Adrien Schahl

@aschahl.bsky.social

Postdoc in Delemotte group of Scilifelab and KTH. MD of proteins lipids and sugars.

🧬 Glad to share my first paper as a postdoc in the York Lab, out in JACS! Using MD, 3D-RISM, alchemical free energy, QM pKa shift & QM/MM, we characterize the origins of reactivity of SAMURI ribozyme-catalyzed RNA alkylation. W/ Y. Du, E. McCarthy, Ş. Ekesan, D.M. York 🔗 pubs.acs.org/doi/10.1021/...

Origins of Reactivity in SAM-Utilizing Ribozyme SAMURI-Catalyzed RNA Alkylation

Unlocking the design principles of programmable RNA catalysts capable of site-specific chemical modification is critical for expanding the functional and therapeutic potential of RNA. The SAM analogue-utilizing ribozyme (SAMURI) enables site-specific RNA alkylation using either S-adenosylmethionine (SAM) or the synthetic cofactor propargylic Se-2,6-diaminopurinribosyl-selenomethionineamide (ProSeDMA), yet the molecular determinants of its reactivity remain incompletely understood. Here, we combined molecular dynamics, 3D-RISM solvation analysis, alchemical free energy calculations, quantum pKa shift predictions, and ab initio QM/MM free energy simulations to characterize the conformational and electronic factors that govern catalysis. Simulations show that, although the global fold of SAMURI remains stable in solution, the formation of catalytically competent near-attack configurations is rare, indicating that the observed rate depends on access to a minor fraction of these reactive conformations (freact). A putative Mg2+ binding site between the SAM carboxylate and the G30 phosphate, together with a hydrogen bond between the cofactor α-amine and U8:O2, enriches freact. QM/MM simulations support an SN2-like alkyl transfer mechanism and show that ProSeDMA reacts more readily than SAM primarily due to its more favorable electronic leaving group properties that enhance the intrinsic rate (kint). Atomic substitutions at A52 that tune the N3 pKa enhance nucleophilicity, further lower the activation barrier, and increase kint. Together, these results show that SAMURI catalysis is governed by a combination of conformational preorganization and electronic effects, providing a framework to guide the design of new programmable RNA alkyltransferases.

pubs.acs.org

How do you choose a CV for MD enhenced sampling methods ? Well, this question is not easy to answer. We tried to help the MD community by giving some clues about it in the following review : www.sciencedirect.com/science/arti... Feedbacks appreciated :)

Collective variable design for biomolecular conformational dynamics

Describing conformational changes in biomolecules using molecular dynamics simulations requires defining an appropriate low-dimensional mathematical d…

sciencedirect.com

One of the reasons I love science is because sometimes jigsaw puzzles such as the cholera toxin B sub pentamer (CTB5) land on your desk... And here it is, fresh off the press ⤵️😎 Led by John Klassen and team at the wheel with the variable temp nMS 🍳 REMD analysis reviewed ⤵️ doi.org/10.1021/acs....

Unraveling the Molecular Basis of Cooperativity in Cholera Toxin–Glycan Interactions

Cooperative ligand binding is an important determinant of specificity and regulation in biomolecular complexes. Yet, its prevalence and mechanistic basis in glycan-binding proteins (GBPs) remain unclear. Here, we present the first quantitative analysis of the temperature dependence of cooperative glycan binding. Variable-temperature native mass spectrometry (VT-nMS) resolved sequential ligand binding to either the five primary or the five secondary sites of the cholera toxin B subunit homopentamer (CTB5). Stepwise apparent affinities for the primary sites reveal positive cooperativity that strengthens with both ligand occupancy and temperature. Van’t Hoff analysis shows that this temperature-enhanced cooperativity is predominantly entropy driven. Mechanistic insight from temperature replica exchange molecular dynamics simulations shows that ligand binding at one primary site restrains a loop on an adjacent subunit (counterclockwise), widening its binding site. This prestructuring progressively lowers the unfavorable conformational entropy penalty of binding, independent of the order of subunit occupancy. In contrast, sequential ligand binding at the secondary sites exhibits negligible cooperativity except at the highest temperatures, although the enthalpic and entropic contributions are comparable in magnitude to those for primary-site binding, suggesting a shared energetic framework. Together, these results provide detailed thermodynamic and structural insight into cooperative GBP–glycan interactions and establish an integrated VT-nMS and molecular dynamics framework for quantitatively probing cooperative ligand binding in complex biomolecular systems.

