Plucking the high hanging fruit: A systematic approach for targeting protein–protein interactions
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Development of specific ligands for protein targets that help decode the complexities of protein-protein interaction networks is a key goal for the field of chemical biology. Despite the emergence of powerful in silico and experimental high-throughput screening strategies, the discovery of synthetic ligands that selectively modulate protein-protein interactions remains a challenge for bioorganic and medicinal chemists. This Perspective discusses emerging principles for the rational design of PPI inhibitors. Fundamentally, the approach seeks to adapt nature's protein recognition principles for the design of suitable secondary structure mimetics.
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There are three different classes of PPI: short continuous peptide epitopes, secondary structural epitopes, and tertiary structural epitopes.
“Generally, there are three different classes of PPI: short continuous peptide epitopes, secondary structural epitopes, and tertiary structural epitopes.”
From The design and development of covalent protein-protein interaction inhibitors for cancer treatment (2020) · cites this paper as [27]
Secondary structural epitopes can bind as single unit, for example, a single face of an α-helix binding to a hydrophobic groove of complementary residues.
“Secondary structural epitopes can bind as single unit, for example, a single face of an α-helix binding to a hydrophobic groove of complementary residues (Fig. 2b) [27, 28].”
From The design and development of covalent protein-protein interaction inhibitors for cancer treatment (2020) · cites this paper as [27]
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- Authors
- Raj, M., Bullock, B. N., & Arora, P. S.
- Affiliations
- New York University (US)
- Corresponding author
- Arora, Paramjit S.
- Venue
- Bioorganic & Medicinal Chemistry
- Publisher
- Elsevier BV
- Published
- 2013-07
- Volume
- 21
- Issue
- 14
- Pages
- 4051-4057
- ISSN
- 0968-0896 (ISSN-L)
- PMC
- PMC3622812
- OpenAlex
- W2085829308
- Cited by
- 66
- References
- 118
- Citations by year
- 2026: 1 · 2025: 2 · 2022: 2 · 2021: 5 · 2020: 7 · 2019: 8 · 2018: 3 · 2017: 6 · 2016: 5 · 2015: 12 · 2014: 11 · 2013: 4
- FWCI
- 3.47
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Locations
- Bioorganic & Medicinal Chemistry (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Science Foundation
- Serbian Academy of Sciences and Arts
- National Institute of General Medical Sciences (GM 073943, R01GM073943)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Chemical Synthesis and Analysis
- Physical Sciences › Computer Science › Computational Theory and Mathematics › Computational Drug Discovery Methods
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Keywords
- protein-protein interaction, PPI inhibitors, rational drug design, protein recognition, ligand design, high-throughput screening, chemical biology
- MeSH terms
- Computer Simulation, Models, Molecular, Protein Binding, Proteins, Drug Delivery Systems, Protein Structure, Secondary, Small Molecule Libraries
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