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Updated: May 26, 2026

Implementation of In Vitro Drug Resistance Assays: Maximizing the Potential for Uncovering Clinically Relevant Resistance Mechanisms
Published on: December 9, 2015
Targeting "undruggable" cancer proteins: pharmacological challenges and emerging strategies
Juan Luiz Coelho-Silva1, Natália Sudan Parducci1, Maria Fernanda Lopes Carvalho1
1Department of Pharmacology, Institute of Biomedical Sciences, University of São Paulo, São Paulo, Brazil.
Abstract:
Precision oncology has revolutionized cancer biology, yet a critical disconnect persists: many pivotal oncogenic drivers, such as MYC, KRAS, and transcription factors, remain 'undruggable' by conventional small molecules due to a lack of traditional ligand-binding pockets. Overcoming this barrier is an urgent clinical necessity. This review maps and analyzes six key innovative strategies that are redefining druggability: (I) targeted protein degradation [TPD; proteolysis-targeting chimeras (PROTACs) and molecular glues], which catalytically eliminates proteins via the ubiquitin-proteasome system; (II) protein-protein interaction (PPI) inhibitors, which block critical oncogenic interfaces; (III) nucleic acid-based therapies [small interfering RNA (siRNA), antisense oligonucleotides (ASOs), clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR-associated protein 9 (Cas9)], which modulate targets at the RNA or DNA level; (IV) covalent inhibitors, which form irreversible bonds with specific residues; (V) allosteric modulation, which exploits hidden or cryptic binding pockets; and (VI) artificial intelligence (AI), which accelerates discovery by predicting structures and designing novel molecules. For each modality, we discuss mechanistic principles, historical development, and clinical translation, highlighting success stories and persistent challenges. Finally, we synthesize these approaches into an integrated perspective, arguing that their future convergence, for example, using AI to design next-generation degraders or combining PPI inhibitors with immunotherapies, will be essential to overcome the limitations of any single approach and reshape the standard of care. This review argues that the paradigm of undruggability is being dismantled by a shift from simple occupancy-based inhibition to event-driven degradation, state-specific modulation, and root-cause genetic correction.
Insights
Innovative strategies like targeted protein degradation and AI are overcoming the
Area of Science:
- Oncology
- Molecular Biology
- Drug Discovery
Background:
- Precision oncology faces challenges with 'undruggable' cancer drivers like MYC and KRAS.
- Conventional small molecules are ineffective due to the absence of traditional binding pockets.
Purpose of the Study:
- To review and analyze six innovative strategies redefining cancer drug 'druggability'.
- To discuss the mechanisms, development, and clinical translation of these novel therapeutic approaches.
Main Methods:
- Targeted Protein Degradation (TPD): utilizing PROTACs and molecular glues.
- Protein-Protein Interaction (PPI) inhibitors.
- Nucleic acid-based therapies (siRNA, ASOs, CRISPR/Cas9).
- Covalent inhibitors and allosteric modulation.
- Artificial Intelligence (AI) for drug discovery.
Main Results:
- Each modality offers unique mechanisms to target previously undruggable proteins.
- Success stories and challenges in clinical translation are highlighted for each strategy.
- The convergence of these approaches, aided by AI, shows promise for future cancer therapies.
Conclusions:
- The paradigm of 'undruggability' is being dismantled by new therapeutic strategies.
- Future cancer treatment will likely involve integrated approaches, combining degradation, modulation, and genetic correction.
- AI-powered drug design and combination therapies are key to overcoming limitations and improving patient care.
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