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Mehdi Dehghan Manshadi1, Payam Setoodeh2, Habil Zare3,4

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Rapid-SL efficiently identifies synthetic lethals (SLs) for combinatorial therapeutics development. This method significantly speeds up the discovery of drug targets to combat microbial resistance.

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Area of Science:

  • Microbiology
  • Computational Biology
  • Systems Biology

Background:

  • Multidrug resistance in pathogens is a critical global health issue.
  • Combinatorial therapeutics offer enhanced efficacy over single-target drugs by exploiting synergistic effects.
  • Identifying synthetic lethals (SLs) is crucial for designing effective multi-target drug strategies.

Purpose of the Study:

  • To introduce Rapid-SL, an advanced computational method for identifying synthetic lethals.
  • To improve the efficiency and scope of synthetic lethal discovery compared to existing methods.
  • To enable targeted identification of higher-order synthetic lethals.

Main Methods:

  • Implementation of a multimodal Fast-SL method utilizing a depth-first search algorithm.
  • Development of Rapid-SL for arbitrary cardinality SL enumeration and targeted identification.
  • Application of Rapid-SL to the Escherichia coli genome-scale model (iAF1260).

Main Results:

  • Rapid-SL demonstrates reduced runtime and enables embarrassingly parallel computations.
  • The method successfully enumerated a significant portion of quadruple SLs (up to 67%) within a reduced search space (approx. 1%).
  • Discovery of 307 sextuples, 476 septuples, and over 9000 octuples for E. coli.

Conclusions:

  • Rapid-SL is a powerful tool for accelerating the identification of synthetic lethals.
  • The method facilitates the design of novel combinatorial therapeutics to combat antimicrobial resistance.
  • Efficient identification of higher-order SLs provides new avenues for drug development.