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Updated: Jan 20, 2026

Author Spotlight: A Computational Approach to Decipher Amino Acid Preferences in Multispecific Protein-Protein Interactions
Published on: January 26, 2024
Conformational Preferences and Benchmarking of Computational Methods for Piperazine-Based Ligands
David A Rincón1, Ewelina Zaorska1, Maura Malinska1
1Faculty of Chemistry, University of Warsaw, Pasteura 1, 02-093 Warsaw, Poland.
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 N-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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