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Therapeutic Inhibition of Myc in Cancer. Structural Bases and Computer-Aided Drug Discovery Approaches
Open accessAbstract
Myc (avian myelocytomatosis viral oncogene homolog) represents one of the most sought after drug targets in cancer. Myc transcription factor is an essential regulator of cell growth, but in most cancers it is overexpressed and associated with treatment-resistance and lethal outcomes. Over 40 years of research and drug development efforts did not yield a clinically useful Myc inhibitor. Drugging the “undruggable” is problematic, as Myc inactivation may negatively impact its physiological functions. Moreover, Myc is a disordered protein that lacks effective binding pockets on its surface. It is well established that the Myc function is dependent on dimerization with its obligate partner, Max (Myc associated factor X), which together form a functional DNA-binding domain to activate genomic targets. Herein, we provide an overview of the knowledge accumulated to date on Myc regulation and function, its critical role in cancer, and summarize various strategies that are employed to tackle Myc-driven malignant transformation. We focus on important structure-function relationships of Myc with its interactome, elaborating structural determinants of Myc-Max dimer formation and DNA recognition exploited for therapeutic inhibition. Chronological development of small-molecule Myc-Max prototype inhibitors and corresponding binding sites are comprehensively reviewed and particular emphasis is placed on modern computational drug design methods. On the outlook, technological advancements may soon provide the so long-awaited Myc-Max clinical candidate.
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![Figure 4 (Top) Multiple sequence alignment of the basic, helix-loop-helix, leucine zipper (bHLHLZ) domains of selected members of the Myc/Max/Mad network. Myc and Max monomers share ~60% similarity at the protein level in their bHLHLZ domains. Sequence conservations among Myc, Max, and Mad proteins are boxed and highlighted using the same coloring scheme as in the schematic of the bHLHLZ domain at the top. Conservation anomalies between the bHLHLZ domains of Max and Mad family relative to the three Myc paralogs [84] are indicated with a star (*) below the multiple alignment. Green dots indicate critical DNA recognition residues while red dots indicate important dimerization residues mutated in Omomyc. (Bottom) Available X-ray structures of complexes bound to the canonical E-box DNA recognition sequence: Myc-Max (PDB ID: 1NKP, 1.8 Å resolution), Mad-Max (PDB ID: 1NLW, 2 Å), Max-Max (PDB ID: 1AN2, 2.9 Å), and Omomyc (PDB ID: 15I0, 2.7 Å). Dimer assembly occurs through the helix-loop-helix (HLH) and leucine zipper (LZ) regions, while DNA binding takes place mainly through the basic (b) region and extends into the HLH region.](/paper-figures/e1664093cede41d7a6808be49b6be185/therapeutic-inhibition-of-myc-in-cancer-structural-bases-and-computer-aided-drug-figure-4.jpg)










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“Two compounds, VPC-70067 (191) and VPC-70063 (192) (Table 3), were ultimately obtained.472”
From Recent advances in targeting the “undruggable” proteins: from drug discovery to clinical trials (2023) · cites this paper as [472]
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All-Atom Empirical Potential for Molecular Modeling and Dynamics Studies of Proteins
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“Free and bound structures of the above-mentioned Myc peptides were modeled using the PREDITOR web server [152] based on dihedral constraints that were obtained from observed NMR chemical shifts, and further energy minimized using CHARMM27 parameters [153].”
MethodComparative Protein Modelling by Satisfaction of Spatial Restraints
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ZINC 15 – Ligand Discovery for Everyone
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“Five independent 100-nanosecond MD simulations in explicit solvent were then performed, using the Amber molecular dynamics package [129], for each of the following: Myc/PKUMDL-YC-1205, Myc/10074-A4, and Myc/AJ-292/41944612 (an inactive compound) docked complexes as initial structures.”
MethodZINC: A Free Tool to Discover Chemistry for Biology
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“7 million drug-like compounds from the ~6 million purchasable chemical space of the ZINC12 molecular database [145,146] reduced by physicochemical properties, including charge, number of rotatable bonds, and number of rings.”
BackgroundQuantifying the chemical beauty of drugs
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Cited by
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The MYC oncogene — the grand orchestrator of cancer growth and immune evasion
Dhanasekaran, R., Deutzmann, A., Mahauad‐Fernandez, W. D., Hansen, A. S., Gouw, A. M., & Felsher, D. W. (2021) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-021-00549-2 · Cited by 1,044
Targeting transcription factors in cancer — from undruggable to reality
Bushweller, J. H. (2019) · Nature Reviews Cancer · doi:10.1038/s41568-019-0196-7 · Cited by 919
Therapeutic targeting of “undruggable” MYC
Llombart, V., & Mansour, M. R. (2021) · EBioMedicine · doi:10.1016/j.ebiom.2021.103756 · Cited by 507
Small-Molecule MYC Inhibitors Suppress Tumor Growth and Enhance Immunotherapy
Han, H., Jain, A. D., Truica, M. I., Izquierdo-Ferrer, J., Anker, J. F., Lysy, B., Sagar, V., Luan, Y., Chalmers, Z. R., Unno, K., et al. (2019) · Cancer Cell · doi:10.1016/j.ccell.2019.10.001 · Cited by 479
Recent advances in targeting the “undruggable” proteins: from drug discovery to clinical trials
Xie, X., Yu, T., Li, X., Zhang, N., Foster, L. J., Peng, C., Huang, W., & He, G. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01589-z · Cited by 396
Metadata
- Authors
- Carabet, L. A., Rennie, P. S., & Cherkasov, A.
- Affiliations
- University of British Columbia (CA)
- Corresponding author
- Cherkasov, Artem
- ORCID
- Cherkasov, Artem
- Venue
- International Journal of Molecular Sciences
- Publisher
- MDPI AG
- Published
- 2018-12-29
- Volume
- 20
- Issue
- 1
- Pages
- 120
- ISSN
- 1422-0067 (ISSN-L)
- PMC
- PMC6337544
- OpenAlex
- W2907541282
- Cited by
- 172
- References
- 213
- Citations by year
- 2026: 11 · 2025: 23 · 2024: 29 · 2023: 17 · 2022: 23 · 2021: 29 · 2020: 26 · 2019: 14
- FWCI
- 1.81
- Type
- journal article
- Language
- en
- Open access
- gold
- dx.doi.org
- Licence
- Locations
- International Journal of Molecular Sciences (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- cIRcle (University of British Columbia) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Open Collections
- Topics
- Health Sciences › Medicine › Oncology › Cancer-related Molecular Pathways
- Life Sciences › Pharmacology, Toxicology and Pharmaceutics › Drug Discovery › Computational Drug Discovery Methods
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Mechanisms and Therapy
- Keywords
- c-Myc, MYC inhibitors, undruggable targets, intrinsically disordered proteins, small molecule inhibitors, structure-function relationship, protein-protein interaction, DNA-binding domain, cancer therapy resistance, computer-aided drug design
- MeSH terms
- Animals, Antineoplastic Agents, Humans, Protein Binding, Proto-Oncogene Proteins c-myc, Quantitative Structure-Activity Relationship, Small Molecule Libraries, Drug Discovery, Molecular Docking Simulation
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