Patent classifications
G16C20/20
Streamlined method for analytical validation of biochemicals detected using an untargeted mass-spectrometry platform
A method of assessing the analytical performance of a biochemical measured using a multi-analyte assay is described. The method includes analytically validating a measurement of the level of a first biochemical in a sample, wherein the first biochemical has been previously analytically validated for three or more analytical validation conditions; measuring the level of a second biochemical in a sample, wherein the second biochemical is structurally or biochemically related to the first biochemical; and comparing validation parameters of the first biochemical with validation parameters of the second biochemical to determine whether the performance of the second biochemical is acceptable based on the comparison results.
Data Processing Device and Method for the Evaluation of Mass Spectrometry Data
A data processing device comprises a processor unit adapted to process a plurality of initial data vectors provided by a chromatograph and/or a mass spectrometer, the processing being carried out in one, two or more processing steps producing items of processed data, and a storage unit adapted to save and retrieve initial data vectors and/or items of processed data, in particular processed data vectors or identified compounds, and/or items of additional data, in particular properties of the sample introduced in the mass spectrometer. Each item of processed data and/or additional data is connected to at least one initial data vector, and wherein the processor unit is adapted to group, select and/or modify initial data vectors and/or items of processed data according to one or more items of additional data.
Data Processing Device and Method for the Evaluation of Mass Spectrometry Data
A data processing device comprises a processor unit adapted to process a plurality of initial data vectors provided by a chromatograph and/or a mass spectrometer, the processing being carried out in one, two or more processing steps producing items of processed data, and a storage unit adapted to save and retrieve initial data vectors and/or items of processed data, in particular processed data vectors or identified compounds, and/or items of additional data, in particular properties of the sample introduced in the mass spectrometer. Each item of processed data and/or additional data is connected to at least one initial data vector, and wherein the processor unit is adapted to group, select and/or modify initial data vectors and/or items of processed data according to one or more items of additional data.
PHYSICAL-CHEMICAL PROPERTY SCORING FOR STRUCTURE ELUCIDATION IN ION SPECTROMETRY
Disclosed is a method of associating molecular structures with signal peaks in spectrometry data obtained from separation according to one or more physical-chemical properties, comprising, as the case may be repeatedly: providing one or more signal peaks in acquired spectrometry data being related to an experimental value of mobility or a related property; ascertaining one or more molecular structure candidates suitable for being associated with the one or more signal peaks; providing by one of calculating, estimating, deriving and deducing for each molecular structure candidate a distribution of first match scores as a function of mobility; defining a presumed first match score for each molecular structure candidate as output from the respective distribution on applying the experimental value of mobility of the one or more signal peaks; and using the presumed first match score in a step of associating a molecular structure with the one or more signal peaks.
PHYSICAL-CHEMICAL PROPERTY SCORING FOR STRUCTURE ELUCIDATION IN ION SPECTROMETRY
Disclosed is a method of associating molecular structures with signal peaks in spectrometry data obtained from separation according to one or more physical-chemical properties, comprising, as the case may be repeatedly: providing one or more signal peaks in acquired spectrometry data being related to an experimental value of mobility or a related property; ascertaining one or more molecular structure candidates suitable for being associated with the one or more signal peaks; providing by one of calculating, estimating, deriving and deducing for each molecular structure candidate a distribution of first match scores as a function of mobility; defining a presumed first match score for each molecular structure candidate as output from the respective distribution on applying the experimental value of mobility of the one or more signal peaks; and using the presumed first match score in a step of associating a molecular structure with the one or more signal peaks.
DEEP IMITATION LEARNING FOR MOLECULAR INVERSE PROBLEMS
A method of determining a molecular structure of a compound includes obtaining a known molecular formula of the compound based on at least one of an observed spectrum and stoichiometric calculations. Edges that meet per-vertex constraints of the molecular formula are determined, and a plurality of candidate structures is generated based on the determined edges. The plurality of candidate structures are evaluated, and one candidate structure of the plurality of candidate structures is determined as the molecular structure of the compound based on the evaluation of the plurality of candidate structures.
DEEP IMITATION LEARNING FOR MOLECULAR INVERSE PROBLEMS
A method of determining a molecular structure of a compound includes obtaining a known molecular formula of the compound based on at least one of an observed spectrum and stoichiometric calculations. Edges that meet per-vertex constraints of the molecular formula are determined, and a plurality of candidate structures is generated based on the determined edges. The plurality of candidate structures are evaluated, and one candidate structure of the plurality of candidate structures is determined as the molecular structure of the compound based on the evaluation of the plurality of candidate structures.
METHOD OF DETERMINING THE THREE-DIMENSIONAL STRUCTURE OF MOLECULES IN CRYSTALLINE INCLUSION COMPLEXES
The invention is directed to a method for elucidating the three-dimensional structure of compounds by X-ray diffraction (X-ray SCD) characterized in that the compound is co-analyte crystallized with tetraaryladamantanes according to general formula I Wherein R and R′ are identical or different residues selected from the group consisting of O-R1, S-R1, NHR1, NR1R2, F, Cl, Br or I and R1, R2 stand for identical or different, substituted on not substituted aliphatic or aromatic residues having 1 to 25 carbon atoms and the the three-dimensional structure of the compound is obtained by X-ray diffraction (X-ray SCD).
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METHOD OF DETERMINING THE THREE-DIMENSIONAL STRUCTURE OF MOLECULES IN CRYSTALLINE INCLUSION COMPLEXES
The invention is directed to a method for elucidating the three-dimensional structure of compounds by X-ray diffraction (X-ray SCD) characterized in that the compound is co-analyte crystallized with tetraaryladamantanes according to general formula I Wherein R and R′ are identical or different residues selected from the group consisting of O-R1, S-R1, NHR1, NR1R2, F, Cl, Br or I and R1, R2 stand for identical or different, substituted on not substituted aliphatic or aromatic residues having 1 to 25 carbon atoms and the the three-dimensional structure of the compound is obtained by X-ray diffraction (X-ray SCD).
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SYSTEMS AND METHODS FOR MANUFACTURING BIOLOGICALLY-PRODUCED PRODUCTS
Aspects of the present disclosure relate to systems and methods for manufacturing biologically-produced pharmaceutical products. Some of the systems described herein comprise an upstream component comprising a bioreactor and at least one filter (e.g., a filter probe) integrated with a downstream component comprising a purification module comprising at least a first partitioning unit and a second partitioning unit. In some embodiments; these integrated biomanufacturing systems may be operated under continuous or conditions and may be capable of efficiently producing pure, high-quality pharmaceutical products.