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GeneFunctions on the GPT Store

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Introduction to GeneFunctions

GeneFunctions is a cutting-edge AI-powered bot that leverages advanced GPT technology to provide comprehensive information on genes and their functions.

This intelligent tool allows researchers, students, and healthcare professionals to search for alternative names of genes and explore up-to-date literature on their roles in various biological processes.

By utilizing the power of ScholarAI, GeneFunctions enables users to efficiently navigate the vast landscape of genomic research, making it an invaluable resource for anyone seeking to deepen their understanding of gene functions and their implications in health and disease.

GPT Description

Find alternative names of a gene and use ScholarAI to search the literature for up-to-date information

Welcome Message

Hello, ready for genetic analysis with GeneFunctions.

GPT Prompt Starters

  • Search papers for gene BRCA1
  • Find alternative names for TP53 gene
  • Rerun scholarly search with new gene names
  • Explore research on gene and its synonyms

GPT Action OpenAPI Spec

{
  "openapi": "3.0.1",
  "info": {
    "title": "ScholarAI",
    "description": "Allows the user to search facts and findings from scientific articles",
    "version": "v1"
  },
  "servers": [
    {
      "url": "https://scholar-ai.net"
    }
  ],
  "paths": {
    "/api/abstracts": {
      "get": {
        "operationId": "searchAbstracts",
        "summary": "Get relevant paper abstracts by search 2-6 relevant keywords.",
        "parameters": [
          {
            "name": "keywords",
            "in": "query",
            "description": "Keywords of inquiry which should appear in article. Must be in English.",
            "required": true,
            "schema": {
              "type": "string"
            }
          },
          {
            "name": "sort",
            "in": "query",
            "description": "The sort order for results. Valid values are relevance, cited_by_count, publication_date. Defaults to relevance.",
            "required": false,
            "schema": {
              "type": "string"
            }
          },
          {
            "name": "query",
            "in": "query",
            "description": "The user query",
            "required": true,
            "schema": {
              "type": "string"
            }
          },
          {
            "name": "peer_reviewed_only",
            "in": "query",
            "description": "Whether to only return peer reviewed articles. Defaults to true, ChatGPT should cautiously suggest this value can be set to false",
            "required": false,
            "schema": {
              "type": "string"
            }
          },
          {
            "name": "start_year",
            "in": "query",
            "description": "The first year, inclusive, to include in the search range. Excluding this value will include all years.",
            "required": false,
            "schema": {
              "type": "string"
            }
          },
          {
            "name": "end_year",
            "in": "query",
            "description": "The last year, inclusive, to include in the search range. Excluding this value will include all years.",
            "required": false,
            "schema": {
              "type": "string"
            }
          },
          {
            "name": "offset",
            "in": "query",
            "description": "The offset of the first result to return. Defaults to 0.",
            "required": false,
            "schema": {
              "type": "string"
            }
          },
          {
            "name": "num_results_to_show",
            "in": "query",
            "description": "The number of results to return. Defaults to 4.",
            "required": false,
            "schema": {
              "type": "string"
            }
          }
        ],
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/searchAbstractsResponse"
                }
              }
            }
          }
        }
      }
    },
    "/api/fulltext": {
      "get": {
        "operationId": "getFullText",
        "summary": "Get full text of a paper by URL for PDF incrementally. Good for general summary. DO NOT use this endpoint for singular questions, use /api/question instead.",
        "parameters": [
          {
            "name": "pdf_url",
            "in": "query",
            "description": "URL for PDF",
            "required": true,
            "schema": {
              "type": "string"
            }
          },
          {
            "name": "chunk",
            "in": "query",
            "description": "chunk number to retrieve, defaults to 1",
            "required": false,
            "schema": {
              "type": "number"
            }
          }
        ],
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/paperContentResponse"
                }
              }
            }
          }
        }
      }
    },
    "/api/save-citation": {
      "get": {
        "operationId": "saveCitation",
        "summary": "Save citation to reference manager",
        "parameters": [
          {
            "name": "doi",
            "in": "query",
            "description": "Digital Object Identifier (DOI) of article",
            "required": true,
            "schema": {
              "type": "string"
            }
          },
          {
            "name": "zotero_user_id",
            "in": "query",
            "description": "Zotero User ID",
            "required": true,
            "schema": {
              "type": "string"
            }
          },
          {
            "name": "zotero_api_key",
            "in": "query",
            "description": "Zotero API Key",
            "required": true,
            "schema": {
              "type": "string"
            }
          }
        ],
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/saveCitationResponse"
                }
              }
            }
          }
        }
      }
    },
    "/api/question": {
      "get": {
        "operationId": "question",
        "summary": "Get sections of PDF to answer questions about PDF. ALWAYS use this endpoint if the user has a specific question about a singular PDF.",
        "parameters": [
          {
            "name": "question",
            "in": "query",
            "description": "The user question. Must be in English.",
            "required": true,
            "schema": {
              "type": "string"
            }
          },
          {
            "name": "pdf_url",
            "in": "query",
            "description": "URL for source PDF",
            "required": true,
