% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/target2np.R
\name{search_target2np_drugclip}
\alias{search_target2np_drugclip}
\title{Search DrugCLIP predicted compound-target interactions}
\usage{
search_target2np_drugclip(
  search = NULL,
  search_field = c("all", "gene_symbol", "compound_name", "inchikey"),
  search_mode = c("exact", "fuzzy"),
  min_score = NULL,
  confidence = NULL,
  page = 1L,
  page_size = 20L,
  all_pages = FALSE
)
}
\arguments{
\item{search}{Free-text search.}

\item{search_field}{One of \code{"all"}, \code{"gene_symbol"}, \code{"compound_name"},
or \code{"inchikey"}.}

\item{search_mode}{\code{"exact"} or \code{"fuzzy"}.}

\item{min_score}{Minimum DrugCLIP score (0-1).}

\item{confidence}{One of \code{"high"} (>= 0.8), \code{"medium"} (0.5-0.8),
\code{"low"} (< 0.5).}

\item{page, page_size}{Pagination.}

\item{all_pages}{If \code{TRUE}, fetch all pages.}
}
\value{
A \code{\link[tibble:tibble]{tibble::tibble()}} of DrugCLIP predictions with attribute
\code{"total"}.
}
\description{
Query DrugCLIP deep-learning predictions, with optional confidence
filtering by predicted score.
}
\examples{
\dontrun{
search_target2np_drugclip(search = "quercetin", confidence = "high")
}
}
