Since the solvent choice drives organic reactivity, accurate computational modeling of explicit solute-solvent interactions remains crucial but preparation-intensive. We present COMPLAX, an open-source Python tool that automates the generation and optimization of targeted microsolvated clusters around highly localized active sites. Unlike unconstrained global optimizers, COMPLAX employs a rigid-core approach to preserve delicate solute geometries. To ensure unbiased spatial sampling, it couples a deterministic Fibonacci spherical lattice with three-dimensional rotational randomizations. Generated structures are refined via a two-stage xTB geometry optimization, utilizing a constrained pre-relaxation step to prevent unphysical solvent detachment. By automating conformer ranking and energy evaluations via a simple command-line interface, COMPLAX provides a reproducible, out-of-the-box solution for explicit microsolvation workflows.

COMPLAX: A Python Tool Package for Automated Microsolvation of Organic Molecules

Lauria, Federica
First
Membro del Collaboration Group
;
Maranzana, Andrea
Last
Membro del Collaboration Group
2026-01-01

Abstract

Since the solvent choice drives organic reactivity, accurate computational modeling of explicit solute-solvent interactions remains crucial but preparation-intensive. We present COMPLAX, an open-source Python tool that automates the generation and optimization of targeted microsolvated clusters around highly localized active sites. Unlike unconstrained global optimizers, COMPLAX employs a rigid-core approach to preserve delicate solute geometries. To ensure unbiased spatial sampling, it couples a deterministic Fibonacci spherical lattice with three-dimensional rotational randomizations. Generated structures are refined via a two-stage xTB geometry optimization, utilizing a constrained pre-relaxation step to prevent unphysical solvent detachment. By automating conformer ranking and energy evaluations via a simple command-line interface, COMPLAX provides a reproducible, out-of-the-box solution for explicit microsolvation workflows.
2026
66
20
13050
13055
https://pubs.acs.org/jcisd8/article/66/20/13050/5448227/COMPLAX-A-Python-Tool-Package-for-Automated
Lauria, Federica; Maranzana, Andrea
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/2166757
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