Patents by Inventor Alexander Boulgakov
Alexander Boulgakov 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: 20230103041Abstract: The present disclosure provides methods of identifying and quantifying the peptides displayed by the major histocompatibility complex (MHC). Such methods may comprise the ability to determine the type, identity, and quantity of each peptide displayed by the MHC. In some embodiments, these methods may be used to develop an anti-cancer therapy or type the HLA of a patient. Also provided herein are compositions comprising peptides from the MHC which have been prepared for sequencing.Type: ApplicationFiled: October 27, 2022Publication date: March 30, 2023Applicant: BOARD OF REGENTS, THE UNIVERSITY OF TEXAS SYSTEMInventors: Edward MARCOTTE, Eric ANSLYN, Alexander BOULGAKOV, Angela M. BARDO, Siyuan Stella WANG, Jagannath SWAMINATHAN, Fan TU
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Publication number: 20220091130Abstract: Identifying proteins and peptides, and more specifically large-scale sequencing of single peptides in a mixture of diverse peptides at the single molecule level is an unmet challenge in the field of protein sequencing. Herein are methods for identifying amino acids in peptides, including peptides comprising unnatural amino acids. In one embodiment, the N-terminal amino acid is labeled with a first label and an internal amino acid is labeled with a second label. In some embodiments, the labels are fluorescent labels. In other embodiments, the internal amino acid is Lysine. In other embodiments, amino acids in peptides are identified based on the fluorescent signature for each peptide at the single molecule level.Type: ApplicationFiled: October 1, 2021Publication date: March 24, 2022Inventors: Edward MARCOTTE, Eric V. ANSLYN, Andrew ELLINGTON, Jagannath SWAMINATHAN, Erik HERNANDEZ, Amber JOHNSON, Alexander BOULGAKOV, James L. BACHMAN, Helen SEIFERT
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Patent number: 11162952Abstract: The disclosure concerns methods for identifying amino acids in peptides, including peptides including unnatural amino acids. Various aspects of the present disclosure provide compositions and methods for amino acid-type specific labeling, as well as methods for detecting the labels. Further disclosed herein are strategies for highly multiplexed, high-throughput peptide analysis.Type: GrantFiled: September 16, 2019Date of Patent: November 2, 2021Assignee: BOARD OF REGENTS, THE UNIVERSITY OF TEXAS SYSTEMInventors: Edward Marcotte, Eric V. Anslyn, Andrew Ellington, Jagannath Swaminathan, Erik Hernandez, Amber Johnson, Alexander Boulgakov, James L. Bachman, Helen Seifert
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Publication number: 20210215707Abstract: The present disclosure provides methods of identifying and quantifying the peptides displayed by the major histocompatibility complex (MHC). Such methods may comprise the ability to determine the type, identity, and quantity of each peptide displayed by the MHC. In some embodiments, these methods may be used to develop an anti-cancer therapy or type the HLA of a patient. Also provided herein are compositions comprising peptides from the MHC which have been prepared for sequencing.Type: ApplicationFiled: August 14, 2019Publication date: July 15, 2021Applicant: BOARD OF REGENTS, THE UNIVERSITY OF TEXAS SYSTEMInventors: Edward MARCOTTE, Eric ANSLYN, Alexander BOULGAKOV, Angela M. BARDO, Siyuan Stella WANG, Jagannath SWAMINATHAN, Fan TU
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Publication number: 20210132076Abstract: The present disclosure provides methods for molecular neighborhood detection of molecules, such as by iterative proximity ligation or split-and-pool methods for obtaining positional information.Type: ApplicationFiled: January 11, 2021Publication date: May 6, 2021Applicant: Board of Regents, The University of Texas SystemInventors: Edward MARCOTTE, Jagannath SWAMINATHAN, Andrew ELLINGTON, Alexander BOULGAKOV, Jon LAURENT, Raghav SHROFF, Erhu XIONG, Sanchita BHADRA, Brendan FLOYD, Eric ANSLYN
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Publication number: 20210072251Abstract: Identifying proteins and peptides, and more specifically large-scale sequencing of single peptides in a mixture of diverse peptides at the single molecule level is an unmet challenge in the field of protein sequencing. Herein are methods for identifying amino acids in peptides, including peptides with one or more unnatural amino acids. In one embodiment, the N-terminal amino acid is labeled with a first label and an internal amino acid is labeled with a second label. In some embodiments, the labels are fluorescent labels. In other embodiments, the internal amino acid is Lysine. In other embodiments, amino acids in peptides are identified based on the fluorescent signature for each peptide at the single molecule level.Type: ApplicationFiled: December 10, 2019Publication date: March 11, 2021Inventors: Edward MARCOTTE, Eric V. ANSLYN, Andrew ELLINGTON, Jagannath SWAMINATHAN, Erik HERNANDEZ, Amber JOHNSON, Alexander BOULGAKOV, James L. BACHMAN, Helen SEIFERT
