Virtual screening strategies in drug discovery

Area of Science:

• Computational chemistry
• Drug discovery
• Structural biology

Background:

• Increasing identification of novel therapeutic targets and their 3D structures.
• Computational screening methods are emerging as credible alternatives to high-throughput biochemical compound screening (HTS).

Purpose of the Study:

• To discuss currently used in silico screening techniques.
• To evaluate the utility of these techniques on a comparative and target-dependent basis.

Main Methods:

• High-throughput docking algorithms
• Pharmacophore-based searching algorithms
• Cheminformatics for small molecule library design and manipulation

Main Results:

• High-throughput docking methods show improved reproducibility and hit rates.
• Virtual screening methods are gaining acceptance as a major source of lead molecules.
• Advancements in cheminformatics support virtual screening efforts.

Conclusions:

• In silico screening techniques are valuable tools in modern drug discovery.
• These methods complement traditional HTS, enhancing lead identification.
• The utility of computational screening is dependent on the specific target and method used.