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Quick Tutorial



To help users getting started with MetaMed quickly, here is the example-based tutorial for MetaMed usage.


Example 1. Finding Equivalent Medicine information of a query microbe

  1. Enter the queried microbe name in English. Noted that MetaMed requires to exactly match the genus of the given microbe name. If not matched, it will return no search result.

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  3. Currently only one BGC in the database match the search criteria and it is returned on the results page:

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  5. Press the "Detail" button to get detailed information
  • Basic Information: return the microbe, BGC and corresponding metabolites information
  • Side Effect: return the microbe’s potential side effects on human body by a defined score system
  • Equivalent Medicine: return the equivalent medicines with certain functional and structure similarity scores to the given microbe metabolites by the defined score system
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Example 2. Using Personalized Sequence Data to predict BGCs and linking to their potential implications for personalized predictions

  1. MetaMed preprocesses human microbe sequencing data (16s rRNA or WGS) and obtains the corresponding BGC profile. Frist chose the sequencing data type in "WGS" or "6s rRNA"

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  3. If you already have the BGC profile of your sequencing data, past them into the input box as the example format in tab-delimited type: <BGC name> tab <read coverage/percentage value>. Noted that there is a "tab" instead of "space" to separate two input entities.

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  5. If not, please press the "Link to Metapipe" button, which links to Metapipe GitHub page. Follow the instruction and run Metapipe for personalized sequencing data preprocessing. Then users can paste the processed BGC profile result into the input box.

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  7. The top BGCs in the database match the example search criteria are returned on the results page:

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  9. Press the "Detail" button to get detailed information
  • Basic Information: return the microbe, BGC and corresponding metabolites information
  • Predicted Impact on human body:
    1. Side Effect: return the microbe’s predicted potential side effects on human body by a defined score system
    2. Potential Indication : return the microbe’s predicted potential indications on human body by a defined score system
    3. Immune Status Transition: return the predicted impact of microbe on immune status transition by the defined score system, providing useful clues for personalized microbe-based immune-therapy.
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