guntingAI Terminology, cutoffs, scores, and result fields

Reference guide

Understand every value shown in guntingAI

Search parameters, biological terminology, model-distance rules, guide-design scores, Multiplex values, annotations, coordinate-map symbols, account limits, and result fields.

Browse all definitions or enter a term.

Search model distance < 0.75 Strict default filter. A value equal to 0.75 is excluded.
Search mismatches ≤ 3 Default Hamming-distance allowance in Search.
Design GC range 0.35–0.75 Default accepted fraction, equivalent to 35%–75% GC.
Multiplex risk thresholds 80 / 55 ≥80 low, 55–<80 moderate, and <55 high.

Biological and coordinate foundations

Core concepts and abbreviations

Spacer

The guide-recognition DNA sequence submitted to guntingAI. Current reference models use strict 20-nucleotide spacers.

Also: guide spacer, query spacer

Matched spacer

The 20-base fragment retrieved from the selected model and compared with the query spacer. Only a row explicitly tagged Match is highlighted blue across the entire row and shown as a blue 5′→3′ arrow in the coordinate viewer.

Result field: fragment_seq

PAM

Protospacer-adjacent motif. A short sequence beside the spacer that is required by the selected Cas system. The observed PAM is drawn on the strand-correct side of the spacer arrow.

Examples: NGG, NAG

Cas / SpCas9

CRISPR-associated nuclease. SpCas9 refers to Cas9 from Streptococcus pyogenes, commonly associated with an NGG PAM pattern.

Cas = CRISPR-associated protein

IUPAC PAM symbols

Ambiguity symbols accepted in PAM patterns: R=AG, Y=CT, S=GC, W=AT, K=GT, M=AC, B=CGT, D=AGT, H=ACT, V=ACG, and N=ACGT.

N means any DNA base

5′ and 3′

Chemical directionality of a nucleic-acid strand. The blue arrow points in the displayed spacer’s 5′→3′ direction.

Read: five-prime and three-prime

Strand: + or −

The orientation of the matched fragment relative to the stored reference sequence. A minus-strand arrow points toward decreasing displayed genomic coordinates.

Also: forward and reverse orientation

Reverse complement

The opposite-strand representation obtained by reversing a DNA sequence and replacing A↔T and C↔G.

GC fraction

The fraction of spacer bases that are G or C. A value of 0.50 means 50% GC. Design and Multiplex defaults accept 0.35–0.75.

Result field: gc_fraction

Homopolymer

A run of the same base. The current Multiplex sequence check flags runs at or above the configured homopolymer length, commonly four repeated bases.

Example: AAAA

Hamming distance / mismatches

The number of base positions that differ between equal-length sequences. Zero means an exact spacer match.

Result field: hamming_distance

Locus

A genomic coordinate location. The same spacer may appear at more than one locus.

Nearest-fragment retrieval

Search parameters and result values

Species model / selected model

The reference or user-owned private model searched for nearest fragments. A private model is visible only to its owner unless publication is approved.

Parameter: model_key

Top matches

Maximum number of ranked rows returned for each query spacer after enabled filters are applied.

Parameter: top_k

Model distance

Distance between the query and a fragment in the model’s learned PCA representation. Lower means closer in that representation. It is not a cleavage probability, biological-risk probability, or percent identity.

Result field: pca_distance

Model distance cutoff

A strict hard filter. With the default value 0.75, only rows with model distance < 0.75 are returned. A row equal to 0.75 is excluded.

Parameter: max_model_distance

Maximum mismatches

Largest allowed Hamming distance for a positive Search call. The default is three mismatched positions.

Parameter: max_hamming

Require PAM match

When enabled, a retrieved row must contain a PAM compatible with the submitted pattern to be called positive.

Parameter: require_pam

Show nearest candidates

Includes nearest retrieved rows even when they fail the positive mismatch or PAM rules. The model-distance hard ceiling still applies.

Parameter: include_nearest_even_if_not_positive

Search depth

Multiplier controlling how many nearest candidates are initially retrieved from each model partition before ranking and trimming. Higher values can improve recall but increase work.

Parameter: search_multiplier

Model partition limit

Optional limit on how many stored model partitions are searched. Leaving it blank searches all available partitions.

Parameter: max_shards

Model version

Optional specific checkpoint version. Leaving it blank uses the model’s configured default version.