            "schema": {
              "type": "string"
            }
          }
        ],
        "responses": {
          "200": {
            "description": "OK",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/paperContentResponse"
                }
              }
            }
          },
          "402": {
            "description": "Premium required",
            "content": {
              "application/json": {
                "schema": {
                  "$ref": "#/components/schemas/premiumRequiredResponse"
                }
              }
            }
          }
        }
      }
    },
    "/api/literature_map": {
      "get": {
        "operationId": "literatureMap",
        "summary": "Find papers related to another paper using their ss_id",
        "parameters": [
          {
            "name": "ss_id",
            "in": "query",
            "description": "The ss_id of the paper to find related papers for.",
            "required": true,
            "schema": {
              "type": "string"
            }
          },
          {
            "name": "query",
            "in": "query",
            "description": "Desired theme of related papers found. Should be provided if the user wants to find similar papers of a particular theme.",
            "required": false,
            "schema": {
              "type": "string"
            }
          },
          {
            "name": "adjacent_type",
            "in": "query",
            "description": "Type of adjacent papers being request. Valid options are 'citedBy', 'references', and 'recommended'. Argument should be a collection of the desired adjacent papers, comma separated. Defaults to 'citedBy,references,recommended'.",
            "required": false,
            "schema": {
              "type": "string"
            }
          }
        ]
      }
    },
    "/api/get_paper_metadata": {
      "get": {
        "operationId": "getPaperMetadata",
        "summary": "Find a singular paper's data using an arbitrary identifier, like a DOI or PMID.",
        "parameters": [
          {
            "name": "paper_id",
            "in": "query",
            "description": "The identifier of the paper to find. MUST be of the format <identifier_type>:<identifier_value>. Identifier type can be one of DOI, PMID, SS_ID, ARXIV, MAG, ACL, or PMCID.",
            "required": true,
            "schema": {
              "type": "string"
            }
          }
        ]
      }
    }
  },
  "components": {
    "schemas": {
      "searchAbstractsResponse": {
        "type": "object",
        "properties": {
          "next_offset": {
            "type": "number",
            "description": "The offset of the next page of results."
          },
          "total_num_results": {
            "type": "number",
            "description": "The total number of results."
          },
          "abstracts": {
            "type": "array",
            "items": {
              "type": "object",
              "properties": {
                "title": {
                  "type": "string"
                },
                "abstract": {
                  "type": "string",
                  "description": "Summary of the context, methods, results, and conclusions of the paper."
                },
                "doi": {
                  "type": "string",
                  "description": "The DOI of the paper."
                },
                "landing_page_url": {
                  "type": "string",
                  "description": "Link to the paper on its open-access host."
                },
                "pdf_url": {
                  "type": "string",
                  "description": "Link to the paper PDF."
                },
                "publicationDate": {
                  "type": "string",
                  "description": "The date the paper was published in YYYY-MM-DD format."
                },
                "relevance": {
                  "type": "number",
                  "description": "The relevance of the paper to the search query. 1 is the most relevant."
                },
                "creators": {
                  "type": "array",
                  "items": {
                    "type": "string",
                    "description": "The name of the creator."
                  }
                },
                "cited_by_count": {
                  "type": "number",
                  "description": "The number of citations of the article."
                },
                "ss_id": {
                  "type": "string",
                  "description": "Unique identifier for the paper."
                }
              }
            },
            "description": "The list of relevant abstracts."
          }
        }
      },
      "paperContentResponse": {
        "type": "object",
        "properties": {
          "chunks": {
            "type": "array",
            "items": {
              "type": "object",
              "properties": {
                "chunk_num": {
                  "type": "number",
                  "description": "The chunk number of the paper."
                },
                "chunk": {
                  "type": "string",
                  "description": "The chunk of the paper."
                },
                "img_mds": {
                  "type": "list",
                  "description": "List of content that appears in the current chunk. Display ALL markdown, including images. The viewing platform ALWAYS supports markdown, ALWAYS show the images."
                },
                "pdf_url": {
                  "type": "string",
                  "description": "Link to the paper PDF."
                }
              }
            },
            "description": "The chunk of the paper."
          },
          "total_chunk_num": {
            "type": "number",
            "description": "The total chunks of the paper."
          },
          "hint": {
            "type": "string",
            "description": "Instructions for GPT to follow regarding this response."
          }
        }
      },
      "saveCitationResponse": {
        "type": "object",
        "properties": {
          "message": {
            "type": "string",
            "description": "Confirmation of successful save or error message."
          }
        }
      },
      "premiumRequiredResponse": {
        "type": "object",
        "properties": {
          "hint": {
            "type": "string",
            "description": "Suggestion to use premium or alternative for free users."
          }
        }
      }
    }
  }
}
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GeneFunctions GPT FAQs

Currently, access to this GPT requires a ChatGPT Plus subscription.
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