CTD processing 4 (optional / less important): handling gene -> gene's response

[colleenXu]

Intro: see intro section of #583 (comment). Originally noted in #558 (comment)

4. (optional / less important): handling gene -> gene's response

I haven't written an operation for a gene->gene query, because the direction of the response's data isn't consistent. It's not important because the source of this info is BioGRID and Biolink API / Monarch also covers this information.

For example, if I query CTD with gene CYSLTR1 (10800)...

some associations have input CYSLTR1 in the source fields

source = src

    {
        "Assay": "Co-localization",
        "Input": "10800",
        "InteractionType": "physical",
        "PubMedId": "21203429",
        "SrcGeneId": "10800",
        "SrcGeneSymbol": "CYSLTR1",
        "SrcOrganism": "Homo sapiens",
        "SrcOrganismId": "9606",
        "TgtGeneId": "57105",
        "TgtGeneSymbol": "CYSLTR2",
        "TgtOrganism": "Homo sapiens",
        "TgtOrganismId": "9606",
        "Throughput": "low"
    },
    {
        "Assay": "Affinity Capture-Western",
        "Input": "10800",
        "InteractionType": "physical",
        "PubMedId": "17693579",
        "SrcGeneId": "10800",
        "SrcGeneSymbol": "CYSLTR1",
        "SrcOrganism": "Homo sapiens",
        "SrcOrganismId": "9606",
        "TgtGeneId": "57105",
        "TgtGeneSymbol": "CYSLTR2",
        "TgtOrganism": "Homo sapiens",
        "TgtOrganismId": "9606",
        "Throughput": "low"
    },

but others have input CYSLTR1 in the target fields

target = tgt

    {
        "Assay": "Affinity Capture-Western",
        "Input": "10800",
        "InteractionType": "physical",
        "PubMedId": "21203429",
        "SrcGeneId": "57105",
        "SrcGeneSymbol": "CYSLTR2",
        "SrcOrganism": "Homo sapiens",
        "SrcOrganismId": "9606",
        "TgtGeneId": "10800",
        "TgtGeneSymbol": "CYSLTR1",
        "TgtOrganism": "Homo sapiens",
        "TgtOrganismId": "9606",
        "Throughput": "low"
    },
    {
        "Assay": "Affinity Capture-Western",
        "Input": "10800",
        "InteractionType": "physical",
        "PubMedId": "19561298",
        "SrcGeneId": "2840",
        "SrcGeneSymbol": "GPR17",
        "SrcOrganism": "Mus musculus",
        "SrcOrganismId": "10090",
        "TgtGeneId": "10800",
        "TgtGeneSymbol": "CYSLTR1",
        "TgtOrganism": "Mus musculus",
        "TgtOrganismId": "10090",
        "Throughput": "low"
    }

Perhaps, post-processing could get all associations "in the same direction" from input ID -> output ID and then response-mapping could be to those post-processed fields. However, we'd want to check that this doesn't mess up the meaning (is there a different meaning if a gene is a source vs a target?).

I think Biolink API / Monarch's post-query processing + SmartAPI yaml response-mapping (which is to fields that exist only after the post-processing) is able to handle this situation, so maybe a solution like that will work here.