doi.org

GlycoShape@glycoshape.org · 2mo ago

Carbohydrate-binding is a small profit affair, so proteins often adopt complex multidomain architectures enabling a mechanism known as 'binding cooperativity', where binding to one monomer contributes to the binding affinity of the whole systems BUT how does it actually work? 🔥 #glycotime 🧵1/4 ⬇️

I'm very happy to say that Sina Geissler's first thesis paper on modeling the interaction between mannose and the DC)SIGN and MRC1 receptors is now out in Biochemistry. Congratulations Sina !🎉 pubs.acs.org/doi/10.1021/...

A Comparative Investigation of the Mannose Binding Interface in DC-SIGN and MRC1 Carbohydrate Recognition Domains with All-Atom Molecular Dynamics Simulations

Protein-carbohydrate interactions play a key role in numerous biological processes, including immune response, and glycan-based ligands that can target specific protein receptors on a cell surface represent promising candidates for therapeutics applications. For example, in retinoblastoma, the DC-SIGN mannose receptor is overexpressed on the surface of pathogenic cells and represents an interesting target for mannose-based ligands. At the same time, these ligands should not bind to the MRC1 receptor, which is expressed by adjacent, healthy, retinal pigment epithelial cells and presents a carbohydrate recognition domain (CRD) similar to the one of DC-SIGN. Therefore, the challenge remains to obtain a detailed picture of the recognition process between carbohydrates and proteins, in order to design effective and selective therapeutic compounds. In this work we used classical, all-atom molecular dynamics (MD) simulations to investigate the interaction between several mannose based ligands and the CRDs from DC-SIGN and MRC1. The analysis of the protein-carbohydrate contacts from the resulting trajectories highlights the variability of the mannose binding modes on both CRDs, and shows how the increased affinity of mannose for the MRC1 CRD can be related to a specific mannose binding state that is not accessible in the DC-SIGN CRD.

pubs.acs.org

Voilà enfin le papier dont je vous parlais depuis un petit temps. Hsp70 diversification and repurposing across the tree of life: Lessons from the evolutionary and mechanistic trajectory of the Hsp70–Hsp110 chaperone system febs.onlinelibrary.wiley.com/doi/10.1111/...

FEBS Press

Evolutionary and mechanistic divergence in the Hsp70–Hsp110 chaperone system. Prokaryotic Hsp70s probably diversified into multiple orthologues that cooperated with co-chaperones such as JDPs and NEF...

febs.onlinelibrary.wiley.com

🎉 𝐄𝐱𝐜𝐢𝐭𝐞𝐝 𝐭𝐨 𝐬𝐡𝐚𝐫𝐞 𝐨𝐮𝐫 𝐧𝐞𝐰 𝐩𝐮𝐛𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐢𝐧 𝐓𝐡𝐞 𝐄𝐌𝐁𝐎 𝐉𝐨𝐮𝐫𝐧𝐚𝐥! After 8 months of revision, our work is now online: shorturl.at/WHmFq We uncover a previously unrecognized way that 𝑀𝑦𝑐𝑜𝑏𝑎𝑐𝑡𝑒𝑟𝑖𝑢𝑚 𝑡𝑢𝑏𝑒𝑟𝑐𝑢𝑙𝑜𝑠𝑖𝑠 survives toxic metal stress during infection. ...

Membrane-associated effluxosomes coordinate multi-metal resistance in Mycobacterium tuberculosis - The EMBO Journal

Bacterial pathogens must withstand metal-induced stress during infection, yet the mechanisms by which they sense and respond to toxic metal ions remain incompletely understood. Here, we uncover a prev...

shorturl.at

#compchem #compchemsky Our paper in J. Phys. Chem. Lett.: "Accelerating Molecular Dynamics Simulations with Foundation Neural Network Models using Multiple Time-Step and Distillation" made it to one of the covers! pubs.acs.org/doi/full/10....

