Publications by authors named "Aws Al-Jumaily"
Article Synopsis
- Drug discovery is typically slow and costly, but AI methods are being used to accelerate the process and effectively create new drug candidates.
- While many AI-driven studies focus on a single-target approach, polypharmacology aims to find drugs that can bind multiple targets simultaneously for better disease treatment outcomes.
- Research shows that AI techniques for multi-target drug design can produce higher quality compounds more efficiently than traditional single-target methods, despite the common belief that multi-target design is more challenging.
Drug design and optimization are challenging tasks that call for strategic and efficient exploration of the extremely vast search space. Multiple fragmentation strategies have been proposed in the literature to mitigate the complexity of the molecular search space. From an optimization standpoint, drug design can be considered as a multi-objective optimization problem.
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