Use cases
Concrete workflows for research (mining, statistics, gene sets) and clinical variant interpretation (gene- and site-first). For general documentation see Help.
Compare mutation and disorder patterns across thousands of proteins
Open Statistics, choose a preset such as Human proteome or Cancer Gene Census, and inspect charts for somatic variant mix (missense vs indel vs frameshift), ordered vs disordered placement, ClinVar roll-ups, and pathogenicity distributions.
Tip: Build a custom set from a seed protein’s PPI neighbourhood or a GO term to study a pathway or complex.
Find proteins that match disorder + motif + mutation criteria
Use Dynamic Search to combine filters (e.g. high disordered fraction, presence of ELM / MFIB / PhasePro columns, minimum somatic counts). Narrow the list, then open Summary for finalists.
Tip: Precompiled tables offer ready-made slices if you prefer sortable spreadsheets without building every filter from scratch.
Deep dive on one gene product before an experiment or paper
Search the gene or accession → open Summary for tabbed plots, clinical mutation tables, pathogenicity views, and optional PPI shortcuts → use the full Visual page (/visual/…) for a genome-aware window along the sequence.
Tip: From Search results, use the REST/API button to pull the same annotation as JSON for scripts.
Place a bait protein in interaction and disease context
Open PPI network with your protein as seed: review partners, shared disease annotations, and disorder colouring on nodes.
Tip: Cross-check interesting partners back in Search or Statistics if you need cohort-level confirmation.
Aggregate a panel or screen hit list
Run Batch analysis on accessions or regions, then follow links into individual Summaries where needed.
Tip: For offline pipelines, use Downloads for bulk files and API for /rest/… access.
Relate cohort ROIs to disorder architecture
Browse Significantly mutated regions to see cancer ROIs mapped to proteins, then open the protein Summary to compare ROI intervals with disorder tracks and domains.
Tip: Combine with driver-focused views in Precompiled / Dynamic Search.
Interpret variants in a known disease gene
Search the HGNC symbol → open Summary → review germline tables (ClinVar / OMIM-style views), pathogenicity tracks (e.g. AlphaMissense, ensemble scores), and whether the residue lies in a predicted disordered or ordered segment.
Tip: In Summary, use the Visual Overview tab and feature dropdowns to see overlap with ELM, binding, or phase-separation annotations.
Check a specific amino-acid change quickly
Use Mutation / sample to enter protein coordinates or pasted variant lines (as supported by the form). The tool maps the site onto disorder and annotation context without browsing the whole proteome first.
Tip: Confirm transcript / isoform choice against your clinical pipeline; DisCanVis defaults to the canonical isoform where configured.
Survey how a phenotype maps to protein disorder
Open OMIM disease browse or ClinVar disease browse for tabular views with disordered vs ordered mutation counts per protein–disease row, then jump into Summary for detail.
Tip: Export or sort tables to prioritise genes with high disordered-variant burden for discussion.
See somatic mutation patterns alongside structure
From Summary (Visual Overview and Clinical Views tabs), enable TCGA / COSMIC / cBioPortal layers to inspect whether hotspots fall in disordered tails, kinase domains, or annotated binding regions.
Tip: For known drivers, cross-link to Precompiled driver slices and mutated regions for cohort-level ROI context.