Evidence map›Paper›PMID 39670451›Full record

ArticleThe journal of physical chemistry. B2024

Analysis of the Dynamics of a Complex, Multipathway Reaction: Insulin Dimer Dissociation.

Kwanghoon Jeong, Spencer C Guo, Sammy Allaw, Aaron R Dinner

Abstract read
In one paragraph

Article in The journal of physical chemistry. B, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

4 authors.

Kwanghoon JeongDepartment of Chemistry, the University of Chicago, Chicago, Illinois 60637, United States.ORCID 0000-0002-5700-4075
Spencer C GuoDepartment of Chemistry, the University of Chicago, Chicago, Illinois 60637, United States.ORCID 0000-0001-7899-8382
Sammy AllawDepartment of Chemistry, the University of Chicago, Chicago, Illinois 60637, United States.
Aaron R DinnerDepartment of Chemistry, the University of Chicago, Chicago, Illinois 60637, United States.ORCID 0000-0001-8328-6427

Funding

Rare-event simulation and analysis for elucidating mechanisms of development and diseaseR35GM136381 · NIGMS · UNIVERSITY OF CHICAGO · PI Aaron Dinner · 2020 to 2026
$2.2M
Beagle-3: A Shared GPU Cluster for Biomolecular SciencesS10OD028655 · OD · UNIVERSITY OF CHICAGO · PI ROUX, BENOIT · 2020 to 2020
$2.0M
NIGMS NIH HHS R35 GM136381NIH HHS S10 OD028655
6 · The paper itself

Abstract

The protein hormone insulin forms a homodimer that must dissociate to bind to its receptor. Understanding the kinetics and mechanism of dissociation is essential for the rational design of therapeutic analogs. In addition to its physiological importance, this dissociation process serves as a paradigm for coupled (un)folding and (un)binding. Based on previous free energy simulations, insulin dissociation is thought to involve multiple pathways with comparable free energy barriers. Here, we analyze the mechanism of insulin dimer dissociation using a recently developed computational framework for estimating kinetic statistics from short-trajectory data. These statistics indicate that the likelihood of dissociation (the committor) closely tracks the decrease in the number of (native and nonnative) intermonomer contacts and the increase in the number of water contacts at the dimer interface; the transition state with equal likelihood of association and dissociation corresponds to an encounter complex with relatively few native contacts and many nonnative contacts. We identify four pathways out of the dimer state and quantify their contributions to the rate as well as their exchange by computing reactive fluxes. We show that both the pathways and their extents of exchange can be understood in terms of rotations around three axes of the dimer structure. Our results provide insights into the kinetics of insulin analogs and, more generally, how to characterize complex, multipathway processes.

Indexed as

InsulinKineticsMolecular Dynamics SimulationProtein MultimerizationThermodynamicsInsulininsulin dimers

Identifiers

PMID39670451
PMCPMC12768575

What Socratic holds

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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 Socratic graph.