Parameter: checkpoint_version

Positive / Match

A row that passes enabled PAM and mismatch rules after the strict model-distance filter. A positive call can still contain mismatches when the allowed mismatch value is greater than zero.

Result field: positive_call

Exact spacer match

Query spacer and matched spacer are identical at every position. This is stricter than a positive call.

Internal/result field: exact_spacer_match

PAM match

Whether the observed PAM satisfies at least one submitted IUPAC PAM pattern.

Result field: pam_pass

Rank

Position of a row within one query spacer’s returned results. Positive and exact rows are prioritized before mismatch, PAM, and model-distance tie-breaking.

Query spacer versus matched spacer

Query spacer is the user-supplied sequence. Matched spacer is the retrieved model fragment. Their positional differences determine the mismatch count.

Model partition

A stored chromosome, contig, or bounded shard of a larger model. Partitioning limits memory requirements and enables resumable reference construction.

Result field: shard_key

Candidate generation and screening

Design parameters and scores

Target type

How the target is interpreted: gene name, gene ID, genomic interval, or pasted DNA sequence.

Parameter: target_type

Target value

The gene, identifier, coordinate interval, or DNA sequence used to generate candidate spacers.

Parameter: target_value

Preferred region

Optional annotation filter such as CDS or gene. “Any” permits all matching annotated feature types.

Parameter: design_region

Return top candidates

Number of final ranked Design rows returned after candidate generation and nearest-hit screening.

Parameter: top_n

Candidates to screen

Maximum deduplicated candidate spacers sent through the approximate target/off-target Search stage. Increasing it expands screening but requires more computation.

Parameter: max_candidates_to_screen

Minimum and maximum GC

Accepted GC-fraction range. Defaults are 0.35 and 0.75. A candidate outside the range loses Design preference and affects risk classification.

Parameters: min_gc, max_gc

Off-target mismatches

Largest mismatch count considered when counting nearby target/off-target candidates during Design screening.

Parameter: max_hamming_offtarget

Design score

A ranking heuristic. The initial score rewards GC near 50%, being inside the accepted GC range, and absence of a homopolymer. The screening stage subtracts 10 points per nearby hit up to a 50-point penalty and 15 points per additional exact target. Higher is preferred; the score is not a calibrated experimental probability and can fall below zero.

Result field: design_score

Design risk

Low: no nearby hits, at most one exact hit, acceptable GC, and no homopolymer. Moderate: at most three nearby hits with acceptable GC. Other screened candidates are marked high.

Result field: risk_level

Exact targets in screen

Number of retrieved PAM-compatible exact spacer targets in the approximate screening set.

Result field: exact_target_count_in_screen

Nearby targets in screen

PAM-compatible retrieved loci within the allowed mismatch cutoff, excluding the candidate’s source fragment.

Result field: near_target_count_in_screen

Observed PAM

PAM stored beside the generated candidate at its source coordinate.

Result field: observed_pam

Guide-panel compatibility

Multiplex parameters, cutoffs, and scores

Panel size

Number of guides included in a recommended combination. Leaving it blank evaluates the full submitted set as the main panel.

Parameter/result field: panel_size

Top panel combinations

Maximum number of ranked guide combinations returned.

Parameter: top_combinations

Hits per guide

Number of nearest Search rows retained for each guide when estimating exact and nearby target burden.

Parameter: top_k_per_guide

Guide score

A 0–100 heuristic composed of: exact-target recovery up to 35 points, uniqueness up to 15, specificity up to 25, GC preference up to 15, and 10 points when no homopolymer is detected.

Result field: guide_score

Target recovered

Whether at least one PAM-compatible exact target was retrieved for the guide.

Result field: on_target_recovered

Alternative exact count

Number of additional exact targets after subtracting the first exact target.

Result field: alternative_exact_count

Nearby target / off-target count

PAM-compatible retrieved rows with one or more mismatches up to the configured cutoff.

Result field: near_offtarget_count

Pair compatibility score

Starts at 100 and subtracts penalties for duplicate or similar spacers, long complementarity runs, shared exact targets, and shared target/off-target loci. It is clipped to 0–100.

Result field: pair_compatibility_score

Spacer Hamming distance

Number of positions that differ between two guide spacers. A small value indicates highly similar guide sequences.

