Patents by Inventor Shawn Szyjka
Shawn Szyjka 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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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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Publication number: 20200370058Abstract: The present disclosure provides a HTP genomic engineering platform for improving Escherichia coli. 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: June 6, 2018Publication date: November 26, 2020Inventors: Matthew Davis, Christy Wisnewski, Patrick Westfall, Zach Serber, Erik Jedediah Dean, Shawn Manchester, Katherine Gora, Erin Shellman, Aaron Kimball, Shawn Szyjka, Barbara Frewen, Thomas Treynor, Michael Flashman, Robert Haushalter, Stacy-Anne Morgan, Michael Blaisse, Prabha Ramakrishnan, Kyle Rothschild-Mancinelli, Youngnyun Kim
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Publication number: 20200362346Abstract: A CRISPR system is successfully used to modify the genomes of a gram-positive bacterium, such as a species of the Corynebacterium genus. Methods for modifying Corynebacterium species include single-nucleotide changes, creating gene deletions and/or insertions.Type: ApplicationFiled: July 30, 2020Publication date: November 19, 2020Inventors: Stephen BLASKOWSKI, Robert COATES, Kedar PATEL, Hendrik Marinus VAN ROSSUM, Shawn SZYJKA
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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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Publication number: 20200283780Abstract: The present invention relates to methods for editing the genome of a microbial host cell in successive rounds of transformation. The method allows the introduction of genetic edits into the genome of a microbial host cell in an iterative fashion that does not require the use of functional counterselection following at least one round of transformation. It can be used to rapidly stack genetic edits in the genome of a microbial host cell. Kits for performing the methods are also disclosed.Type: ApplicationFiled: March 20, 2020Publication date: September 10, 2020Inventors: Stephen BLASKOWSKI, Sara da Luz Areosa CLETO, Cameron Coates, Aaron Miller, Sharon Nademanee, Melissa Netwal, Kedar Patel, Shawn Szyjka, Philip Weyman, Solomon Henry Stonebloom, Colin Scott Maxwell, Elizabeth Lauren Meier
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Publication number: 20200283802Abstract: The present invention relates to methods for editing the genome of a microbial host cell in one or more rounds of transformation. The method allows the introduction of genetic edits into the genome of a microbial host cell in a pooled and/or iterative fashion that does not require the use of functional counterselection following at least one round of transformation. It can be used to rapidly stack genetic edits in the genome of a microbial host cell. Compositions and kits for performing the methods are also disclosed.Type: ApplicationFiled: March 20, 2020Publication date: September 10, 2020Inventors: Stephen BLASKOWSKI, Sara da Luz Areosa Cleto, Cameron Coates, Aaron Miller, Sharon Nademanee, Melissa Netwal, Kedar Patel, Shawn Szyjka, Philip Weyman, Solomon Henry Stonebloom, Colin Scott Maxwell, Elizabeth Lauren Meier
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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: 20200056191Abstract: The disclosure describes methods, compositions, and kits for high throughput DNA assembly reactions in vitro. The disclosure further describes modular CRISPR DNA constructs comprising modular insert DNA parts flanked by cloning tag segments comprising pre-validated CRISPR protospacer/protospacer adjacent motif sequence combinations. High throughput methods of CRISPRi and CRISPRa are also disclosed.Type: ApplicationFiled: August 15, 2019Publication date: February 20, 2020Inventors: Brian Chaikind, Hendrik M. Van Rossum, Aaron Miller, Paul Perkovich, Shawn Szyjka, Kedar Patel
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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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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: 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