Systematic Analysis of Helical Protein Interfaces Reveals Targets for Synthetic Inhibitors
Open accessAbstract
Synthetic inhibitors of protein-protein interactions are being discovered despite the inherent challenge in targeting large contact surfaces with small molecules. An analysis of available examples identifies common features of complexes that make them tractable for small molecules. We deduced that relative disposition and energetic contributions of "hot spot" residues provide a predictive scale for the potential of protein-protein interactions to be inhibited by small molecules. On the basis of this model, we analyzed the full set of helical protein interfaces in the Protein Data Bank to identify those that are potentially suitable candidates for synthetic ligands.
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From Concepts to Inhibitors: A Blueprint for Targeting Protein–Protein Interactions
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HippDB: a database of readily targeted helical protein–protein interactions
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Cyclisation strategies for stabilising peptides with irregular conformations
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Protein–protein interactions in transcription: A fertile ground for helix mimetics
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Foldamers as Anticancer Therapeutics: Targeting Protein–Protein Interactions and the Cell Membrane
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Chiral Sulfoxide-Induced Single Turn Peptide α-Helicity
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Benzimidazole-2-one: A novel anchoring principle for antagonizing p53-Mdm2
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Backbone thioamide directed macrocyclisation: lactam stapling of peptides
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8-Triazolylpurines: Towards Fluorescent Inhibitors of the MDM2/p53 Interaction
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De Novo Hydrocarbon-Stapling Design of Single-Turn α-Helical Antimicrobial Peptides
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Design and Synthesis of a Prototype Scaffold for Five‐Residue α‐Helix Mimetics
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Stapled peptides: targeting protein-protein interactions in drug development
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- Authors
- Jochim, A. L., & Arora, P. S.
- Affiliations
- New York University (US)
- Corresponding author
- Arora, Paramjit S.
- ORCID
- Arora, Paramjit S.
- Venue
- ACS Chemical Biology
- Publisher
- American Chemical Society (ACS)
- Published
- 2010-08-25
- Volume
- 5
- Issue
- 10
- Pages
- 919-923
- ISSN
- 1554-8929 (ISSN-L)
- 1554-8937
- PMC
- PMC2955827
- OpenAlex
- W2041008131
- Cited by
- 191
- References
- 34
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 10 · 2023: 8 · 2022: 15 · 2021: 13 · 2020: 14 · 2019: 9 · 2018: 10 · 2017: 15 · 2016: 14 · 2015: 10 · 2014: 21 · 2013: 20 · 2012: 12
- FWCI
- 14.73
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- ACS Chemical Biology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institute of General Medical Sciences (GM 073943, R01GM073943)
- Topics
- 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
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Chemical Synthesis and Analysis
- Keywords
- protein-protein interaction, synthetic inhibitors, hot spot residues, small molecule inhibitors, ligand binding prediction, Protein Data Bank
- MeSH terms
- Animals, Binding Sites, Humans, Models, Molecular, Protein Binding, Proteins, Thermodynamics, Protein Structure, Secondary, Databases, Protein, Small Molecule Libraries
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