Evidence map›Paper›PMID 41340712›Full record

ArticleACS physical chemistry Au2025

Molecular Mechanisms of Gain-of-Function Mutations in λ Cro Revealed by Molecular Dynamics Simulations.

Ryan Hebert, Alexander Perez, Jeff Wereszczynski

Abstract read
In one paragraph

Article in ACS physical chemistry Au, 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

3 authors.

Ryan HebertDepartment of Physics, Illinois Institute of Technology, Chicago, Illinois 60625, United States.
Alexander PerezDepartment of Physics, Illinois Institute of Technology, Chicago, Illinois 60625, United States.
Jeff WereszczynskiDepartment of Physics, Illinois Institute of Technology, Chicago, Illinois 60625, United States.ORCID https://orcid.org/0000-0002-2218-3827

Funding

Probing the Structure/Function/Dynamics Relationship in Biomolecular Complexes With Multiscale Computational TechniquesR35GM119647 · NIGMS · ILLINOIS INSTITUTE OF TECHNOLOGY · PI WERESZCZYNSKI, JEFFERY · 2016 to 2025
$3.8M
NIGMS NIH HHS R35 GM119647
6 · The paper itself

Abstract

Transcription factors regulate gene expression by coordinating complex networks in organisms ranging from bacteriophages to humans. Bacteriophage λ Cro is a 66-residue repressor that binds DNA as a dimer to block transcription. Because of its small size, simple structure, and well-characterized function, Cro has long served as a model system for understanding the structure/function relationship in transcription factors. Experiments have shown that a small set of mutations can convert it into a dual-function transcription factor capable of both repression and activation. One engineered variant retains activity when truncated to 63 amino acids but loses function at 59, highlighting how little sequence is required for complex regulatory behavior. To probe the molecular basis of this adaptability, we performed multimicrosecond all-atom molecular dynamics simulations of wild-type Cro and two engineered variants, Act3 and Act8. The simulations reveal that minimal sequence changes can reorganize interaction surfaces, shift DNA-binding modes, modulate binding affinities, and redistribute intramolecular communication pathways. These effects on DNA binding occur alongside changes that may broaden regulatory potential, offering insight into how compact transcription factors evolve new functions. Together, these observations provide a mechanistic framework for understanding how transcription factor sequence, structure, and dynamics reshape gene regulatory function.

Indexed as

gene regulationmolecular dynamics simulationsprotein−DNA interactionstranscription factorsλ Cro

Identifiers

PMID41340712
PMCPMC12670291

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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.