Introduction

In this vignette, CTX Bioactivity API will be explored.

Data provided by the API’s Bioactivity endpoints are sourced from ToxCast’s invitrodb.

US EPA’s Toxicity Forecaster (ToxCast) program makes in vitro medium- and high-throughput screening assay data publicly available for prioritization and hazard characterization of thousands of chemicals.

The ToxCast Data Analysis Pipeline (tcpl) is an R package that manages, curve-fits, plots, and stores ToxCast data to populate its linked MySQL database, invitrodb . These assays comprise Tier 2-3 of the new Computational Toxicology Blueprint, and employ automated chemical screening technologies, to evaluate the effects of chemical exposure on living cells and biological macromolecules, such as proteins (Thomas et al., 2019). More information on the ToxCast program can be found at https://www.epa.gov/comptox-tools/toxicity-forecasting-toxcast.

This flexible analysis pipeline is capable of efficiently processing and storing large volumes of data. The diverse data, received in heterogeneous formats from numerous vendors, are transformed to a standard computable format and loaded into the invitrodb database by vendor-specific R scripts. Once data is loaded into the database, ToxCast utilizes generalized processing functions provided in this package to process, normalize, model, qualify, and visualize the data.

Figure 1: Conceptual overview of the ToxCast Pipeline functionality

The Bioactivity API endpoints are organized into two different resources, “Assay” and “Data”. “Assay” resource endpoints provide assay metadata for specific or all invitrodb ‘aeids’ (assay endpoint ids). These include annotations from invitrodb’s assay, assay_component, assay_component_endpoint, assay_list, assay_source, and gene tables, all returned in a by-aeid format.

“Data” resource endpoints are split into summary data (by ‘aeid’) and bioactivity data by ‘m4id’ (i.e. both ‘aeid’ and ‘spid’). The summary endpoint returns the number of active hits and total multi- and single-concentration chemicals tested for specific ‘aeids’. The other endpoints return chemical information, level 3 concentration-response values, level 4 fit parameters, level 5 hit parameters, and level 6 flags for individual chemicals tested for given ‘AEIDs’, ‘m4ids’, ‘SPIDs’, or ‘DTXSIDs’.

Several ctxR functions can be used to access the CTX Bioactivity API data, as described in the following sections. Tables output in each example have been filtered to only display the first few rows of data. Regular ToxCast users may find it easier to use the tcpl R Package, which is integrated ctxR’s bioactivity functions to access API data in a more ‘invitrodb’-like format. See the tcpl’s Data Retrieval via API vignette for more guidance on data retrieval and plotting capabilities with tcpl.

Bioactivity Assay Resource

Specific assays may be searched as well as all available assays that have data using two different functions.

assay <- get_annotation_by_aeid(AEID = "891")

assays <- get_annotation_by_aeid_batch(AEID = c(759,700,891))
# return is in list form by aeid, convert to table for output
assays <- data.table::rbindlist(assays)

all_assays <- get_all_assays()

summary <- get_bioactivity_summary(AEID = "891")

summary <- get_bioactivity_summary_batch(AEID = c(759,700,891))

# By spid
spid_data <- get_bioactivity_details(SPID = 'TP0000904H05')

# By m4id
m4id_data <- get_bioactivity_details(m4id = 739695)

# By DTXSID
dtxsid_data <- get_bioactivity_details(DTXSID = "DTXSID30944145")

# By aeid
aeid_data <- get_bioactivity_details(AEID = 704)

aeid_data_batch <- get_bioactivity_details_batch(AEID = c(759,700,891))