Evidence map›Paper›PMID 40961160›Full record

ArticlePLoS computational biology2025

Ligands binding diffusively to protein target act as inhibitors of protein-protein interactions.

William Jeffries, Bryan M Delfing, Xavier E Laracuente, Xingyu Luo, Audrey Olson, Kenneth W Foreman, Kyung Hyeon Lee, Greg Petruncio, Vito De Benedictis, Mikell Paige and 3 more

Abstract read
In one paragraph

Article in PLoS computational 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

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

13 authors.

William JeffriesSchool of Systems Biology, George Mason University, Manassas, Virginia, United States of America.
Bryan M DelfingSchool of Systems Biology, George Mason University, Manassas, Virginia, United States of America.
Xavier E LaracuenteSchool of Systems Biology, George Mason University, Manassas, Virginia, United States of America.
Xingyu LuoSchool of Systems Biology, George Mason University, Manassas, Virginia, United States of America.
Audrey OlsonSchool of Systems Biology, George Mason University, Manassas, Virginia, United States of America.
Kenneth W ForemanDepartment of Chemistry and Biochemistry, George Mason University, Manassas, Virginia, United States of America.
Kyung Hyeon LeeDepartment of Chemistry and Biochemistry, George Mason University, Manassas, Virginia, United States of America.
Greg PetruncioDepartment of Chemistry and Biochemistry, George Mason University, Manassas, Virginia, United States of America.
Vito De BenedictisDepartment of Chemistry and Biochemistry, George Mason University, Manassas, Virginia, United States of America.
Mikell PaigeDepartment of Chemistry and Biochemistry, George Mason University, Manassas, Virginia, United States of America.
Kylene Kehn-HallDepartment of Biomedical Sciences and Pathobiology, Virginia-Maryland College of Veterinary Medicine, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, United States of America.
Christopher LockhartSchool of Systems Biology, George Mason University, Manassas, Virginia, United States of America.
Dmitri K KlimovSchool of Systems Biology, George Mason University, Manassas, Virginia, United States of America.ORCID 0000-0002-2893-867X

Funding

Developing capsid-importin alpha inhibitors for the treatment of VEEV infectionR01AI143817 · NIAID · GEORGE MASON UNIVERSITY · PI KEHN-HALL, KYLENE, KLIMOV, DMITRI KONSTANTINOVICH · 2020 to 2024
$3.6M
NIAID NIH HHS R01 AI143817
6 · The paper itself

Abstract

Nuclear localization signal (NLS) sequence from capsid protein of Venezuelan equine encephalitis virus (VEEV) binds to importin-α transport protein and clogs nuclear import. Prevention of viral NLS binding to importin-α may represent a viable therapeutic route. Here, we investigate the molecular mechanism by which two diffusively binding inhibitors, DP9 and DP9o, interfere with the binding of VEEV's NLS peptide to importin-α. Our study uses all-atom replica exchange molecular dynamics simulations, which probe the competitive binding of the VEEV NLS fragment, the coreNLS peptide, and the inhibitors to importin-α. Our previous simulations of non-competitive binding of the coreNLS, in which it natively binds to importin-α, are used as a reference. Both inhibitors abrogate native peptide binding and reduce the fraction of its native interactions, but they fail to prevent its non-native binding to importin-α. As a result, these inhibitors turn the coreNLS into diffusive binder, which adopts a manifold of non-native binding poses. Competition from the inhibitors compromises the free energy of coreNLS binding to importin-α showing that they reduce its binding affinity. The inhibition mechanism is based on masking the native binding interactions formed by the coreNLS amino acids. Surprisingly, ligand interference with the binding interactions formed by importin-α amino acids contributes little to inhibition. We show that DP9 is a stronger inhibitor than DP9o. By comparative analysis of DP9 and DP9o interactions we determine the atomistic reason for a relative "success" of DP9, which is due to the intercalation of this inhibitor between the side chains of NLS lysine residues. To test our simulations, we performed AlphaScreen experiments measuring IC50 values for the inhibitors. AlphaScreen data confirmed in silico ranking of the inhibitors. By combining our recent studies, we discuss the putative mechanism by which diffusively binding inhibitors impact protein-protein interactions.

Indexed as

alpha KaryopherinsCapsid ProteinsBinding SitesEncephalitis Virus, Venezuelan EquineLigandsMolecular Dynamics SimulationNuclear Localization SignalsProtein Bindingalpha KaryopherinsCapsid ProteinsLigandsNuclear Localization Signals

Identifiers

PMID40961160
PMCPMC12456801

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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.