Patents Assigned to Skolkovo Institute of Science and Technology
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Patent number: 11773412Abstract: The invention provides for systems, methods, and compositions for targeting nucleic acids. In particular, the invention provides non-naturally occurring or engineered RNA-targeting systems comprising a novel RNA-targeting CRISPR effector protein and at least one targeting nucleic acid component like a guide RNA.Type: GrantFiled: June 24, 2022Date of Patent: October 3, 2023Assignees: The Broad Institute, Inc., Massachusetts Institute of Technology, President and Fellows of Harvard College, Rutgers, the State University of New Jersey, Skolkovo Institute of Science and Technology, The United States of America, as represented by the Secretary, Department of Health and Human ServicesInventors: Konstantin Severinov, Feng Zhang, Yuri I. Wolf, Sergey Shmakov, Ekaterina Semenova, Leonid Minakhin, Kira S. Makarova, Eugene Koonin, Silvana Konermann, Julia Joung, Jonathan S. Gootenberg, Omar O. Abudayyeh, Eric S. Lander
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Publication number: 20230090080Abstract: A method for path planning for a machine to traverse an area includes calculating a spline trajectory based on a plurality of control points of a first path. A subset of the plurality of control points having an equal step is selected. A direction of the normal to the spline trajectory for each of the selected points is determined. Control points within the subset that are a solution to a second order cone programming class optimization problem along each normal to the spline trajectory are searched for and the spline trajectory is extended to a border of the area to create a second path adjacent to the first path based on the control points. The optimization problem can minimize the weighted sum of the average curvature at junction points of elementary sections of the spline trajectory and/or the average width overlap of adjacent paths.Type: ApplicationFiled: September 23, 2021Publication date: March 23, 2023Applicants: Topcon Positioning Systems, Inc., The Skolkovo Institute of Science and TechnologyInventors: Lev Borisovich RAPOPORT, Timofey TORMAGOV, Ivan Giovanni DI FEDERICO
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Patent number: 11421250Abstract: The invention provides for systems, methods, and compositions for targeting nucleic acids. In particular, the invention provides non-naturally occurring or engineered RNA-targeting systems comprising a novel RNA-targeting CRISPR effector protein and at least one targeting nucleic acid component like a guide RNA.Type: GrantFiled: December 16, 2017Date of Patent: August 23, 2022Assignees: The Broad Institute, Inc., Massachusetts Institute of Technology, President and Fellows of Harvard College, Rutgers, The State University of New Jersey, Skolkovo Institute of Science and Technology, The United States of America, as represented by the Secretary, Department of Health and Human ServicesInventors: Konstantin Severinov, Feng Zhang, Yuri I. Wolf, Sergey Shmakov, Ekaterina Semenova, Leonid Minakhin, Kira S. Makarova, Eugene Koonin, Silvana Konermann, Julia Joung, Jonathan S. Gootenberg, Omar O. Abudayyeh, Eric S. Lander
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Publication number: 20210398018Abstract: Methods for training statistical models for the bandgap and energy dispersion of materials as a function of an applied strain, as well as uses of these trained statistical models for elastic strain engineering of materials, are described.Type: ApplicationFiled: October 12, 2018Publication date: December 23, 2021Applicants: Massachusetts Institute of Technology, Skolkovo Institute of Science and Technology, Nanyang Technological UniversityInventors: Ming Dao, Ju Li, Zhe Shi, Evgenii Tsymbalov, Alexander Shapeev, Subra Suresh
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Patent number: 11180751Abstract: The invention provides for systems, methods, and compositions for targeting nucleic acids. In particular, the invention provides non-naturally occurring or engineered DNA or RNA-targeting systems comprising a novel DNA or RNA-targeting CRISPR effector protein and at least one targeting nucleic acid component like a guide RNA.Type: GrantFiled: December 14, 2017Date of Patent: November 23, 2021Assignees: The Broad Institute, Inc., Massachusetts Institute of Technology, President and Fellows of Harvard College, Rutgers, the State University of New Jersey, The United States of America, as represented by the Secretary, Department of Health and Human Services, Skolkovo Institute of Science and TechnologyInventors: Eugene Koonin, Feng Zhang, Yuri I. Wolf, Sergey Shmakov, Konstantin Severinov, Ekaterina Semenova, Leonid Minakhin, Kira S. Makarova, Silvana Konermann, Julia Joung, Jonathan S. Gootenberg, Omar O. Abudayyeh
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Patent number: 11087967Abstract: The invention discloses design of the open-type dynamically harmonized trap directly incorporated into the body of vacuum chamber of Fourier transform ion cyclotron resonance mass analyzer. The proposed trap provides ultra-high resolution of the mass spectrometer as well as improves performance of the instrument, increases pumping rate (accelerates evacuation), eliminates necessity in vacuum feed-through, and increases maximum trap resolution limit at a fixed magnetic field.Type: GrantFiled: October 6, 2020Date of Patent: August 10, 2021Assignee: SKOLKOVO INSTITUTE OF SCIENCE AND TECHNOLOGYInventors: Evgeniy Nikolaevich Nikolaev, Anton Valerevich Lioznov, Oleg Nikolaevich Kharybin, Gleb Nikolaevich Vladimirov
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Patent number: 11060115Abstract: The invention provides for systems, methods, and compositions for targeting nucleic acids. In particular, the invention provides non-naturally occurring or engineered RNA-targeting systems comprising a novel RNA-targeting CRISPR effector protein and at least one targeting nucleic acid component like a guide RNA.Type: GrantFiled: April 7, 2017Date of Patent: July 13, 2021Assignees: The Broad Institute, Inc., Massachusetts Institute of Technology, President and Fellows of Harvard College, Rutgers, the State University of New Jersey, Skolkovo Institute of Science and Technology, The United States of America, as represented by the Secretary, Department of Health and Human ServicesInventors: Konstantin Severinov, Feng Zhang, Yuri I. Wolf, Sergey Shmakov, Ekaterina Semenova, Leonid Minakhin, Kira S. Makarova, Eugene Koonin, Silvana Konermann, Julia Joung, Jonathan S. Gootenberg, Omar O. Abudayyeh, Eric S. Lander