Evidence map›Paper›PMID 41292843›Full record

ArticlebioRxiv : the preprint server for biology2025

Loop Plasticity Drives Paralog-Specific Recognition in BET ET Domains.

Guadalupe Alvarez, Elizabeth Sebastian, Arup Mondal, Monica J Roth, Gaetano T Montelione, Alberto Perez

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

5 · Who and what money

Authors and funding

6 authors.

Guadalupe AlvarezChemistry department and Quantum Theory Project, University of Florida, Gainesville, FL, USA.
Elizabeth SebastianChemistry department and Quantum Theory Project, University of Florida, Gainesville, FL, USA.
Arup MondalChemistry department and Quantum Theory Project, University of Florida, Gainesville, FL, USA.
Monica J RothDepartment of Pharmacology, Rutgers-Robert Wood Johnson Medical School, 675 Hoes Lane Rm 636, Piscataway, NJ 08854 USA.
Gaetano T MontelioneCenter for Biotechnology and Interdisciplinary Sciences, Rensselaer Polytechnic Institute, Troy, New York, 12180, USA.
Alberto PerezChemistry department and Quantum Theory Project, University of Florida, Gainesville, FL, USA.

Funding

Targeting retroviral and virus-like particles for gene and protein deliveryR35GM122518 · NIGMS · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI Monica J. Roth · 2017 to 2026
$5.5M
Hybrid Methods for Dynamic Structure Analysis of Proteins from Pathogenic MicroorganismsR35GM141818 · NIGMS · RENSSELAER POLYTECHNIC INSTITUTE · PI MONTELIONE, GAETANO T · 2021 to 2025
$3.3M
Targeting the ET domain of BET proteins: specificity and selectivityR01GM149646 · NIGMS · UNIVERSITY OF FLORIDA · PI Alberto Perez · 2023 to 2026
$1.2M
NIGMS NIH HHS R01 GM149646NIGMS NIH HHS R35 GM122518NIGMS NIH HHS R35 GM141818
6 · The paper itself

Abstract

The bromodomain and extraterminal domain (BET) family of proteins recognizes diverse peptide motifs via their conserved ET domains, yet exhibits paralog-specific binding preferences with unclear structural origins. Here, we use extensive molecular dynamics simulations and ensemble-based analyses to investigate how two known peptide epitope binders - one from the host regulatory protein NSD3 and one from the murine leukemia virus integrase - interact with the ET domains of BRD3 and BRD4. Our results reveal that differences in peptide recognition are not driven by large conformational changes, but by subtle variations in loop dynamics and local secondary structure. Two divergent residues (positions 35 and 36) in the flexible loop connecting helices

Identifiers

PMID41292843
PMCPMC12642612

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.