Evidence map›Paper›PMID 42311447›Full record

ArticleFrontiers in molecular biosciences2026

TDTAC: a generalized time-dependent torsion angle correlation framework for resolving directional coordination in large biomolecular assemblies.

Carolina Escobar Palacio, Tongye Shen, Chia-En A Chang

Abstract read
In one paragraph

Article in Frontiers in molecular biosciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Carolina Escobar PalacioDepartment of Chemistry, University of California, Riverside, CA, United States.
Tongye ShenDepartment of Biochemistry and Cellular and Molecular Biology, University of Tennessee, Knoxville, TN, United States.
Chia-En A ChangDepartment of Chemistry, University of California, Riverside, CA, United States.

Funding

Next-Generation GPU Computing Resource for Simulating Ligand-Protein Binding Kinetics/MechanismR01GM109045 · NIGMS · UNIVERSITY OF CALIFORNIA RIVERSIDE · PI CHANG, CHIA-EN · 2014 to 2023
$2.8M
NIGMS NIH HHS R01 GM109045
6 · The paper itself

Abstract

Proteins function through coordinated, time-dependent conformational motions, yet conventional analyses often obscure how these dynamics propagate across complex assemblies. Here, we introduce a generalized Time-Dependent Torsion Angle Correlation (TDTAC) framework that incorporates explicit time lags between residues, enabling quantitative mapping of directional, sequential correlations. By analyzing dihedral rotations, TDTAC reveals conformational dynamics through a physically meaningful representation of residue-level fluctuations. We apply this framework to examine how a small-molecule degrader may induce time-lagged structural rearrangements that facilitate targeted protein degradation. We analyzed the PROteolysis TArgeting Chimera (PROTAC) dBET70, a bifunctional small molecule in complex with its target protein, bromodomain-containing protein 4 (BRD4

Indexed as

allosteric communicationdynamic networkE3 ligasemolecular dynamicsprotein degradationtorsion analysisubiquitination

Identifiers

PMID42311447
PMCPMC13271675

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.