Evidence map›Paper›PMID 37794680›Full record

ArticleBiophysical journal2023

Molecular analysis of the type III interferon complex and its applications in protein engineering.

William S Grubbe, Fabian Byléhn, Walter Alvarado, Juan J de Pablo, Juan L Mendoza

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 28% of its field
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
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

5 authors at 3 institutions in 1 country.

William S GrubbePritzker School of Molecular Engineering, University of Chicago, Chicago, Illinois.
Fabian ByléhnPritzker School of Molecular Engineering, University of Chicago, Chicago, Illinois.
Walter AlvaradoPritzker School of Molecular Engineering, University of Chicago, Chicago, Illinois.
Juan J de PabloPritzker School of Molecular Engineering, University of Chicago, Chicago, Illinois; Argonne National Laboratory, Lemont, Illinois.
Juan L MendozaPritzker School of Molecular Engineering, University of Chicago, Chicago, Illinois; Department of Biochemistry and Molecular Biology, University of Chicago, Chicago, Illinois. Electronic address: jlmendoza@uchicago.edu.
University of Chicago · USArgonne National Laboratory · USUniversity of Illinois Chicago · US

Funding

Shedding new light on cytokine signaling through molecular engineering - equipment supplementR35GM147179 · NIGMS · UNIVERSITY OF CHICAGO · PI Juan Luis Mendoza · 2022 to 2026
$2.0M
NIGMS NIH HHS R35 GM147179
6 · The paper itself

Abstract

Type III interferons (IFNλs) are cytokines with critical roles in the immune system and are attractive therapeutic candidates due to their tissue-specific activity. Despite entering several clinical trials, results have demonstrated limited efficacy and potency, partially attributed to low-affinity protein-protein interactions (PPIs) responsible for receptor complex formation. Subsequently, structural studies of the native IFNλ signaling complexes remain inaccessible. While protein engineering can overcome affinity limitations, tools to investigate low-affinity systems like these remain limited. To provide insights into previous efforts to strengthen the PPIs within this complex, we perform a molecular analysis of the extracellular ternary complexes of IFNλ3 using both computational and experimental approaches. We first use molecular simulations and modeling to quantify differences in PPIs and residue strain fluctuations, generate detailed free energy landscapes, and reveal structural differences between an engineered, high-affinity complex, and a model of the wild-type, low-affinity complex. This analysis illuminates distinct behaviors of these ligands, yielding mechanistic insights into IFNλ complex formation. We then apply these computational techniques in protein engineering and design by utilizing simulation data to identify hotspots of interaction to rationally engineer the native cytokine-receptor complex for increased stability. These simulations are then validated by experimental techniques, showing that a single mutation at a computationally predicted site of interaction between the two receptors increases PPIs and improves complex formation for all IFNλs. This study highlights the power of molecular dynamics simulations for protein engineering and design as applied to the IFNλ family but also presents a potential tool for analysis and engineering of other systems with low-affinity PPIs.

Indexed as

Interferon LambdaProtein EngineeringMolecular Dynamics SimulationProtein BindingSignal TransductionInterferon Lambda

Identifiers

PMID37794680
PMCPMC10645568
OpenAlexW4387335289

What Socratic holds

Textmetadata
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 Socratic graph.