Molecular docking has become an increasingly important tool for drug discovery. In this review,
we present a brief introduction of the available molecular docking methods, and their development
and applications in drug discovery. The relevant basic theories, including sampling algorithms and
scoring functions, are summarized. The differences in and performance of available docking
software are also discussed. Flexible receptor molecular docking approaches, especially those
including backbone flexibility in receptors, are a challenge for available docking methods. A
recently developed Local Move Monte Carlo (LMMC) based approach is introduced as a potential
solution to flexible receptor docking problems. Three application examples of molecular docking
approaches for drug discovery are provided.
Molecular docking has become an increasingly important tool for drug discovery. In this review,
we present a brief introduction of the available molecular docking methods, and their development
and applications in drug discovery. The relevant basic theories, including sampling algorithms and
scoring functions, are summarized. The differences in and performance of available docking
software are also discussed. Flexible receptor molecular docking approaches, especially those
including backbone flexibility in receptors, are a challenge for available docking methods. A
recently developed Local Move Monte Carlo (LMMC) based approach is introduced as a potential
solution to flexible receptor docking problems. Three application examples of molecular docking
approaches for drug discovery are provided.
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