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Maha Strategies Biology Protein Sequence Descriptors
x402
Maha Strategies Biology Protein Sequence Descriptors is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.013001/call, status unknown (last checked 2026-10-13).
Calculates composition, molecular mass, and model-based charge descriptors from a supplied protein amino acid sequence for dataset analysis.
Price / call$0.013001
Success—
StatusUnknown
How this service works
Calculate composition, molecular mass and model-based charge descriptors from supplied protein sequences. For dataset analysis; not a folding or function prediction.
Output
Returns a structured result object containing amino acid composition percentages, calculated molecular mass, and model-based charge descriptors derived from the input protein sequence, along with offer metadata, input/receipt digests, and versioning information.
Example use cases
Protein dataset feature engineering
“I need to build a feature matrix for my protein dataset — can you compute the composition, molecular mass, and charge descriptors for this sequence ACDEFGHIKLMNPQRSTVWY...MKTLL and label it as public data?”
Synthetic peptide characterization
“I've designed a synthetic peptide with sequence MGSSHHHHHHSSGLVPRGSH and want to know its molecular mass, amino acid composition, and charge descriptors — please mark it as synthetic data.”
Bioinformatics pipeline enrichment
“For my bioinformatics analysis pipeline, compute the sequence descriptors including composition and model-based charge features for the following public protein sequence: MALWMRLLPLLALLALWGPDPAAAFVNQHLCGSHLVEALYLVCGERGFFYTPKTRREAEDLQVGQVELGGGPGAGSLQPLALEGSLQKRGIVEQCCTSICSLYQLENYCN”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/micro/biology-protein-sequence-descriptors?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need fast, deterministic physicochemical descriptors (composition, molecular mass, charge) from a raw protein sequence string for downstream dataset analysis or ML feature engineering — not when you need 3D structure prediction, functional annotation, homology search, or folding simulation.
Side effects
- Invalid or non-standard amino acid characters in sequence causing rejection
- Sequence exceeding 4000-character maximum length limit
- Missing required fields (sequence or dataClass) returning validation error
- Invalid dataClass value (not 'public' or 'synthetic') causing schema error
- Payment or x402 protocol failure preventing processing
- Empty sequence string returning computation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Tags
x402
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