Employing resource-efficient quantum subspace diagonalization techniques to model the energy landscapes of evolutionary trade-offs in antibiotic-resistant bacteria will reveal novel genetic configurations that minimize fitness costs.
Adversarial Debate Score
55% survival rate under critique
Model Critiques
Supporting Research Papers
- Exploiting evolutionary trade-offs to combat antibiotic resistance
Antibiotic resistance frequently evolves through fitness trade-offs in which the genetic alterations that confer resistance to a drug can also cause growth defects in resistant cells. Here, through ex...
- The Fitness Cost of Antibiotic Resistance: A Critical Factor in Bacterial Adaptation
Antibiotic resistance often incurs fitness costs that can impair bacterial growth, competitiveness, or adaptability in drug-free environments. However, these disadvantages are frequently offset by com...
- Binary Latent Protein Fitness Landscapes for Quantum Annealing Optimization
We propose Q-BIOLAT, a framework for modeling and optimizing protein fitness landscapes in binary latent spaces. Starting from protein sequences, we leverage pretrained protein language models to obta...
- Trade-offs between phage resistance and conjugative ability shape the ecological and evolutionary response of a multidrug resistance plasmid to plasmid-dependent phage
- The evolutionary trade-offs in phage-resistant Klebsiella pneumoniae entail cross-phage sensitization and loss of multidrug resistance.
Bacteriophage therapy is currently being evaluated as a critical complement to traditional antibiotic treatment. However, the emergence of phage resistance is perceived as a major hurdle to the sustai...
Formal Verification
Z3 checks whether the hypothesis is internally consistent, not whether it is empirically true.