Bild
Jean-Philip Piquemal@jppiquem.bsky.social · 7mo ago

#compchem #machinelearning 1st of the year in J. Phys. Chem. Lett.: "Accelerating Molecular Dynamics Simulations with Foundation Neural Network Models using Multiple Time-Step and Distillation". pubs.acs.org/doi/full/10.... (see also the updated preprint: arxiv.org/abs/2510.06562)

💫 We just released the weights of the #FeNNixBio1 foundation machine learning model for drug design! 💫 Weights: github.com/FeNNol-tools... FeNNol code: github.com/FeNNol-tools... The models are distributed under the open source ASL license (non-commercial academic research). #compchem #compbio

GitHub - FeNNol-tools/FeNNol-PMC: FeNNol Pretrained Models Collection

FeNNol Pretrained Models Collection. Contribute to FeNNol-tools/FeNNol-PMC development by creating an account on GitHub.

github.com

New paper is out ! We show that all classical phosphorylation forcefields that we tested lead to an overbinding of phosphate groups to bulk sodium (Na+) and potassium (K+) cations. This assessment has serious implications for MD simulations of phosphorylated proteins ! doi.org/10.1021/acs....

Sticky Salts: Overbinding of Monovalent Cations to Phosphorylations in All-Atom Force Fields

Phosphorylation is a major post-translational modification that is involved in the regulation of the dynamics and function of intrinsically disordered proteins (IDPs). We recently characterized a phen...

doi.org

"Across (Conformational) Space and (Relaxation) Time", @marienj.bsky.social's latest work, is now out in J. Phys. Chem. B @pubs.acs.org. In this paper, we used coarse-grain simulations with the CALVADOS model to investigate the dynamics of a large IDP. pubs.acs.org/doi/10.1021/...

Across (Conformational) Space and (Relaxation) Time: Using Coarse-Grain Simulations to Probe the Intra- and Interdomain Dynamics of the Tau Protein

The biological importance of intrinsically disordered proteins (IDPs) has been established for over two decades, yet these systems remain difficult to characterize, as they are better described by conformational ensembles instead of a single reference structure for their folded counterparts. Tau is a prominent member of the IDP family, which sees its cellular function regulated by multiple phosphorylation sites and whose hyperphosphorylation is involved in neurodegenerative diseases such as Alzheimer’s. We used coarse-grain MD simulations with the CALVADOS model to investigate the conformational landscape of tau without and with phosphorylations. Characterizing the local compactness of IDPs allows us to highlight how disorder comes in various flavors, as we can define different domains along the tau sequence. We define the IDP’s Statistical Tertiary Organization (STO) as the average spatial arrangements of domains, which constitute an extension of the tertiary structure of folded proteins. We also use IDP-specific metrics to characterize the local curvature and flexibility of tau. Comparing the local flexibilities with T2 relaxation times from NMR experiments, we show how this metric is related to the protein dynamics. A curvature and flexibility pattern in the repeat domains can also be connected to tau binding properties, without having to explicitly model the protein’s interaction partner. Finally, we rediscuss the original paperclip model that describes the spatial organization of tau and how phosphorylations impact it. The resulting changes in the protein intradomain and interdomain interaction pattern allow us to propose experimental setups to test our hypothesis.

pubs.acs.org

Excited to share Wendy Le Mouëllic’s PhD work, now published in @pnas.org! It reveals that M. tuberculosis depends on inorganic sulfate import to survive inside host cells—fueling essential processes such as redox balance and stress resistance. Huge congrats to Wendy & colleagues! shorturl.at/WbFQC

Inorganic sulfate is critical for Mycobacterium tuberculosis lung tissue colonization and redox balance | PNAS

Tuberculosis remains the deadliest infectious disease caused by a single pathogen, highlighting the urgent need for novel therapies. A deeper under...

pnas.org