Abstract
For fragment-based drug development, both hit (active) compound prediction and docking-pose (protein-ligand complex structure) prediction of the hit compound are important, since chemical modification (fragment linking, fragment evolution) subsequent to the hit discovery must be performed based on the protein-ligand complex structure. However, the naive protein-compound docking calculation shows poor accuracy in terms of docking-pose prediction. Thus, postprocessing of the protein-compound docking is necessary. Recently, several methods for the post-processing of protein-compound docking have been proposed. In FBDD, the compounds are smaller than those for conventional drug screening. This makes it difficult to perform the protein-compound docking calculation. A method to avoid this problem has been reported. Protein-ligand binding free energy estimation is useful to reduce the procedures involved in the chemical modification of the hit fragment. Several prediction methods have been proposed for high-accuracy estimation of protein-ligand binding free energy. This paper summarizes the various computational methods proposed for docking-pose prediction and their usefulness in FBDD.
Keywords: In-silico drug screening, protein-compound docking, virtual screening, Pharmacogram method, Consensus Ligand Binding mode Analysis method, Fragment Screening by Replica Generation, Smooth Reaction Path Generation, Filling potential
Current Topics in Medicinal Chemistry
Title: Post Processing of Protein-Compound Docking for Fragment-Based Drug Discovery (FBDD): In-Silico Structure-Based Drug Screening and Ligand-Binding Pose Prediction
Volume: 10 Issue: 6
Author(s): Yoshifumi Fukunishi
Affiliation:
Keywords: In-silico drug screening, protein-compound docking, virtual screening, Pharmacogram method, Consensus Ligand Binding mode Analysis method, Fragment Screening by Replica Generation, Smooth Reaction Path Generation, Filling potential
Abstract: For fragment-based drug development, both hit (active) compound prediction and docking-pose (protein-ligand complex structure) prediction of the hit compound are important, since chemical modification (fragment linking, fragment evolution) subsequent to the hit discovery must be performed based on the protein-ligand complex structure. However, the naive protein-compound docking calculation shows poor accuracy in terms of docking-pose prediction. Thus, postprocessing of the protein-compound docking is necessary. Recently, several methods for the post-processing of protein-compound docking have been proposed. In FBDD, the compounds are smaller than those for conventional drug screening. This makes it difficult to perform the protein-compound docking calculation. A method to avoid this problem has been reported. Protein-ligand binding free energy estimation is useful to reduce the procedures involved in the chemical modification of the hit fragment. Several prediction methods have been proposed for high-accuracy estimation of protein-ligand binding free energy. This paper summarizes the various computational methods proposed for docking-pose prediction and their usefulness in FBDD.
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Fukunishi Yoshifumi, Post Processing of Protein-Compound Docking for Fragment-Based Drug Discovery (FBDD): In-Silico Structure-Based Drug Screening and Ligand-Binding Pose Prediction, Current Topics in Medicinal Chemistry 2010; 10 (6) . https://dx.doi.org/10.2174/156802610791111452
DOI https://dx.doi.org/10.2174/156802610791111452 |
Print ISSN 1568-0266 |
Publisher Name Bentham Science Publisher |
Online ISSN 1873-4294 |
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