Accurate prediction of molecular properties requires the refinement of the full conformational ensemble at high levels of theory, which remains computationally demanding. Existing workflows typically rely on ad-hoc scripts and manual intervention. We present Ensemble Analyzer (EnAn), an open-source Python framework that automates this workflow. EnAn’s modular and extensible architecture integrates seamlessly with widely known calculators and allows automated generation and comparison of electronic and vibronic spectra. EnAn effectively manages the reproducible exploration of conformational spaces.

Pellegrini, A., Righi, P., Mazzanti, A., Mancinelli, M. (2026). Ensemble Analyzer: An Open-Source Python Framework for Automated Conformer Ensemble Refinement. JOURNAL OF CHEMICAL INFORMATION AND MODELING, 66(9), 5018-5025 [10.1021/acs.jcim.6c00273].

Ensemble Analyzer: An Open-Source Python Framework for Automated Conformer Ensemble Refinement

Pellegrini, Andrea
Primo
;
Righi, Paolo
Secondo
;
Mazzanti, Andrea
Penultimo
;
Mancinelli, Michele
Ultimo
2026

Abstract

Accurate prediction of molecular properties requires the refinement of the full conformational ensemble at high levels of theory, which remains computationally demanding. Existing workflows typically rely on ad-hoc scripts and manual intervention. We present Ensemble Analyzer (EnAn), an open-source Python framework that automates this workflow. EnAn’s modular and extensible architecture integrates seamlessly with widely known calculators and allows automated generation and comparison of electronic and vibronic spectra. EnAn effectively manages the reproducible exploration of conformational spaces.
2026
Pellegrini, A., Righi, P., Mazzanti, A., Mancinelli, M. (2026). Ensemble Analyzer: An Open-Source Python Framework for Automated Conformer Ensemble Refinement. JOURNAL OF CHEMICAL INFORMATION AND MODELING, 66(9), 5018-5025 [10.1021/acs.jcim.6c00273].
Pellegrini, Andrea; Righi, Paolo; Mazzanti, Andrea; Mancinelli, Michele
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/1062690
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