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Protein Sequence Descriptors
x402
Protein Sequence Descriptors is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.013003/call, status unknown (last checked 2026-10-15).
Calculates composition, molecular mass, and model-based charge descriptors from one or more protein sequences for dataset analysis.
Price / call$0.013003
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. New modular adapter: retained result recovery for 24 hours, minimal receipt metadata for 90 days. Existing live route unchanged.
Output
Returns computed numerical descriptors for the supplied protein sequence, including amino acid composition percentages, calculated molecular mass, and model-based charge descriptors. Results are retained for up to 24 hours for recovery; receipt metadata is available for 90 days.
Example use cases
ML feature engineering for protein datasets
“I'm building a machine learning model and need numerical descriptors — composition, molecular mass, and charge — for this synthetic protein sequence: ACDEFGHIKLMNPQRSTVWY. Can you compute the descriptors for me?”
Physicochemical profiling of a candidate protein
“I have a public protein sequence, MAEGEITTFTALTEKFNLPPGNYKKPKLLYCSNGGHFLRILPDGTVDGTRDRSDQHIQLQLSAESVGEVYIKSTETGQYLAMDTSGLLYGSQTPNEECLFLERLEENHYNTYTSKKHAEKNWFVGLKKNGSCKRGPRTHYGQKAILFLPLPV, and I want its molecular mass and charge descriptors calculated for a dataset I'm compiling.”
Comparing descriptors across synthetic protein variants
“For our synthetic biology dataset, compute the composition and charge descriptors for this synthetic sequence: GPGPGPGPGPGPG — we need these features for downstream statistical analysis.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/compute/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 data analysis, machine learning feature generation, or bioinformatics pipelines — not when you need protein structure prediction, folding, or biological function annotation.
Side effects
- Sequence exceeds 4000 character limit — returns validation error
- Invalid characters in sequence (non-amino acid characters) — returns parse or validation error
- Invalid dataClass value (not 'public' or 'synthetic') — returns schema validation error
- Sequence is empty or missing — returns required field error
- Service unavailable or timeout — returns HTTP 5xx error
- Insufficient payment or x402 payment failure — returns 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| sequence | string | |
| dataClass | string |
Tags
x402
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