HTTP Interface and External Systems for Quality Documentation in Lead Compound Screening

Data Characteristics

Quality documentation in lead compound screening primarily includes compound structure files (e.g., .sdf, .mol), high-throughput screening (HTS) raw data reports (e.g., .csv, .xlsx), activity validation reports (e.g., .pdf, .docx), and batch analysis certificates (e.g., .xml). These documents typically originate from automated screening platforms, Laboratory Information Management Systems (LIMS), or file servers provided by collaborators. Data update frequency aligns with screening batches, potentially weekly or bi-weekly, involving thousands to tens of thousands of compound records. Document structures follow specific cheminformatics standards for structure files. HTS reports contain fields such as compound ID, test batch, IC50 value, EC50 value, and selectivity, often in nanomolar (nM) or micromolar (µM) units. Batch analysis certificates detail indicators like purity, chirality, and impurity content.

Constraints from HTTP Interface and External Systems

The diverse and heterogeneous nature of lead compound screening data requires the HTTP interface to support flexible file type recognition and parsing. The batch processing and update frequency of high-throughput data demand high concurrency and efficient transmission from the interface, necessitating support for large data stream transfers or batch uploads. The coexistence of structured and unstructured documents means the interface must trigger different parsing processes after data reception. For example, it needs to perform structural analysis for .sdf files, numerical extraction for .xlsx files, and text recognition for .pdf files. Consistent units for key fields like activity values (e.g., nM, µM) require backend standardization or unit conversion during data ingestion. Additionally, batch analysis certificates often contain sensitive information, requiring strict authentication mechanisms and encrypted data transmission for the interface to ensure data security.

Configuration Guidelines

Common Pitfalls

• Specific format documents (e.g., .sdf or .xml) are not correctly parsed after file upload, resulting in missing core fields. This occurs when FILE_UPLOAD_ALLOWED_EXTENSIONS does not include the file type, or DOCUMENT_FIELD_MAPPING is not configured correctly for its internal structure.
• Calling an external API returns an HTTP 401 Unauthorized error code. This happens when API_KEY_MANAGEMENT_STRATEGY fails to correctly transmit or refresh the authentication key, or the key configuration does not match the third-party system.
• The conversational interface returns empty results when processing image-text requests. This is due to MAX_REQUEST_BODY_SIZE_MB being set too small, causing the request body containing embedded image information to be truncated or rejected, or DOCUMENT_FIELD_MAPPING failing to recognize descriptive text associated with images.

Verification Steps

• Upload a test dataset containing .sdf, .xlsx, and .pdf files. Check that core fields (e.g., compound structure, IC50 value, purity) are correctly extracted and displayed for each document.
• Use the HTTP interface to call a query function of an external compound database. Ensure the API key authenticates successfully and returns the expected compound information.
• Review system logs to confirm no PARSE_FILE_TIMEOUT_SECONDS timeout errors occur when processing high-throughput screening reports, and data ingestion rates meet expectations.
• Send a question containing a lead compound structure image (as an image-text request) to the conversational interface. Verify the interface can combine image information to provide relevant screening suggestions or compound property descriptions.

The values provided are common starting points and should be measured against the reader's own samples.

Question material comes from public community discussions. Configuration values are common starting points and should be measured against your own samples. Verified on 2026-09-21.