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New framework probes protein foundation models for biological interaction data

Researchers have developed ORBIT-FMIB, a new framework designed to analyze how protein foundation models like ESM-2 process different types of biological interaction information. The framework uses Walsh-based decomposition and subset-conditioned neural dependence estimation to probe model depth. Initial findings suggested ESM-2 might not retain higher-order epistatic information as well as lower-order information, but subsequent replication attempts yielded less conclusive results, indicating the need for robust reproducibility checks when interpreting such findings as biological discoveries. AI

IMPACT Provides a new diagnostic tool for understanding how protein foundation models process complex biological data.

RANK_REASON The cluster describes a new research framework and its application to analyze a specific model, detailed in an arXiv paper. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.LG →

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New framework probes protein foundation models for biological interaction data

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The cluster describes a new research framework and its application to analyze a specific model, detailed in an arXiv paper. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.LG TIER_1 English(EN) · Maryam Rahimimovassagh, Ivan Garibay, Niloofar Yousefi ·

    ORBIT-FMIB: Tracking Order-Resolved Epistatic Information Through ESM-2

    arXiv:2610.00672v1 Announce Type: new Abstract: Protein foundation models support mutation-effect and structural prediction, but predictive performance alone does not reveal which forms of biological interaction information remain accessible through model depth. We ask whether ES…