Summarized specificity scores assessing candidate selectivity across target and off-target antigens. Specificity scores compare the binding signal of a candidate against its intended target antigen to the signal observed against off-target antigens at equivalent concentrations. Replicate measurements are averaged across samples, and each tested concentration is pivoted into its own column.Grain: one row per (candidate_library_id, sino_catalog_id, variant_id).
Identifies this candidate across the dataset. Two candidates with identical sequences share the same candidate_id.
candidate_library_id
string
Identifies the pooled candidate library that was expressed and tested.
candidate_name
string
The customer-provided name for this candidate.
candidate_sequence
string
The customer-provided sequence for this candidate.
variant_id
string
Identifies the specific sequence variant observed for this candidate. Equals candidate_id when the observed sequence matches the candidate sequence exactly.
variant_sequence
string
The observed sequence variant after sequencing.
sino_catalog_id
string
Identifies the antigen using its Sino Biological catalog number.
antigen_gene_name
string
Gene name of the antigen.
antigen_sequence
string
Amino acid sequence of the antigen.
is_expressed
boolean
Indicates whether this candidate was expressed in at least one sample.
For each antigen concentration tested, the table includes a log_specificity_score_{conc}nM column and a matching log_specificity_score_{conc}nM_std column. The standard workflow uses 5, 50, and 500 nM.
Column
Type
Description
log_specificity_score_5nM
float
Mean log specificity score at 5 nM, averaged across replicates.
log_specificity_score_5nM_std
float
Standard error of the mean log specificity score at 5 nM across replicates.
log_specificity_score_50nM
float
Mean log specificity score at 50 nM, averaged across replicates.
log_specificity_score_50nM_std
float
Standard error of the mean log specificity score at 50 nM across replicates.
log_specificity_score_500nM
float
Mean log specificity score at 500 nM, averaged across replicates.
log_specificity_score_500nM_std
float
Standard error of the mean log specificity score at 500 nM across replicates.
File:replicate-specificity-scores-YYYYMMDD.parquetSample-level specificity measurements across individual replicate samples and antigen concentrations. Use this table to inspect variation in selectivity between replicates and verify that candidate binding is specific to the intended target rather than cross-reactive with off-targets.Grain: one row per (expression_sample_id, binding_sample_id, variant_id).
Column
Type
Description
candidate_id
string
Identifies this candidate across the dataset. Two candidates with identical sequences share the same candidate_id.
candidate_library_id
string
Identifies the pooled candidate library that was expressed and tested.
candidate_name
string
The customer-provided name for this candidate.
candidate_sequence
string
The customer-provided sequence for this candidate.
variant_id
string
Identifies the specific sequence variant observed for this candidate. Equals candidate_id when the observed sequence matches the candidate sequence exactly.
variant_sequence
string
The observed sequence variant after sequencing.
binding_sample_id
string
Identifies the binding sample this measurement is based on, matching in dim_samples.
expression_sample_id
string
Identifies the expression sample this measurement is based on, matching in dim_samples.
sino_catalog_id
string
Identifies the antigen using its Sino Biological catalog number.
antigen_concentration_nM
float
Concentration of the antigen used for this measurement, in nanomolar (nM).
antigen_gene_name
string
Gene name of the antigen.
antigen_sequence
string
Amino acid sequence of the antigen.
log_specificity_score
float
Specificity score for this candidate in this sample at this concentration. Empty when Unique Molecular Identifier (UMI) counts do not meet quality thresholds.
is_expressed
boolean
Indicates whether this candidate was expressed in this sample.
