Disease-to-target search
Gather supported target hypotheses from disease or phenotype context while keeping source evidence and unresolved queries explicit.
Target intelligence and selectivity
Search from a disease, phenotype, natural source, gene, or protein; separate exact target identity from fallback search; and connect tractability and structure readiness with molecule-level off-target evidence.
Evidence before target selection
MolexIO distinguishes a search result from an exact biological entity and a target hypothesis from a validated mechanism. Source records, identifiers, evidence categories, structures, pockets, and model readiness remain visible as a program moves from target discovery into molecule design.
Gather supported target hypotheses from disease or phenotype context while keeping source evidence and unresolved queries explicit.
Reconcile gene symbols, names, accessions, species, and relevant subunits before assigning structures or activity data.
Inspect genetic, pathway, literature, pharmacology, and other available evidence as distinct signals rather than one unexplained number.
Review known ligands, structure availability, pockets, and supported computational capabilities for the exact target.
Screen a molecule against a documented target panel and retain per-target method, score, evidence, and coverage.
Compare intended-target and off-target signals without labeling missing or incomparable results as demonstrated selectivity.
From context to program target
Start from disease, phenotype, gene, protein, natural source, or known molecule context.
Confirm the exact biological entity and flag ambiguous or unresolved results before reuse.
Review evidence, known chemistry, structures, pockets, and model capability for the target.
Evaluate molecule-level off-target risk and define the experimental panel needed next.
Scientific boundary
Disease associations can be indirect, context dependent, or affected by source bias. Off-target models depend on training coverage, molecular applicability, and panel composition. MolexIO reports unresolved identity, missing coverage, and prediction status so teams do not mistake a search hit or computational margin for causal biology or measured selectivity.
Questions before use
No. It ranks hypotheses from available evidence; biological and therapeutic validation remain separate work.
No. It prioritizes possible risk and follow-up but does not replace measured binding or functional data.
Isoforms, species, complexes, and accessions can change the relevant biology, structures, and evidence.
Keep biological context, structural readiness, compound evidence, and selectivity review attached to the same program.