UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

Sampling and Classifying High-Dimensional Conformational Free Energy Landscapes of Active Pharmaceutical Ingredients

Van Bronkhorst Ferreira, Alexandre; (2025) Sampling and Classifying High-Dimensional Conformational Free Energy Landscapes of Active Pharmaceutical Ingredients. Doctoral thesis (Ph.D), UCL (University College London). Green open access

[thumbnail of Van Bronkhorst Ferreira_thesis.pdf]
Preview
Text
Van Bronkhorst Ferreira_thesis.pdf

Download (36MB) | Preview

Abstract

We present a new method for calculating the high-dimensional conformational free energy landscapes of flexible drug-like molecules. Using Density Peaks Advanced’s density estimator, the free energy associated with individual configurations sampled from an enhanced sampling simulation can be calculated in a gridless manner, thus enabling the mapping of conformational ensembles in dimensionalities computationally inaccessible to grid-based methods. Due to the physics-based configurational sampling, conformers can be characterized by the configurations corresponding to the density peaks. The gridless nature of this method enables this characterization in the full dimensionality of a flexible molecule’s conformation space. This method can produce per-point free energy maps, which enable the study of conformational interchanges in a level of detail previously inaccessible. This method is initially demonstrated on molecules with 2, 4, and 11-dimensional conformational spaces and is presented alongside a set of consistency checks which enable the quality of the high-dimensional results to be assessed. Finally, to further demonstrate the utility of the method, a study of the conformational landscapes of 4 different molecules is presented. Each molecule is subjected to two distinct solvent environments, which have been linked experimentally to conformational changes in these systems. The subsequent impact on the high-dimensional free energy landscapes is explored through the use of Sketch-map projections and visual inspections of the conformers generated by the method.

Type: Thesis (Doctoral)
Qualification: Ph.D
Title: Sampling and Classifying High-Dimensional Conformational Free Energy Landscapes of Active Pharmaceutical Ingredients
Open access status: An open access version is available from UCL Discovery
Language: English
Additional information: Copyright © The Author 2025. Original content in this thesis is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) Licence (https://creativecommons.org/licenses/by-nc/4.0/). Any third-party copyright material present remains the property of its respective owner(s) and is licensed under its existing terms. Access may initially be restricted at the author’s request.
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Chemical Engineering
URI: https://discovery.ucl.ac.uk/id/eprint/10212112
Downloads since deposit
5Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item