Mechanism of activation and the rewired network: New drug design concepts

Ruth Nussinov*, Mingzhen Zhang, Ryan Maloney, Chung Jung Tsai, Bengi Ruken Yavuz, Nurcan Tuncbag, Hyunbum Jang

*Corresponding author for this work

Research output: Contribution to journalReview articlepeer-review

15 Scopus citations

Abstract

Precision oncology benefits from effective early phase drug discovery decisions. Recently, drugging inactive protein conformations has shown impressive successes, raising the cardinal questions of which targets can profit and what are the principles of the active/inactive protein pharmacology. Cancer driver mutations have been established to mimic the protein activation mechanism. We suggest that the decision whether to target an inactive (or active) conformation should largely rest on the protein mechanism of activation. We next discuss the recent identification of double (multiple) same-allele driver mutations and their impact on cell proliferation and suggest that like single driver mutations, double drivers also mimic the mechanism of activation. We further suggest that the structural perturbations of double (multiple) in cis mutations may reveal new surfaces/pockets for drug design. Finally, we underscore the preeminent role of the cellular network which is deregulated in cancer. Our structure-based review and outlook updates the traditional Mechanism of Action, informs decisions, and calls attention to the intrinsic activation mechanism of the target protein and the rewired tumor-specific network, ushering innovative considerations in precision medicine.

Original languageEnglish
Pages (from-to)770-799
Number of pages30
JournalMedicinal Research Reviews
Volume42
Issue number2
DOIs
StatePublished - Mar 2022

Funding

FundersFunder number
GDSC
TCGA
National Institutes of HealthHHSN261201500003I
U.S. Department of Health and Human Services
American Association for Cancer Research
National Cancer InstituteZIABC010441
NIH Clinical Center
Government of South Australia

    Keywords

    • K-Ras4B
    • KRAS
    • cancer network
    • driver mutations
    • drug discovery
    • inhibitor
    • kinases

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