
  • Patent number: 7379612
    Abstract: A method is provided of solving the dynamic super-resolution (SR) problem of reconstructing a high-quality set of monochromatic or color superresolved images from low-quality monochromatic, color, or mosaiced frames. The invention includes a joint method for simultaneous SR, deblurring, and demosaicing, this way taking into account practical color measurements encountered in video sequences. For the case of translational motion and common space-invariant blur, the proposed invention is based on a very fast and memory efficient approximation of the Kalman filter (KF). Experimental results on both simulated and real data are supplied, demonstrating the invention algorithms, and their strength.
    Type: Grant
    Filed: October 19, 2006
    Date of Patent: May 27, 2008
    Assignee: The Regents of the University of California, Santa Cruz
    Inventors: Peyman Milanfar, Sina Farsiu, Michael Elad