Cited by 133Protein Structure and DynamicsComputational Drug Discovery MethodsProtein Degradation and Inhibitors

Targeting intrinsically disordered proteins at the edge of chaos

Ruan, Hao, Sun, Qi, Zhang, Weilin, Liu, Ying, Lai, Luhua·2019·Drug Discovery Today

Abstract

Intrinsically disordered proteins or intrinsically disordered regions (IDPs or IDRs) are those that do not fold into defined tertiary structures under physiological conditions. Given their prevalence in various diseases, IDPs are attractive therapeutic targets. However, because of the dynamic nature of the IDP structure, conventional structure-based drug design methods cannot be directly applied. Thanks to recent progress in understanding the mechanisms underlying IDP and ligand interactions, computational strategies for IDP-targeted rational drug discovery are emerging. Here, we summarize recent developments in computational IDP drug design strategies and their successful applications, analyze the typical properties of reported IDP-binding compounds (iIDPs), and discuss the major challenges ahead as well as possible solutions.

Integrity signals

Registry

Crossref · 10.1016/j.drudis.2018.09.017

Cites

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Disordered proteins and regions are characterized by broad and heterogeneous ensembles with small differences in relative conformational stabilities and low barriers.

    “Disordered proteins (regions) are characterized by broad and heterogeneous ensembles where the differences in the relative conformational stabilities are small, or even minor and the barriers are low.”

    From AlphaFold, Artificial Intelligence (AI), and Allostery (2022) · cites this paper as [134]

The citation lists haven’t been fetched yet

References 86 · Cited by 133

Authors
Ruan, H., Sun, Q., Zhang, W., Liu, Y., & Lai, L.
Affiliations
Peking University (CN)
Corresponding author
Lai, Luhua
Venue
Drug Discovery Today
Publisher
Elsevier BV
Published
2019-01
Volume
24
Issue
1
Pages
217-227
ISSN
1359-6446 (ISSN-L)
OpenAlex
W2893323080
Cited by
133
References
86
Citations by year
2026: 6 · 2025: 19 · 2024: 16 · 2023: 20 · 2022: 21 · 2021: 12 · 2020: 22 · 2019: 17
FWCI
1.25
Type
journal article
Language
en
Open access
closed
Locations
  • Drug Discovery Today (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Natural Science Foundation of China (21633001)
  • Ministry of Science and Technology of China (2016YFA0502303, 2015CB910300)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
  • Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Degradation and Inhibitors
Keywords
intrinsically disordered proteins, intrinsically disordered regions, rational drug discovery
MeSH terms
Animals, Humans, Ligands, Drug Design, Drug Discovery, Intrinsically Disordered Proteins

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review