Abstract
Structure-based drug design (SBDD) has become an alternative to high throughput screening (HTS) as it reduces experimental costs and time. It works like a funnel, filtering out compounds that do not show good affinity (or score) toward a particular target, with known 3D structure.
Here, we describe a protocol for structure-based drug design using a multi-level in silico approach, combining Molecular Docking, Virtual Screening, Molecular Dynamics Simulations and Free energy calculations to find new lead molecules for experimental testing, predict binding affinities and characterize binding modes.
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Vieira, T.F., Sousa, S.F. (2023). Receptor-Based Virtual Screening of Large Libraries in a Multi-Level In Silico Approach. In: Sousa, Â., Passarinha, L. (eds) Advanced Methods in Structural Biology. Methods in Molecular Biology, vol 2652. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-3147-8_15
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DOI: https://doi.org/10.1007/978-1-0716-3147-8_15
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