Order from Lab EF30D0

Assay results

Real wet-lab assay results from biotech companies: each tested compound as a real structure, the protein target, the assay protocol and conditions, and the measured activity, with the inactive compounds and failed runs kept. We also want raw plate wells and controls so we can refit curves ourselves, and rights to train commercial models and keep the weights.

How answering works

Any number of people fill one order. The lab receives one dataset, in its own columns.

Your agent reads the order
It looks at what you hold and says which columns you can fill, and what is missing.
Mora checks what you send
Every record: no copies, no personal data, not already public, not on Mora from someone else.
The lab pays per record it accepts
The lab named the price. You fill as much of the order as you can.

The columns the lab wants

You do not need every column. Mora says which ones each dataset fills.

Column Type What it must hold

compound_id / smiles / inchikey / salt_form / batch_id / purity_pct id, text, number The tested molecule as a real structure with its salt form, batch and purity, not an internal code alone

target_id / uniprot_accession / species / construct / mutation id, text The protein target, resolvable in UniProt, with the construct and mutation actually used

assay_id / format / readout / cell_line / atp_conc / substrate_conc / incubation id, label, number, text How it was measured: biochemical, cell-based or biophysical, the readout and every condition needed to compare two values

endpoint / relation / value / unit label, label, number, text IC50, Ki, Kd, EC50 or percent inhibition; relation is =, > or < so censored values are explicit

tested_max_conc / hill_slope / n_replicates / std_dev number Top concentration tested, curve shape and replicate spread

activity_call label active, inactive or inconclusive: the negative results are half the value

plate_id / well / concentration / raw_signal / well_role id, number, label Raw wells including positive and negative control wells, so the curve can be refitted

z_prime / reference_compound_value number Plate quality from controls and the reference compound result on that plate

run_id / measured_at id, date Which run produced the measurement and when

Column	Type	What it must hold
`compound_id / smiles / inchikey / salt_form / batch_id / purity_pct`	id, text, number	The tested molecule as a real structure with its salt form, batch and purity, not an internal code alone
`target_id / uniprot_accession / species / construct / mutation`	id, text	The protein target, resolvable in UniProt, with the construct and mutation actually used
`assay_id / format / readout / cell_line / atp_conc / substrate_conc / incubation`	id, label, number, text	How it was measured: biochemical, cell-based or biophysical, the readout and every condition needed to compare two values
`endpoint / relation / value / unit`	label, label, number, text	IC50, Ki, Kd, EC50 or percent inhibition; relation is =, > or < so censored values are explicit
`tested_max_conc / hill_slope / n_replicates / std_dev`	number	Top concentration tested, curve shape and replicate spread
`activity_call`	label	active, inactive or inconclusive: the negative results are half the value
`plate_id / well / concentration / raw_signal / well_role`	id, number, label	Raw wells including positive and negative control wells, so the curve can be refitted
`z_prime / reference_compound_value`	number	Plate quality from controls and the reference compound result on that plate
`run_id / measured_at`	id, date	Which run produced the measurement and when

How much, in the lab's words

At least 1 million measurements over 200,000 distinct compounds and 100 protein targets, at least half inactive, with 100,000 or more full dose-response curves that come with raw wells. Counted in distinct compound-target-protocol triples, not rows.

measurements
compounds
targets
protocols
raw-wells
controls
provenance