Evidence map›Paper›PMID 38383543›Full record

ArticleNature communications2024

Design of target specific peptide inhibitors using generative deep learning and molecular dynamics simulations.

Sijie Chen, Tong Lin, Ruchira Basu, Jeremy Ritchey, Shen Wang, Yichuan Luo, Xingcan Li, Dehua Pei, Levent Burak Kara, Xiaolin Cheng

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
86.5field-weighted citation impact, top 1% 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

42 citing papers in PubMed, 255 citations in OpenAlex.

  1. Article
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  3. Article
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  7. Computationally Evidence-Grounded Sequence-First Design of Peptide Binders.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Review
  13. Target discovery and drug design in the era of artificial intelligence.Medicinal chemistry research : an international journal for rapid communications on design and mechanisms of action of biologically active agents · 2026
    Review
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  16. Article
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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

10 authors at 3 institutions in 2 countries.

Sijie Chen *College of Pharmacy, The Ohio State University, 281 W Lane Ave, Columbus, OH, USA.
Tong Lin *Mechanical Engineering Department, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA, USA.
Ruchira BasuDepartment of Chemistry and Biochemistry, The Ohio State University, 281 W Lane Ave, Columbus, OH, USA.
Jeremy RitcheyDepartment of Chemistry and Biochemistry, The Ohio State University, 281 W Lane Ave, Columbus, OH, USA.
Shen WangCollege of Pharmacy, The Ohio State University, 281 W Lane Ave, Columbus, OH, USA.ORCID 0000-0002-8466-6808
Yichuan LuoElectrical and Computer Engineering Department, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA, USA.
Xingcan LiDepartment of Radiology, Affiliated Hospital and Medical School of Nantong University, 20 West Temple Road, Nantong, Jiangsu, China.
Dehua PeiDepartment of Chemistry and Biochemistry, The Ohio State University, 281 W Lane Ave, Columbus, OH, USA. pei.3@osu.edu.ORCID 0000-0002-2057-6934
Levent Burak KaraMechanical Engineering Department, Carnegie Mellon University, 5000 Forbes Ave, Pittsburgh, PA, USA. lkara@cmu.edu.
Xiaolin ChengCollege of Pharmacy, The Ohio State University, 281 W Lane Ave, Columbus, OH, USA. cheng.1302@osu.edu.ORCID 0000-0002-7396-3225
The Ohio State University · USCarnegie Mellon University · USNantong University · CN

Funding

Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Daniel G. Stover · 1985 to 2026
$132.3M
Development of Cell-Permeable Peptides and ProteinsR35GM122459 · NIGMS · OHIO STATE UNIVERSITY · PI Dehua Pei · 2017 to 2026
$5.1M
Macrocyclic Peptidyl Inhibitors of NEMO-IKK InteractionR01CA234124 · NCI · OHIO STATE UNIVERSITY · PI PEI, DEHUA, WANG, QIEN · 2019 to 2023
$2.1M
Acquisition of a MALDI-TOF/TOF MS for Glycomic and Lipidomic ResearchS10RR025660 · NCRR · OHIO STATE UNIVERSITY · PI SCHLESINGER, LARRY S. · 2010 to 2010
$415k
NCI NIH HHS P30 CA016058NCI NIH HHS R01 CA234124NCRR NIH HHS S10 RR025660NIGMS NIH HHS R35 GM122459
6 · The paper itself

Abstract

We introduce a computational approach for the design of target-specific peptides. Our method integrates a Gated Recurrent Unit-based Variational Autoencoder with Rosetta FlexPepDock for peptide sequence generation and binding affinity assessment. Subsequently, molecular dynamics simulations are employed to narrow down the selection of peptides for experimental assays. We apply this computational strategy to design peptide inhibitors that specifically target β-catenin and NF-κB essential modulator. Among the twelve β-catenin inhibitors, six exhibit improved binding affinity compared to the parent peptide. Notably, the best C-terminal peptide binds β-catenin with an IC

Indexed as

Deep LearningMolecular Dynamics Simulationbeta CateninNF-kappa BPeptidesProtein Bindingbeta CateninNF-kappa BPeptides

Identifiers

PMID38383543
PMCPMC10882002
OpenAlexW4392091326

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.