Evidence map›Paper›PMID 36988562›Full record

ArticleJournal of chemical information and modeling2023

Structure Determination of Challenging Protein-Peptide Complexes Combining NMR Chemical Shift Data and Molecular Dynamics Simulations.

Arup Mondal, G V T Swapna, Maria M Lopez, Laura Klang, Jingzhou Hao, LiChung Ma, Monica J Roth, Gaetano T Montelione, Alberto Perez

Open access · greenAbstract read
In one paragraph

Article in Journal of chemical information and modeling, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.2field-weighted citation impact, top 8% 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

21 citing papers in PubMed, 24 citations in OpenAlex.

  1. Review
  2. Allosteric Protein Chemical Shift Perturbations are Ubiquitous.bioRxiv : the preprint server for biology · 2026
    Article
  3. Loop Plasticity Drives Paralog-Specific Recognition in BET ET Domains.Journal of chemical information and modeling · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Beyond Classical Force Fields: Physics-Driven Assessment of the Grappa Machine-Learned Force Field on the FoldBind Dataset.Chemphyschem : a European journal of chemical physics and physical chemistry · 2026
    Article
  8. Article
  9. Article
  10. Loop Plasticity Drives Paralog-Specific Recognition in BET ET Domains.bioRxiv : the preprint server for biology · 2025
    Article
  11. Article
  12. MELD in Action: Harnessing Data to Accelerate Molecular Dynamics.Journal of chemical information and modeling · 2025
    Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Towards rational computational peptide design.Frontiers in bioinformatics · 2022
    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

9 authors at 3 institutions in 1 country.

Arup MondalThe Quantum Theory Project, Department of Chemistry, University of Florida, Gainesville, Florida 32611, United States.ORCID 0000-0002-8970-3380
G V T SwapnaDepartment of Pharmacology, Robert Wood Johnson Medical School, Rutgers, The State University of New Jersey, Piscataway, New Jersey 08854, United States.
Maria M LopezDepartment of Chemistry and Chemical Biology, Center for Biotechnology and Interdisciplinary Sciences, Rensselaer Polytechnic Institute, Troy, New York 12180, United States.
Laura KlangDepartment of Chemistry and Chemical Biology, Center for Biotechnology and Interdisciplinary Sciences, Rensselaer Polytechnic Institute, Troy, New York 12180, United States.
Jingzhou HaoDepartment of Chemistry and Chemical Biology, Center for Biotechnology and Interdisciplinary Sciences, Rensselaer Polytechnic Institute, Troy, New York 12180, United States.
LiChung MaDepartment of Pharmacology, Robert Wood Johnson Medical School, Rutgers, The State University of New Jersey, Piscataway, New Jersey 08854, United States.
Monica J RothDepartment of Pharmacology, Robert Wood Johnson Medical School, Rutgers, The State University of New Jersey, Piscataway, New Jersey 08854, United States.
Gaetano T MontelioneDepartment of Chemistry and Chemical Biology, Center for Biotechnology and Interdisciplinary Sciences, Rensselaer Polytechnic Institute, Troy, New York 12180, United States.ORCID 0000-0002-9440-3059
Alberto PerezThe Quantum Theory Project, Department of Chemistry, University of Florida, Gainesville, Florida 32611, United States.ORCID 0000-0002-5054-5338
Rensselaer Polytechnic Institute · USRutgers, The State University of New Jersey · USUniversity of Florida · US

Funding

Targeting retroviral and virus-like particles for gene and protein deliveryR35GM122518 · NIGMS · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI Monica J. Roth · 2017 to 2026
$5.5M
Hybrid Methods for Dynamic Structure Analysis of Proteins from Pathogenic MicroorganismsR35GM141818 · NIGMS · RENSSELAER POLYTECHNIC INSTITUTE · PI MONTELIONE, GAETANO T · 2021 to 2025
$3.3M
Membrane Protein Structure Using Evolutionary Couplings and Sparse NMR DataR01GM120574 · NIGMS · RUTGERS, THE STATE UNIV OF N.J. · PI MONTELIONE, GAETANO T · 2017 to 2020
$2.3M
NIGMS NIH HHS R01 GM120574NIGMS NIH HHS R35 GM122518NIGMS NIH HHS R35 GM141818
6 · The paper itself

Abstract

Intrinsically disordered regions of proteins often mediate important protein-protein interactions. However, the folding-upon-binding nature of many polypeptide-protein interactions limits the ability of modeling tools to predict the three-dimensional structures of such complexes. To address this problem, we have taken a tandem approach combining NMR chemical shift data and molecular simulations to determine the structures of peptide-protein complexes. Here, we use the MELD (Modeling Employing Limited Data) technique applied to polypeptide complexes formed with the extraterminal domain (ET) of bromo and extraterminal domain (BET) proteins, which exhibit a high degree of binding plasticity. This system is particularly challenging as the binding process includes allosteric changes across the ET receptor upon binding, and the polypeptide binding partners can adopt different conformations (e.g., helices and hairpins) in the complex. In a blind study, the new approach successfully modeled bound-state conformations and binding poses, using only protein receptor backbone chemical shift data, in excellent agreement with experimentally determined structures for moderately tight (

Indexed as

Molecular Dynamics SimulationPeptidesProtein BindingProtein ConformationProteinsProtein Structure, SecondaryPeptidesProteins

Identifiers

PMID36988562
PMCPMC10150588
OpenAlexW4361292990

What OpenQuestion holds

Textmetadata
LicenceTDM
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.