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Protein–ligand binding affinity prediction of cyclin‐dependent kinase‐2 inhibitors by dynamically averaged fragment molecular orbital‐based interaction energy

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Fragment molecular orbital (FMO) method is a powerful computational tool for structure‐based drug design, in which protein–ligand interactions can be described by the inter‐fragment interaction energy (IFIE) and its pair… Click to show full abstract

Fragment molecular orbital (FMO) method is a powerful computational tool for structure‐based drug design, in which protein–ligand interactions can be described by the inter‐fragment interaction energy (IFIE) and its pair interaction energy decomposition analysis (PIEDA). Here, we introduced a dynamically averaged (DA) FMO‐based approach in which molecular dynamics simulations were used to generate multiple protein–ligand complex structures for FMO calculations. To assess this approach, we examined the correlation between the experimental binding free energies and DA‐IFIEs of six CDK2 inhibitors whose net charges are zero. The correlation between the experimental binding free energies and snapshot IFIEs for X‐ray crystal structures was R2 = 0.75. Using the DA‐IFIEs, the correlation significantly improved to 0.99. When an additional CDK2 inhibitor with net charge of −1 was added, the DA FMO‐based scheme with the dispersion energies still achieved R2 = 0.99, whereas R2 decreased to 0.32 employing all the energy terms of PIEDA.

Keywords: interaction energy; fragment molecular; energy; protein ligand

Journal Title: Journal of Computational Chemistry
Year Published: 2022

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