"proteochemometric" meaning in All languages combined

{
  "etymology_templates": [
    {
      "args": {
        "1": "en",
        "2": "proteo",
        "3": "chemometric"
      },
      "expansion": "proteo- + chemometric",
      "name": "prefix"
    }
  ],
  "etymology_text": "From proteo- + chemometric.",
  "head_templates": [
    {
      "args": {
        "1": "-"
      },
      "expansion": "proteochemometric (not comparable)",
      "name": "en-adj"
    }
  ],
  "lang": "English",
  "lang_code": "en",
  "pos": "adj",
  "senses": [
    {
      "categories": [
        {
          "kind": "other",
          "name": "English entries with incorrect language header",
          "parents": [
            "Entries with incorrect language header",
            "Entry maintenance"
          ],
          "source": "w"
        },
        {
          "kind": "other",
          "name": "English terms prefixed with proteo-",
          "parents": [],
          "source": "w"
        },
        {
          "kind": "other",
          "name": "Pages with 1 entry",
          "parents": [],
          "source": "w"
        },
        {
          "kind": "other",
          "name": "Pages with entries",
          "parents": [],
          "source": "w"
        }
      ],
      "examples": [
        {
          "ref": "2015 November 5, “Multivariate PLS Modeling of Apicomplexan FabD-Ligand Interaction Space for Mapping Target-Specific Chemical Space and Pharmacophore Fingerprints”, in PLOS ONE, →DOI:",
          "text": "In this regard, Lapinsh et al., introduced and improvised proteochemometric analysis (PCM), a machine learning technique involving partial least square modeling for predicting the biological activities and analyzing the receptor-drug interaction space based on physiochemical descriptors of multiple proteins and ligands [4 ,5 ].",
          "type": "quote"
        }
      ],
      "glosses": [
        "Relating to chemometrics involving proteins"
      ],
      "id": "en-proteochemometric-en-adj-iEthxEdg",
      "links": [
        [
          "chemometrics",
          "chemometrics"
        ],
        [
          "protein",
          "protein"
        ]
      ],
      "tags": [
        "not-comparable"
      ]
    }
  ],
  "word": "proteochemometric"
}

{
  "etymology_templates": [
    {
      "args": {
        "1": "en",
        "2": "proteo",
        "3": "chemometric"
      },
      "expansion": "proteo- + chemometric",
      "name": "prefix"
    }
  ],
  "etymology_text": "From proteo- + chemometric.",
  "head_templates": [
    {
      "args": {
        "1": "-"
      },
      "expansion": "proteochemometric (not comparable)",
      "name": "en-adj"
    }
  ],
  "lang": "English",
  "lang_code": "en",
  "pos": "adj",
  "senses": [
    {
      "categories": [
        "English adjectives",
        "English entries with incorrect language header",
        "English lemmas",
        "English terms prefixed with proteo-",
        "English terms with quotations",
        "English uncomparable adjectives",
        "Pages with 1 entry",
        "Pages with entries"
      ],
      "examples": [
        {
          "ref": "2015 November 5, “Multivariate PLS Modeling of Apicomplexan FabD-Ligand Interaction Space for Mapping Target-Specific Chemical Space and Pharmacophore Fingerprints”, in PLOS ONE, →DOI:",
          "text": "In this regard, Lapinsh et al., introduced and improvised proteochemometric analysis (PCM), a machine learning technique involving partial least square modeling for predicting the biological activities and analyzing the receptor-drug interaction space based on physiochemical descriptors of multiple proteins and ligands [4 ,5 ].",
          "type": "quote"
        }
      ],
      "glosses": [
        "Relating to chemometrics involving proteins"
      ],
      "links": [
        [
          "chemometrics",
          "chemometrics"
        ],
        [
          "protein",
          "protein"
        ]
      ],
      "tags": [
        "not-comparable"
      ]
    }
  ],
  "word": "proteochemometric"
}