Bio-inspired algorithms applied to molecular docking simulations.

摘要: Nature as a source of inspiration has been shown to have great beneficial impact on the development new computational methodologies. In this scenario, analyses interactions between protein target and ligand can be simulated by biologically inspired algorithms (BIAs). These mimic biological systems create paradigms for computation, such neural networks, evolutionary computing, swarm intelligence. This review provides description main concepts behind BIAs applied molecular docking simulations. Special attention is devoted algorithms, guided-directed Lamarckian genetic algorithms. Recent applications these methodologies targets identified in Mycobacterium tuberculosis genome are described.