Result field: spacer_hamming_distance

Complementarity run

Longest contiguous sequence-complementarity proxy found while aligning one spacer against the reverse complement of another. It is not a full RNA-folding calculation.

Result field: longest_complementarity_run

Shared exact targets / shared loci

Genomic locations retrieved by both guides. Shared loci can include exact targets and mismatch-near target/off-target locations.

Multiplex score

A 0–100 panel heuristic: 55% mean guide score, 30% mean pair compatibility, up to 10 points for target recovery, and up to 5 points for distinct exact-locus diversity.

Result field: multiplex_score

Multiplex risk thresholds

Score ≥80 is low risk, score ≥55 and below 80 is moderate, and score below 55 is high. An individual guide with no recovered exact target is marked unresolved.

Target recovery fraction

Fraction of guides in a recommended panel with a recovered best exact target. A value of 1.0 means all included guides recovered an exact target in the screened results.

Result field: on_target_recovery_fraction

Distinct loci and genes

Counts of unique exact target coordinates and unique annotated genes represented by a panel.

Coordinates and supplied feature data

Visual maps, chromosomes, and annotation

Blue spacer arrow

A blue shaft represents a Search row explicitly tagged Match, while other returned targets use gray shafts. Cyan-green arrowheads mark the 5′→3′ direction clearly in both light and dark themes.

PAM block

The small yellow block beside the arrow. It appears after a plus-strand spacer and before a minus-strand spacer in genomic coordinate orientation.

Chromosome / contig track

One coordinate lane for each returned chromosome, scaffold, plasmid, contig, or submitted FASTA record.

Displayed coordinate span

The map scales to the returned loci plus padding. It does not claim to show an entire chromosome unless full chromosome-length metadata is available.

Start and end

Stored genomic interval of the matched 20-base spacer. Annotation TSV, GFF3, and GTF use 1-based inclusive coordinates. BED input is interpreted using its standard 0-based, half-open convention and converted internally.

Annotation

Optional feature information supplied with a private genome model, such as genes, transcripts, exons, CDS regions, or custom intervals.

GFF3 / GTF / BED / TSV

Supported annotation formats. GFF3 is recommended. For guntingAI TSV, required columns are seqid, start, and end; optional columns include strand, feature_type, gene_id, gene_name, and annotation.

Sequence-ID matching

Annotation seqid values must match the first token after “>” in the corresponding FASTA header.

Feature type / region

Biological or custom interval class such as gene, mRNA, exon, CDS, intergenic, or uploaded_sequence.

Result field: feature_type

Intergenic

A guide window that does not overlap any supplied annotation interval.

Gene ID and gene name

Gene ID is an identifier from the supplied/reference annotation. Gene name is a human-readable symbol or label. Their accuracy depends on the annotation source.

Ownership, limits, and processing

Accounts, jobs, queues, and private models

Private model

A bounded model trained from a registered user’s FASTA sequence. It is restricted to its owner unless public contribution is requested and approved.

User-contributed model

A formerly private model approved by an administrator for inclusion in the shared model catalog. It is visibly marked as contributed by a user.

Genome-training cap

Maximum total FASTA bases a user may submit for self-service private training. Administrators may assign an individual cap up to the service safety ceiling.

One active job

A guest session or registered account may have one active Search, Design, Multiplex, or private-training job at a time.

Queued

The job has been accepted and is waiting for the relevant service slot.

Running

The job has been dispatched and processing is underway. Workspace remains the persistent source of truth if browser polling is interrupted.

Completed / done

Processing finished and the saved result is available to the authorized account.

Failed

The service reported a terminal processing or validation error. This differs from a temporary browser polling interruption.

Account provenance

Name, institution, affiliation, position, and email associated with model ownership, publication review, and saved records.

Light and dark themes

Use the appearance button in the header or mobile menu. The selected theme is saved in the browser; first visits follow the operating-system preference.

Appearance preference

Approximate screening

Search, Design, and Multiplex inspect nearest model fragments rather than proving exhaustive genome-wide biological specificity. Experimental and application-specific validation remain necessary.

Interpretation boundary

Scores rank computational evidence; they do not prove editing performance.

guntingAI does not directly model chromatin accessibility, delivery, expression, guide folding, nuclease loading, cellular competition, repair outcomes, toxicity, phenotype, or clinical safety.

Workflow guidance

Use the step-by-step operating guide.