The valorization of lignins as renewable aromatic feedstock is of utmost importance in terms of the use of sustainable resources. This study provides a deductive approach towards market-oriented lignin-derived antioxidants by ascertaining the direct effect of different structural features of lignin on the reactivity of its phenolic OH groups in the radical scavenging reactions. The antioxidant activity of a series of compounds, modeling lignin structural units, was experimentally characterized and rationalized, using thermodynamic descriptors. The calculated O–H bond dissociation enthalpies (BDE) of characteristic lignin subunits were used to predict the modification pathways of technical lignins. The last ones were isolated by soda delignification from different biomass sources and their oligomeric fractions were studied as a raw material for modification and production of optimized antioxidants. These were characterized in terms of chemical structure, molecular weight distribution, content of the functional groups, and the antioxidant activity. The developed approach for the targeted modification of lignins allowed the products competitive with two commercial synthetic phenolic antioxidants in both free radical scavenging and stabilization of thermooxidative destruction of polyurethane films.

Passive permeation events across biological membranes are determining steps in the pharmacokinetics of xenobiotics. To reach an accurate and rapid prediction of membrane permeation coefficients of drugs is a complex challenge, which can efficiently support drug discovery. Such predictions are indeed highly valuable as they may guide the selection of potential leads with optimum bioavailabilities prior to synthesis. Theoretical models exist to predict these coefficients. Many of them are based on molecular dynamics (MD) simulations, which allow calculation of permeation coefficients through the evaluation of both the potential of mean force (PMF) and the diffusivity profiles. However, these simulations still require intensive computational efforts, and novel methodologies should be developed and benchmarked. Free energy perturbation (FEP) method was recently shown to estimate PMF with a significantly reduced computational cost compared to the adaptive biasing force method. This benchmarking was achieved with small molecules, namely short-chain alcohols. Here, we show that to estimate the PMF of bulkier, drug-like xenobiotics, conformational sampling is a critical issue. To reach a sufficient sampling with FEP calculations requires a relatively long time-scale, which can lower the benefits related to the computational gain. In the present work, the Accelerated Weight Histogram (AWH) method was employed for the first time in all-atom membrane models. The AWH-based protocol, named MemCross, appears affordable to estimate PMF profiles of a series of drug-like xenobiotics, compared to other enhanced sampling methods. The continuous exploration of the crossing pathway by MemCross also allows modelling subdiffusion by computing fractional diffusivity profiles. The method is also versatile as its input parameters are largely insensitive to the molecule properties. It also ensures a detailed description of the molecule orientations along the permeation pathway, picturing all intermolecular interactions at an atomic resolution. Here, MemCross was applied on a series of 12 xenobiotics, including four weak acids, and a coherent structure-activity relationship was established.

Interactions moléculaires des composés naturels avec les membranes lipidiques : Vers une meilleure compréhension de leurs actions biologiques et pharmaceutiques: Une des clés pour comprendre les mécanismes d’action biologiques des molécules naturelles et thérapeutiques est leur faculté à incorporer ou traverser les membranes lipidiques. Parce que les méthodes expérimentales sont parfois couteuses et répondent partiellement aux questions posés par les interactions composé-membrane, la modélisation moléculaire est devenue une sérieuse alternative. Les simulations de dynamique moléculaire ont ouvert de nombreuses perspectives ces dernières années en offrant la possibilité de décrire ces interactions intermoléculaires au niveau atomique. À l’aide de ces simulations, nous avons évalué la capacité de plusieurs composés (polyphénols, vitamines E et C, plantazolicine et carprofènes) à s’incorporer dans les membranes. Ces molécules ont été choisies pour leurs activités biologiques diverses, à savoir (i) activité antioxydante, précisément inhibition de la peroxydation lipidique, (ii) activité antibiotique et possibilité de former un pore transmembranaire, et (iii) inhibition d’enzymes impliquées dans la maladie d’Alzheimer. Leurs positions et orientations ainsi que leur capacité à s’accumuler ou à traverser les membranes ont été évaluées pour comprendre leurs mécanismes d’action.Dans le but d’utiliser les simulations de dynamique moléculaire en drug design, l’accent a été mis sur la précision des calculs, qui dépend de la qualité sous-jacente du modèle utilisé. En corrélant données expérimentales et théoriques, la méthodologie de nos modèles a été systématiquement revisitée. Le choix du champ de force, les paramètres des composés étudiés ainsi que la composition de la membrane sont en particulier apparus comme d’importants facteurs dans la description des interactions entre les molécules naturelles et thérapeutiques et les membranes. Des mélanges de lipides contenant du cholestérol ont notamment été utilisés et ont montré un impact significatif sur les résultats obtenus.

Passive permeation is a fundamental determinant of pharmacokinetics. The models that simulate permeation pathways and predict their energetic requirements need to account for the complexity of biological membranes. However, the impact of lipid bilayer composition on the thermodynamics of the passive permeation process is not yet fully understood. This study systematically evaluates how specific lipid types influence the free energy profiles through binary lipid bilayers for six xenobiotics with structural diversity: amantadine, diclofenac, metoprolol, pindolol, ranitidine, and scopolamine. Molecular dynamics (MD) simulations were conducted using MemCross, an all-atom MD protocol based on the Accelerated Weight Histogram (AWH) method, for five binary lipid mixtures. The bilayer models combined 1-palmitoyl-2-oleoyl-snglycero-3-phosphocholine (POPC) with cholesterol (CHOL), 1-palmitoyl-2-oleoyl-sn-glycero-3phosphoethanolamine (POPE), 1,2-diarachidonoyl-sn-glycero-3-phosphocholine (DAPC), or sphingomyelin (SM) to represent the lipid diversity of human plasma cell membranes. Our results demonstrate the lipid features that significantly modulate the free energy landscapes. We show that permeation is governed jointly by lipid composition and the intrinsic molecular properties of the permeants. We identify the mechanistic descriptors that drive the permeation process, explaining how they collectively contribute to passive permeation outcomes. Based on this knowledge, multivariate models were established, identifying key descriptors that can be obtained from rapid unbiased MD simulations.