BiologybioRxiv

Ranked by formulaVerdict: Notable

Expanding Therapeutic Target Space from Genes to Disease-Relevant Molecular Forms with Agent3Diso

Therapeutic targets are commonly defined at the gene or canonical protein level, yet therapeutic effects are ultimately exerted through specific molecular states operating in specific biological contexts.

By JIANG, Zhao

Score████░░░░░░4.3

Caveats

  • Preprint; not yet peer reviewed.

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Abstract

Therapeutic targets are commonly defined at the gene or canonical protein level, yet therapeutic effects are ultimately exerted through specific molecular states operating in specific biological contexts. Alternative splicing generates diverse RNA and translated protein forms whose functional consequences, disease relevance, and therapeutic vulnerabilities can differ substantially within the same gene. Resolving these disease-relevant molecular forms creates opportunities for selective intervention across complementary RNA- and protein-directed modalities, but requires reasoning across tightly coupled molecular layers, heterogeneous evidence, explicit biological constraints, and modality-specific therapeutic requirements. Here, we present Agent3Diso, a hybrid deterministic--agent multimodal framework for molecular-form-resolved therapeutic discovery. Agent3Diso establishes cross-layer molecular coherence from transcript identity and translation to structure, function, and disease context; enforces explicit molecular and therapeutic constraints through deterministic computation; and applies specialized agentic reasoning to evidence synthesis, mechanistic interpretation, conflict resolution, hypothesis critique, and experimental design. The framework evaluates therapeutic opportunities across multiple intervention modalities and translates prioritized disease-relevant molecular states into traceable hypotheses linking molecular identity, therapeutic rationale, modality, concrete intervention, uncertainty, and experimental validation. By integrating molecular resolution with constraint-aware and modality-conditioned agentic reasoning, Agent3Diso provides a framework for extending therapeutic discovery beyond gene-level targets toward disease-relevant molecular forms.

F. T. JIANG, R. Zhao

The editor's rubric

Heuristic review

Leverage3 / 5
A method or resource many groups across the field will adopt within a year.
24% of this desk’s rubric
Magnitude2 / 5
Solid incremental gain on a meaningful problem.
16% of this desk’s rubric
Evidence3 / 5
Solid: multiple benchmarks or cohorts, ablations, fair baselines, released code or data.
20% of this desk’s rubric
Novelty3 / 5
A genuinely new approach to an open problem.
20% of this desk’s rubric
Trajectory2 / 5
Some room to improve with obvious engineering.
10% of this desk’s rubric
Stakes2 / 5
Benefits a professional community (practitioners, clinicians, engineers).
10% of this desk’s rubric

Editor’s rationale

Heuristic triage from title and abstract text only, not a reading of the paper. Cues found: method (we propose); breadth (many tasks); novelty (discovery); verification (error bars, experimental validation); stakes (prevention or cure).

How the score was computed

rank-2026-10-18

Score████░░░░░░4.3

Score = 10 × (75% × adjusted merit / 10 + 15% × attention + 10% × freshness)

Desks place stronger verdicts first, then use this score to order work within the same verdict.

Merit
5.3 / 10
Weighted rubric, evidence-gated.
Adjusted merit
4.5 / 10
Shrunk toward the desk prior by editor confidence (42%).
Attention
0%
Citations, upvotes, points, mentions.
Freshness
88%
Half-life decay since publication.

No attention signals recorded yet.

The record

  • Reviewed by heuristic-v7 on Oct 24, 2026, 05:48 UTC. Paper type: method.
  • Categories: cancer biology
  • BRIEF, No.7 in the Biology edition of October 24, 2026.