Metabolite, annotation, and gene integration system and method

1. A system for associating metabolites with genes comprising:

a non-transitory memory configured to store executable instructions; and

a hardware processor in communication with the non-transitory memory, the hardware processor programmed by executable instructions to perform:

receiving and storing metabolite spectroscopy data, obtained from a content of an organism, and a genome sequence of the organism, in a database;

identifying a plurality of potential metabolites from the content of the organism in the metabolite spectroscopy data;

determining, for each of the plurality of potential metabolites, one or more first possible reactions related to the potential metabolite;

determining, for each of the first possible reactions, one or more first genes with corresponding gene products involved in the first possible reaction from the genome sequence;

determining, for each of the plurality of potential metabolites, an association score indicating a likelihood that a first gene of the first genes is associated with the potential metabolite;

generating at least one experiment design of a biochemical experiment based on the association score of at least one of the plurality of potential metabolites;

providing the at least one experiment design of the biochemical experiment to one or more laboratory instruments which perform the biochemical experiment to validate the first gene of the first genes is associated with the potential metabolite; and

updating the database with results from the biochemical experiment, the updating comprising supplementing or replacing existing annotations in the database with new reactions and reference sequences to reactions,

wherein determining, for each of the plurality of potential metabolites, one or more first possible reactions related to the potential metabolite comprises:

determining a related metabolite of a potential metabolite of the plurality of potential metabolites; and

determining one or more first possible reactions related to the related metabolite, wherein the one or more first possible reactions related to the related metabolite are one or more first possible reactions related to the potential metabolite.

2. The system of claim 1 , wherein the metabolite spectroscopy data comprises liquid chromatography mass spectrometry (LCMS) data obtained from the content of the organism.

3. The system of claim 2 , wherein the LCMS data comprises a plurality of MS/MS spectra.

4. The system of claim 1 , wherein identifying the plurality potential metabolites in the content of the organism in the metabolite spectroscopy data comprises identifying the plurality of potential metabolites based on metabolite features in the metabolite spectroscopy data.

5. The system of claim 4 , wherein each metabolite feature comprises a retention time, a m/z value, a mass spectrometry (MS) adduct value, a fragmentation pattern, or any combination thereof.

6. The system of claim 4 , wherein identifying the plurality of potential metabolites in the content of the organism comprises determining a metabolite score indicating a correspondence between the structure of each potential metabolite and one or more of the metabolite features.

7. The system of claim 1 , wherein determining the one or more first genes with corresponding gene products involved in the first possible reactions comprises:

determining one or more second genes of the organism associated with one or more of the first possible reactions based on sequences of the first genes, sequences of the second genes, sequences of gene products of the first genes, and/or sequences of gene products of the second genes; and

determining one or more second possible reactions associated the first genes.

8. The system of claim 7 , wherein the hardware processor is further programmed by the executable instructions to perform:

determining a homology score indicating the first gene and each second gene being homologs;

determining a reciprocal agreement score indicating agreement between the first possible reaction and each second possible reaction; and

performing metabolite identification and/or gene annotation based on the metabolite score, the homology score, the reciprocal agreement score, and/or an aggregate score of the metabolite score, the homology score, and the reciprocal score.

9. The system of claim 8 , wherein the homology score is determined based on a reaction-to-gene score associated with determining the one or more second genes and a gene-to-reaction score associated with determining the one or more second possible reactions.

10. The system of claim 8 , wherein the aggregate score is determined based on a geometric mean of the metabolite score, the homology score, and the reciprocal agreement score.

11. The system of claim 10 , wherein the aggregate score is determined based on a network level connecting the potential metabolite to the first possible reaction and a penalty factor for the network level.

12. The system of claim 8 , wherein determining the one or more first possible reactions related to the potential metabolite comprises determining a metabolite score of each related metabolite based on the metabolite score of the potential metabolite.

13. The system of claim 1 , wherein the related metabolites comprise tautomers of the potential metabolite.

14. The system of claim 1 , wherein determining the one or more related metabolites comprises determining the one or more related metabolites from the potential metabolite using a chemical network.

