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Recent advances in the development of protein–protein interactions modulators: mechanisms and clinical trials
Open accessAbstract
Protein–protein interactions (PPIs) have pivotal roles in life processes. The studies showed that aberrant PPIs are associated with various diseases, including cancer, infectious diseases, and neurodegenerative diseases. Therefore, targeting PPIs is a direction in treating diseases and an essential strategy for the development of new drugs. In the past few decades, the modulation of PPIs has been recognized as one of the most challenging drug discovery tasks. In recent years, some PPIs modulators have entered clinical studies, some of which been approved for marketing, indicating that the modulators targeting PPIs have broad prospects. Here, we summarize the recent advances in PPIs modulators, including small molecules, peptides, and antibodies, hoping to provide some guidance to the design of novel drugs targeting PPIs in the future.
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“However, peptides and proteins have general physicochemical properties, such as instability under physiological conditions, poor oral bioavailability and solubility, which make them less optimal drugs.19”
From Recent advances in targeting the “undruggable” proteins: from drug discovery to clinical trials (2023) · cites this paper as [19]
In the citing paper
“Among them, YAP/TAZ and β-catenin belong to TFs have traditionally been considered “undruggable” targets.”
From Recent advances in targeting the “undruggable” proteins: from drug discovery to clinical trials (2023) · cites this paper as [19]
In the citing paper
“There are several other undruggable proteins can be regulated by PPI modulation, such as YAP/TAZ, β-catenin, XIAP, etc.19”
From Recent advances in targeting the “undruggable” proteins: from drug discovery to clinical trials (2023) · cites this paper as [19]
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Metadata
- Authors
- Lu, H., Zhou, Q., He, J., Jiang, Z., Peng, C., Tong, R., & Shi, J.
- Affiliations
- University of Electronic Science and Technology of China (CN)
- Sichuan Academy of Medical Sciences & Sichuan Provincial People's Hospital (CN)
- Sichuan University (CN)
- University of Miami (US)
- Chengdu University of Traditional Chinese Medicine (CN)
- Corresponding author
- Peng, Cheng
- Tong, Rongsheng
- Shi, Jianyou
- Venue
- Signal Transduction and Targeted Therapy
- Published
- 2020-09-23
- Volume
- 5
- Issue
- 1
- Pages
- 213-213
- ISSN
- 2059-3635 (ISSN-L)
- PMC
- PMC7511340
- OpenAlex
- W3087769169
- Cited by
- 891
- References
- 272
- Citations by year
- 2026: 125 · 2025: 195 · 2024: 192 · 2023: 159 · 2022: 141 · 2021: 75 · 2020: 1
- FWCI
- 9.07
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Signal Transduction and Targeted Therapy (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- Chengdu Science and Technology Bureau (No. 2015-HM01-00463-SF)
- State Administration of Traditional Chinese Medicine of the People’ Republic of China (JDZX2015210)
- the Open Research Fund of Chengdu University of Traditional Chinese Medicine Key Laboratory of Systematic Research of Distinctive Chinese Medicine Resources in Southwest China
- the Key Research and Development Program of Science and Technology Department of Sichuan Provinc
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Degradation and Inhibitors
- Physical Sciences › Chemistry › Organic Chemistry › Chemical Synthesis and Analysis
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Drug Discovery › Computational Drug Discovery Methods
- Keywords
- protein-protein interaction, PPI inhibitors, drug discovery, small molecules, peptides, immunoglobulins, cancer, infectious diseases, neurodegenerative diseases, clinical trials
- MeSH terms
- Humans, Infections, Neoplasms, Drug Delivery Systems, Neurodegenerative Diseases, Drug Discovery, Protein Interaction Maps
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 ›
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