Bispecific Antibody Products: HTTP Interface and External

Data Characteristics for This Category

Bispecific antibody (BsAb) product data originates from biomedical databases, clinical trial reports, patent literature, and internal R&D documents. Data update frequencies vary. Basic structural information, such as targets and mechanisms of action, remains relatively stable. Clinical trial progress, expanded indications, and side effect reports, however, can update in real-time. Document structures primarily consist of semi-structured and unstructured data, including research paper PDFs, clinical trial XML or JSON reports, and structured molecular information (SMILES, InChIKey). Common fields include Target 1, Target 2, Antibody Sequence, Mechanism of Action, Indication, Clinical Stage, Production Batch, Storage Conditions, and Pharmacokinetic Parameters like Half-life and Cmax. Units involve milligrams, moles, hours, and degrees Celsius.

Constraints from HTTP Interfaces and External Systems

The diverse sources of bispecific antibody data require HTTP interfaces with robust data integration capabilities. Information must be retrieved from multiple external APIs. Inconsistent update frequencies necessitate refined data synchronization strategies. Core structural data can undergo periodic full or incremental synchronization. Dynamic information, such as clinical progress, requires more frequent retrieval via event-driven mechanisms or scheduled polling. The prevalence of unstructured document formats means FastGPT's HTTP interface must integrate closely with subsequent text parsing and knowledge extraction modules to extract key fields from raw data. Specific fields, like Antibody Sequence, can be long, requiring support for large HTTP request and response bodies. Pharmacokinetic Parameters have varied numerical types and units, demanding data type validation and unit conversion in interface parameter design.

Configuration Guidelines

Configuration Item	Recommended Value	Rationale
`Request timeout` (Request Timeout)	`60 seconds` (60 seconds)	Accounts for potentially slow responses from some biological database interfaces and transfer times for large datasets.
`Max Concurrent Requests`	`5`	Prevents excessive load on external database APIs and adheres to typical public API rate limits.
`HTTP Method`	`POST` or `GET`	Select based on the specific requirements of the external API; `POST` suits complex queries or numerous parameters.
`Content-Type`	`application/json`	Most bioinformatics APIs prefer JSON format for data exchange.
`Retry Policy`	`Exponential backoff, max 3 retries`	Addresses transient external API failures or network fluctuations, improving data retrieval success rates.
`Parse Response Body Field`	`data.results[].sequence`	Accurately extracts core information like `Antibody Sequence` from nested JSON structures.

Common Pitfalls

Symptom: HTTP requests hang or return a 504 Gateway Timeout. Reason: External bioinformatics database interfaces respond slowly, or the requested data volume is too large, causing a transfer timeout. The Request timeout (Request Timeout) is set too short.
Symptom: External API returns a 403 Forbidden error. Reason: Authorization or API Key request headers are not configured correctly, leading to authentication failure.
Symptom: The Antibody Sequence field is empty or incomplete. Reason: The Parse Response Body Field configuration path is inaccurate and does not correctly match the key name for Antibody Sequence in the external API's JSON response structure.

Verification Steps

Use FastGPT's HTTP module test function. Query with a typical bispecific antibody ID and verify successful retrieval of a complete JSON response body.
Check log output. Confirm no HTTP status code 4xx or 5xx errors appear and that Request Duration is within the expected range.
Review data imported into the FastGPT knowledge base. Verify that key fields, such as Antibody Sequence, Target, and Indication, are correctly extracted and stored. Compare them against the original data source to validate accuracy.

Note: The values provided are common starting points. Measure them against your 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.