Abstract: Embodiments of a method and/or system (e.g, for metabolism-related prediction) can include: generating an enzyme dataset; generating a substrate dataset; generating a metabolism model such as for predicting an enzyme feature associated with metabolism of a query molecule, based on the enzyme dataset and/or the substrate dataset; determining a microorganism taxon (and/or microorganism taxa) S140 associated with the metabolism of the query molecule based on one or more predicted enzyme features of the metabolism model (e.g., machine learning model; etc.) and/or determining a query molecule score (e.g., drug score) for one or more users based on the microorganism taxon.

Abstract: Embodiments of a method and/or system for characterizing an allergy-related condition for a user can include one or more of: generating a microbiome dataset for each of an aggregate set of biological samples associated with a population of subjects, based on sample processing of the biological samples; processing a supplementary dataset associated with one or more allergy-related conditions for the set of users; and performing an allergy-related characterization process for the one or more allergy-related conditions, based on the supplementary dataset and/or microbiome features extracted from the microbiome dataset.

Abstract: Embodiments of a method and/or system for characterizing a microorganism-related condition (e.g., human behavior condition, disease-related condition, etc.) for a user can include one or more of: generating a microbiome dataset for each of an aggregate set of biological samples associated with a population of subjects, based on sample processing of the biological samples; processing a supplementary dataset associated with one or more microorganism-related conditions for the set of users; and performing a microorganism-related characterization (e.g., human behavior characterization, disease-related characterization, etc.) process for the one or more microorganism-related conditions, based on the supplementary dataset and/or microbiome features extracted from the microbiome dataset.

Abstract: Embodiments of a method and/or system for characterizing a diet-related condition for a user can include one or more of: generating a microbiome dataset for each of an aggregate set of biological samples associated with a population of subjects, based on sample processing of the biological samples; processing a supplementary dataset associated with one or more diet-related conditions for the set of users; and performing a diet-related characterization process for the one or more diet-related conditions, based on the supplementary dataset and/or microbiome features extracted from the microbiome dataset.

Abstract: Embodiments of a method and/or system for characterizing one or more microorganism-related conditions can include: determining a microorganism dataset associated with a set of subjects; and with a set of microsome characterization modules, applying analytical techniques to perform a characterization process for the one or more microorganism-related conditions based on the microorganism dataset.

Abstract: Embodiments of a method and/or system for characterizing a diet-related condition for a user can include one or more of: generating a microbiome dataset for each of an aggregate set of biological samples associated with a population of subjects, based on sample processing of the biological samples; processing a supplementary dataset associated with one or more diet-related conditions for the set of users; and performing a diet-related characterization process for the one or more diet-related conditions, based on the supplementary dataset and/or microbiome features extracted from the microbiome dataset.

Abstract: Embodiments of a method and/or system for characterizing a microorganism-related condition (e.g., human behavior condition, disease-related condition, etc.) for a user can include one or more of: generating a microbiome dataset for each of an aggregate set of biological samples associated with a population of subjects, based on sample processing of the biological samples; processing a supplementary dataset associated with one or more microorganism-related conditions for the set of users; and performing a microorganism-related characterization (e.g., human behavior characterization, disease-related characterization, etc.) process for the one or more microorganism-related conditions, based on the supplementary dataset and/or microbiome features extracted from the microbiome dataset.

Abstract: Embodiments of a method and/or system for characterizing an allergy-related condition for a user can include one or more of: generating a microbiome dataset for each of an aggregate set of biological samples associated with a population of subjects, based on sample processing of the biological samples; processing a supplementary dataset associated with one or more allergy-related conditions for the set of users; and performing an allergy-related characterization process for the one or more allergy-related conditions, based on the supplementary dataset and/or microbiome features extracted from the microbiome dataset.

Abstract: Embodiments of a method and/or system for characterizing a headache-related condition for a user can include one or more of: generating a microbiome dataset for each of an aggregate set of biological samples associated with a population of subjects, based on sample processing of the biological samples; processing a supplementary dataset associated with one or more headache-related conditions for the set of users; and performing a characterization process for the one or more headache-related conditions, based on the supplementary dataset and microbiome features extracted from the microbiome dataset.