15. The system of claim 14 , wherein the chemical network relates the potential metabolite to the one or more related metabolites by biochemical similarity.

16. The system of claim 15 , wherein the biochemical similarity is determined based on chemical features of the potential metabolite and each related metabolite of the potential metabolite.

17. A method for determining metabolite-gene associations, comprising:

receiving and storing liquid chromatography mass spectrometry (LCMS) data obtained from a sample comprising a plurality of metabolites of an organism in a database;

determining one or more of a metabolite score, a homology score, a reciprocal agreement score, and an aggregate score for each of a plurality of metabolite-reaction-gene associations based on the LCMS data;

performing an analysis of one or more of the metabolite score, the homology score, the reciprocal agreement score, and the aggregate score to determine an association between at least one metabolite of the plurality of metabolites of the organism and a gene of a plurality of genes of the organism;

generating at least one experiment design of a high-throughput biochemical experiment based on the at least one metabolite of the plurality of metabolites of the organism and the gene of the plurality of genes of the organism;

performing the high-throughput biochemical experiment using one or more laboratory instruments comprising a microfluidics device and a mass spectrometer to validate the association between the at least one metabolite of the plurality of metabolites of the organism and the gene of the plurality of genes of the organism; and

updating the database with results from the high-throughput biochemical experiment, the updating comprising supplementing or replacing existing annotations in the database with new reactions and reference sequences to reactions.

18. The method of claim 17 , wherein performing the analysis comprising performing metabolite identification.

19. The method of claim 18 , wherein performing metabolite identification comprises selecting a top scoring metabolite-reaction-gene association for each metabolite.

20. The method of claim 17 , wherein performing the analysis comprises performing gene annotation.

21. The method of claim 20 , wherein performing gene annotation comprises selecting a top scoring metabolite-reaction-gene association for each gene-reaction pair.

22. The method of claim 17 , wherein determining the metabolite score comprises: determining a metabolite score based on one or more metabolite features corresponding to the metabolite in the LCMS data.

23. The method of claim 22 , wherein determining the homology score and the reciprocal agreement score comprises:

determining one or more first reactions involving each metabolite, wherein each first reaction is associated with a first gene sequence with a corresponding gene product involved in the first reaction;

determining one or more second gene sequences of the organism related to each first reaction based on the associated first gene sequence;

determining one or more second reactions related to the first gene sequence based on the one or more second gene sequences;

determining the homology score indicating the first gene sequence and each second gene sequence being homologs; and

determining the reciprocal agreement score indicating agreement between the first reaction and each second reaction.

24. The system of claim 1 , wherein the first possible reactions related to the potential metabolite comprises a first possible reaction capable of producing the potential metabolite and a second possible reaction incapable of producing the potential metabolite.

25. The system of claim 12 , wherein at least one first possible reactions of the first possible reactions is capable of producing at least one of the one or more related metabolites of the potential metabolite, and wherein at least another first possible reactions of the first possible reactions is incapable of producing any of the one or more related metabolites of the potential metabolite.

26. A system for associating metabolites with genes comprising:

a biochemical assertion manager for organizing and storing experimental data inputs, a plurality of genes, a plurality of chemical compounds, and a plurality of reactions each associated with one or more genes of the plurality of genes and one or more chemical compounds of the plurality of chemical compounds;

a hypothesis generation module for generating one or both of compound-centric hypothesis based on chemicals compounds of the plurality of chemical compounds present in the experimental data inputs and the plurality of reactions and gene-centric hypothesis based on the plurality of genes;

a biochemical experiment design module for designing biochemical experiments for testing one or both of compound-centric hypothesis and gene-centric hypothesis generated;

a controller for instructing one or more laboratory instruments, the one or more laboratory instruments comprising a reagent handling equipment, mass spectrometer, a nuclear magnetic resonance (NMR) spectrometer, and/or a sequencer, to perform the designed biochemical experiments;

a data store for storing the experimental data inputs, the plurality of genes, the plurality of chemical compounds, the plurality of reactions, the compound-centric hypothesis and drug-centric hypothesis generated, and results of the biochemical experiments designed.