Patents by Inventor Kenneth S. Bruno
Kenneth S. Bruno has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Publication number: 20210102193Abstract: The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.Type: ApplicationFiled: December 18, 2020Publication date: April 8, 2021Inventors: Zach SERBER, Erik Jedediah DEAN, Shawn MANCHESTER, Katherine GORA, Michael FLASHMAN, Erin SHELLMAN, Aaron KIMBALL, Shawn SZYJKA, Barbara FREWEN, Thomas TREYNOR, Kenneth S. BRUNO
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Patent number: 10968445Abstract: The present disclosure provides machine learning techniques for computationally predicting the phenotypic performance of combinations of genetic variations and for designing new improved host cells. The machine learning models and methods described herein are host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any host cell parameter of interest.Type: GrantFiled: October 15, 2020Date of Patent: April 6, 2021Assignee: Zymergen Inc.Inventors: Zach Serber, Erik Jedediah Dean, Shawn Manchester, Katherine Gora, Michael Flashman, Erin Shellman, Aaron Kimball, Shawn Szyjka, Barbara Frewen, Thomas Treynor, Kenneth S. Bruno
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Patent number: 10954511Abstract: A HTP genomic engineering platform for improving filamentous fungal cells that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols is provided. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. Methods for isolating clonal populations derived from individual fungal spores are also provided.Type: GrantFiled: October 11, 2019Date of Patent: March 23, 2021Assignee: Zymergen Inc.Inventors: Vytas SunSpiral, Jennifer Fredlund, Hassan Abdulla, Paolo Boccazzi, Sean Poust, Sara da Luz Areosa Cleto, Brian Chaikind, Dylan Vaughan, Kenneth S. Bruno, Patrick Westfall, Edyta Szewczyk, Kyle Rothschild-Mancinelli, Arthur Muir Fong, III
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Publication number: 20210024918Abstract: The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.Type: ApplicationFiled: October 15, 2020Publication date: January 28, 2021Inventors: Zach SERBER, Erik Jedediah Dean, Shawn Manchester, Katherine Gora, Michael Flashman, Erin Shellman, Aaron Kimball, Shawn Szyjka, Barbara Frewen, Thomas Treynor, Kenneth S. Bruno
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Patent number: 10883101Abstract: The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.Type: GrantFiled: May 29, 2020Date of Patent: January 5, 2021Assignee: Zymergen Inc.Inventors: Zach Serber, Erik Jedediah Dean, Shawn Manchester, Katherine Gora, Michael Flashman, Erin Shellman, Aaron Kimball, Shawn Szyjka, Barbara Frewen, Thomas Treynor, Kenneth S. Bruno
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Patent number: 10808243Abstract: The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.Type: GrantFiled: April 2, 2020Date of Patent: October 20, 2020Assignee: Zymergen Inc.Inventors: Zach Serber, Erik Jedediah Dean, Shawn Manchester, Katherine Gora, Michael Flashman, Erin Shellman, Aaron Kimball, Shawn Szyjka, Barbara Frewen, Thomas Treynor, Kenneth S. Bruno
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Publication number: 20200291392Abstract: The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.Type: ApplicationFiled: May 29, 2020Publication date: September 17, 2020Inventors: ZACH SERBER, ERIK JEDEDIAH DEAN, SHAWN MANCHESTER, KATHERINE GORA, MICHAEL FLASHMAN, ERIN SHELLMAN, AARON KIMBALL, SHAWN SZYJKA, BARBARA FREWEN, THOMAS TREYNOR, KENNETH S. BRUNO
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Patent number: 10745694Abstract: The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.Type: GrantFiled: November 27, 2019Date of Patent: August 18, 2020Assignee: Zymergen Inc.Inventors: Zach Serber, Erik Jedediah Dean, Shawn Manchester, Katherine Gora, Michael Flashman, Erin Shellman, Aaron Kimball, Shawn Szyjka, Barbara Frewen, Thomas Treynor, Kenneth S. Bruno
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Publication number: 20200239873Abstract: The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.Type: ApplicationFiled: April 2, 2020Publication date: July 30, 2020Inventors: Zach SERBER, Erik Jedediah Dean, Shawn Manchester, Katherine Gora, Michael Flashman, Erin Shellman, Aaron Kimball, Shawn Szyjka, Barbara Frewen, Thomas Treynor, Kenneth S. Bruno
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Publication number: 20200149035Abstract: The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.Type: ApplicationFiled: November 27, 2019Publication date: May 14, 2020Inventors: Zach Serber, Erik Jedediah Dean, Shawn Manchester, Katherine Gora, Michael Flashman, Erin Shellman, Aaron Kimball, Shawn Szyjka, Barbara Frewen, Thomas Treynor, Kenneth S. Bruno
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Patent number: 10647980Abstract: The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.Type: GrantFiled: July 1, 2019Date of Patent: May 12, 2020Assignee: Zymergen Inc.Inventors: Zach Serber, Erik Jedediah Dean, Shawn Manchester, Katherine Gora, Michael Flashman, Erin Shellman, Aaron Kimball, Shawn Szyjka, Barbara Frewen, Thomas Treynor, Kenneth S. Bruno
