Abstract: The present disclosure describes methods for generating microbial strains expressing a heterologous bacterial hemoglobin gene that produce biomolecules of interest. In aspects, the disclosure provides novel bacterial strains, which express a heterologous bacterial hemoglobin gene whose expression is controlled by a native Corynebacterium glutamicum promoter or a mutant promoter derived therefrom. Also provided herein are methods for producing a library of bacterial hemoglobin genes using a promoter ladder comprising a plurality of promoters derived from Corynebacterium glutamicum.

Abstract: The present disclosure describes methods for generating microbial strains expressing a heterologous bacterial glucose permease gene that produce biomolecules of interest. In aspects, the disclosure provides novel bacterial strains, which express a heterologous bacterial glucose permease gene whose expression is controlled by a native Corynebacterium glutamicum promoter or a mutant promoter derived therefrom. Also provided herein are methods for producing a library of bacterial glucose permease genes using a promoter ladder comprising a plurality of promoters derived from Corynebacterium glutamicum.

Abstract: Systems and methods for predicting the viability of producing target molecules in a host organism are provided. A starting metabolite set for the host and a reaction set are obtained. Included in a filtered reaction set are reactions that are indicated as catalyzed by one or more corresponding catalysts that are themselves indicated as likely available to catalyze the reactions in the host organism. In each processing step, pursuant to the reactions of the filtered reaction set, data representing the starting metabolites and metabolites generated in previous processing steps is processed, to generate data representing one or more viable target molecules.

Abstract: 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.

Abstract: 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.

Abstract: The disclosure provides compositions and methods for producing natural products in microorganisms that are otherwise unexpressed, poorly expressed or poorly transcribed. In particular aspects, the disclosure provides compositions and methods for activating a silent gene or gene cluster with a bacteriophage and/or Streptomyces Antibiotic Regulatory Protein (SARP) transcription factor.

Abstract: 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.

Abstract: The present disclosure describes methods for generating microbial strains expressing a heterologous bacterial glucose permease gene that produce biomolecules of interest. In aspects, the disclosure provides novel bacterial strains, which express a heterologous bacterial glucose permease gene whose expression is controlled by a native Corynebacterium glutamicum promoter or a mutant promoter derived therefrom. Also provided herein are methods for producing a library of bacterial glucose permease genes using a promoter ladder comprising a plurality of promoters derived from Corynebacterium glutamicum.

Abstract: Systems and methods for enabling construction of complex Boolean chemical substructure queries in a structured graphical user interface are provided. The chemical substructures (molecules) may be represented graphically in standard molecular notation, and may be arranged horizontally and vertically on the interface, along with Boolean logical operators. Boolean logical operators of a first type may logically associate molecules arranged in horizontal fashion to form row queries, whereas Boolean logical operators of a different, second type may logically associate the row queries to form a composite query to be applied to a database of molecules. The operators of the first type may comprise disjunctive operators, whereas the operators of the second type may comprise conjunctive operators.

Abstract: Disclosed are apparatuses, systems, and methods for performing electroporation.

Abstract: 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.

Abstract: 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.

Abstract: Systems and methods for enabling construction of complex Boolean chemical substructure queries in a structured graphical user interface are provided. The chemical substructures (molecules) may be represented graphically in standard molecular notation, and may be arranged horizontally and vertically on the interface, along with Boolean logical operators. Boolean logical operators of a first type may logically associate molecules arranged in horizontal fashion to form row queries, whereas Boolean logical operators of a different, second type may logically associate the row queries to form a composite query to be applied to a database of molecules. The operators of the first type may comprise disjunctive operators, whereas the operators of the second type may comprise conjunctive operators.

Abstract: The generation of a factory order to control production of nucleotide sequences by a gene manufacturing system includes receiving an expression indicating an operation on sequence operands, each representing at least one nucleotide sequence part, evaluating the expression to a sequence specification, wherein the sequence specification comprises a data structure including one or more first-level operations and one or more second-level operations, and generating the factory order based upon execution of the one or more first-level operations and the one or more second-level operations. In a recursive manner, the one or more first-level operations operate on at least one first-level sequence operand, the value of which is resolved by execution of one or more of the second-level operations. The factory order may then be provided to the gene manufacturing system to assemble the sequence parts into nucleotide sequences represented by the sequence specification.