Conformational Preferences and Benchmarking of Computational Methods for Piperazine-Based Ligands

Piperazine-based scaffolds are one of the most ubiquitous fragments in drug design, yet their conformational preferences and the performance of computational methods for describing them remain underexplored. Here, we present a systematic benchmark of <i>N</i>-phenylpiperazine, 2-(piperazin-1yl)-pyrimidine, and selected derivatives using DLPNO-CCSD-(T)/CBS-(3,4) reference energies. Conformational sampling reveals two dominant orientations (straight and bent) and three pucker preferences (chair, boat, twisted-boat), with the chair conformation strongly favored across experimental crystal structures, protein-ligand complexes, and calculations. Against this reference, we evaluated semiempirical methods, MP2, and a broad range of density functional methods across multiple basis sets. Modern Density Functional Theory (DFT) functionals, in particular M06-2X/cc-pVDZ, offer the best balance of accuracy (MAE < 0.5 kcal/mol) and efficiency, while MP2/cc-pVDZ provides a reasonable ab initio alternative. Dispersion corrections offer minimal benefit for intramolecular conformational energetics. These results provide practical guidance for modeling piperazine-containing ligands and establish a transferable benchmarking framework for conformational studies of drug-like systems.

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Publication Details

Journal
ACS Omega
Published
2025-12-26
DOI
https://doi.org/10.1021/acsomega.5c11368
Citations
1
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
1.50
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article

Conformational Preferences and Benchmarking of Computational Methods for Piperazine-Based Ligands

Maura Malińska, Ewelina Zaorska, David A. Rincón
1 citations
ACS Omega
Computational Drug Discovery Methods
1.50
article

Conformational Preferences and Benchmarking of Computational Methods for Piperazine-Based Ligands

Maura Malińska, Ewelina Zaorska, David A. Rincón
article en
1 citations

Abstract

Piperazine-based scaffolds are one of the most ubiquitous fragments in drug design, yet their conformational preferences and the performance of computational methods for describing them remain underexplored. Here, we present a systematic benchmark of <i>N</i>-phenylpiperazine, 2-(piperazin-1yl)-pyrimidine, and selected derivatives using DLPNO-CCSD-(T)/CBS-(3,4) reference energies. Conformational sampling reveals two dominant orientations (straight and bent) and three pucker preferences (chair, boat, twisted-boat), with the chair conformation strongly favored across experimental crystal structures, protein-ligand complexes, and calculations. Against this reference, we evaluated semiempirical methods, MP2, and a broad range of density functional methods across multiple basis sets. Modern Density Functional Theory (DFT) functionals, in particular M06-2X/cc-pVDZ, offer the best balance of accuracy (MAE < 0.5 kcal/mol) and efficiency, while MP2/cc-pVDZ provides a reasonable ab initio alternative. Dispersion corrections offer minimal benefit for intramolecular conformational energetics. These results provide practical guidance for modeling piperazine-containing ligands and establish a transferable benchmarking framework for conformational studies of drug-like systems.

ACS OmegaVol. 11(1)
University of Warsaw (PL)
Openalex Percentile: Top 11%
Computational Drug Discovery Methods
1.50
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