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Publication number: 20200123535Abstract: The present disclosure provides a HTP genomic engineering platform for improving filamentous fungal cells that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition.Type: ApplicationFiled: December 20, 2019Publication date: April 23, 2020Inventors: Vytas SunSpiral, Jennifer Fredlund, Hassan Abdulla, Paolo Boccazzi, Sean Poust, Sara da Luz Areosa Cleto, Brian Chaikind, Dylan Vaughan, Kenneth S. Bruno, Patrick Westfall, Edyta Szewczyk, Kyle Rothschild-Mancinelli, Arthur Muir Fong, III
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Publication number: 20200071693Abstract: The present disclosure provides a HTP genomic engineering platform for improving filamentous fungal cells that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition.Type: ApplicationFiled: October 11, 2019Publication date: March 5, 2020Inventors: Vytas Sunspiral, Jennifer Fredlund, Hassan Abdulla, Paolo Boccazzi, Sean Poust, Sara da Luz Areaosa Cleto, Brian Chaikind, Dylan Vaughan, Kenneth S. Bruno, Patrick Westfall, Edyta Szewczyk, Kyle Rothschild-Mancinelli, Arthur Muir FONG, III
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Publication number: 20200048628Abstract: The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.Type: ApplicationFiled: October 28, 2019Publication date: February 13, 2020Inventors: Zach Serber, Erik Jedediah Dean, Shawn Manchester, Katherine Gora, Michael Flashman, Erin Shellman, Aaron Kimball, Shawn Szyjka, Barbara Frewen, Thomas Treynor, Kenneth S. Bruno
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Publication number: 20190376070Abstract: The present disclosure provides a microbial genomic engineering method and system for transforming, screening, and selecting filamentous fungal cells that have altered morphology and/or growth under specific growth conditions. The method and system utilize high-throughput (HTP) methods to produce filamentous fungal production strains with a desired morphological phenotype.Type: ApplicationFiled: June 6, 2019Publication date: December 12, 2019Inventors: Kenneth S. Bruno, Sachin Jain, Brandon Pfannenstiel, Edyta Szewczyk
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Patent number: 10457933Abstract: The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.Type: GrantFiled: March 16, 2018Date of Patent: October 29, 2019Assignee: Zymergen Inc.Inventors: Zach Serber, Erik Jedediah Dean, Shawn Manchester, Katherine Gora, Michael Flashman, Erin Shellman, Aaron Kimball, Shawn Szyjka, Barbara Frewen, Thomas Treynor, Kenneth S. Bruno
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Publication number: 20190323036Abstract: The present disclosure provides a high-throughput (HTP) microbial genomic engineering method and system for transforming, screening, and selecting filamentous fungal cells that utilizes automation. The method and system utilize HTP selection and counter-selection to purify homokaryotic transformed filamentous fungal cells. Furthermore, the present disclosure provides a method for producing and long-term storage of protoplasts derived from filamentous fungal cells.Type: ApplicationFiled: June 26, 2019Publication date: October 24, 2019Inventors: Kenneth S. BRUNO, Patrick WESTFALL, Edyta SZEWCZYK, Kyle ROTHSCHILD-MANCINELLI
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Publication number: 20190316117Abstract: The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.Type: ApplicationFiled: July 1, 2019Publication date: October 17, 2019Applicant: Zymergen Inc.Inventors: Zach Serber, Erik Jedediah Dean, Shawn Manchester, Katherine Gora, Michael Flashman, Erin Shellman, Aaron Kimball, Shawn Szyjka, Barbara Frewen, Thomas Treynor, Kenneth S. Bruno
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Patent number: 10336998Abstract: The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.Type: GrantFiled: March 16, 2018Date of Patent: July 2, 2019Assignee: Zymergen Inc.Inventors: Zach Serber, Erik Jedediah Dean, Shawn Manchester, Katherine Gora, Michael Flashman, Erin Shellman, Aaron Kimball, Shawn Szyjka, Barbara Frewen, Thomas Treynor, Kenneth S. Bruno
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Patent number: 10047358Abstract: The present disclosure provides a HTP microbial genomic engineering platform that is computationally driven and integrates molecular biology, automation, and advanced machine learning protocols. This integrative platform utilizes a suite of HTP molecular tool sets to create HTP genetic design libraries, which are derived from, inter alia, scientific insight and iterative pattern recognition. The HTP genomic engineering platform described herein is microbial strain host agnostic and therefore can be implemented across taxa. Furthermore, the disclosed platform can be implemented to modulate or improve any microbial host parameter of interest.Type: GrantFiled: March 16, 2018Date of Patent: August 14, 2018Assignee: Zymergen Inc.Inventors: Zach Serber, Erik Jedediah Dean, Shawn Manchester, Katherine Gora, Michael Flashman, Erin Shellman, Aaron Kimball, Shawn Szyjka, Barbara Frewen, Thomas Treynor, Kenneth S. Bruno