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Publication number: 20200124613Abstract: Identifying proteins and peptides, and more specifically large-scale sequencing of single peptides in a mixture of diverse peptides at the single molecule level is an unmet challenge in the field of protein sequencing. Herein are methods for identifying amino acids in peptides, including peptides with one or more unnatural amino acids. In one embodiment, the N-terminal amino acid is labeled with a first label and an internal amino acid is labeled with a second label. In some embodiments, the labels are fluorescent labels. In other embodiments, the internal amino acid is Lysine. In other embodiments, amino acids in peptides are identified based on the fluorescent signature for each peptide at the single molecule level.Type: ApplicationFiled: December 10, 2019Publication date: April 23, 2020Inventors: Edward MARCOTTE, Eric V. ANSLYN, Andrew ELLINGTON, Jagannath SWAMINATHAN, Erik HERNANDEZ, Amber JOHNSON, Alexander BOULGAKOV, James L. BACHMAN, Helen SEIFERT
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Patent number: 10545153Abstract: Identifying proteins and peptides, and more specifically large-scale sequencing of single peptides in a mixture of diverse peptides at the single molecule level is an unmet challenge in the field of protein sequencing. Herein are methods for identifying amino acids in peptides, including peptides with one or more unnatural amino acids. In one embodiment, the N-terminal amino acid is labeled with a first label and an internal amino acid is labeled with a second label. In some embodiments, the labels are fluorescent labels. In other embodiments, the internal amino acid is Lysine. In other embodiments, amino acids in peptides are identified based on the fluorescent signature for each peptide at the single molecule level.Type: GrantFiled: September 15, 2015Date of Patent: January 28, 2020Assignee: BOARD OF REGENTS, THE UNIVERSITY OF TEXAS SYSTEMInventors: Edward Marcotte, Eric V. Anslyn, Andrew Ellington, Jagannath Swaminathan, Erik Hernandez, Amber Johnson, Alexander Boulgakov, James L. Bachman, Helen Seifert
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Publication number: 20200018768Abstract: Identifying proteins and peptides, and more specifically large-scale sequencing of single peptides in a mixture of diverse peptides at the single molecule level is an unmet challenge in the field of protein sequencing. Herein are methods for identifying amino acids in peptides, including peptides comprising unnatural amino acids. In one embodiment, the N-terminal amino acid is labeled with a first label and an internal amino acid is labeled with a second label. In some embodiments, the labels are fluorescent labels. In other embodiments, the internal amino acid is Lysine. In other embodiments, amino acids in peptides are identified based on the fluorescent signature for each peptide at the single molecule level.Type: ApplicationFiled: September 16, 2019Publication date: January 16, 2020Inventors: Edward MARCOTTE, Eric V. ANSLYN, Andrew ELLINGTON, Jagannath SWAMINATHAN, Erik HERNANDEZ, Amber JOHNSON, Alexander BOULGAKOV, James L. BACHMAN, Helen SEIFERT
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Publication number: 20170276686Abstract: The present invention relates to the field of identifying proteins and peptides, and more specifically large-scale sequencing of single peptides in a mixture of diverse peptides at the single molecule level. The present invention also relates to methods for identifying amino acids in peptides, including peptides comprising unnatural amino acids. In one embodiment, the present invention contemplates labeling the N-terminal amino acid with a first label and labeling an internal amino acid with a second label. In some embodiments, the labels are fluorescent labels. In other embodiments, the internal amino acid is Lysine. In other embodiments, amino acids in peptides are identified based on the fluorescent signature for each peptide at the single molecule level.Type: ApplicationFiled: September 15, 2015Publication date: September 28, 2017Inventors: Edward Marcotte, Eric V. Anslyn, Andrew Ellington, Jagannath Swaminathan, Erik Hernandez, Amber Johnson, Alexander Boulgakov, James L. Bachman, Helen Seifert