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de Groot, B. L.

Publications and source records attributed to de Groot, B. L..

15 recordsLinked to original sources
bioRxiv2026

Down- to up-state transition is the default pathway in TREK K2P channel activation and does not involve a lipid occluded pore

Two crystallographic states of mechanosensitive TREK/TRAAK K2P channels - a low-activity down-state and a high-activity up-state - have been proposed to underlie gating, but the origin of the low activity remains debated. Competing models suggest either lipid-mediated pore block or selectivity filter (SF) inactivation. Using systematic mutagenesis of M2/M4 helices, we identified 16 highly active mutants and assessed their activation mechanisms via free-energy calculations, molecular dynamics simulations, and a state-dependent pharmacological probe. The computational approaches reliably predicted mutation-induced shifts in the down-up equilibrium. We further show that intracellular acidification and regulatory lipids primarily stabilize the up-state, consistent with stretch, temperature, and dephosphorylation. These findings support the down-up transition as the principal physiological activation pathway and suggest that mechanosensitivity arises from the larger membrane footprint of the up-state. Our data argue against a physiological role of a lipid-blocked pore and instead support gating via conformational control of the SF in TREK/TRAAK channels.

physiology↗
bioRxiv2026

Hydrophobic and lipid-mediated gating mechanism revealed by low-conductance MthK mutants

Large-conductance calcium (Ca2+)-activated potassium (K+) channels are involved in several essential cellular processes. This requires the ability to alternate between conductive and non-conductive states, yet the molecular mechanism of their gating remains incompletely understood. Bundle-crossing, selectivity filter, and hydrophobic gating are some of the mechanisms previously proposed for these channels, including the archaeal Ca2+-activated K+ channel MthK. Here, we took advantage of two MthK mutants that show dramatically-reduced conductance to gain insights into how the channels gate at the molecular level by combining cryo-electron microscopy, functional assays, and extensive molecular dynamics simulations. Functional and computational analyses reveal distinct mechanisms of reduced conductance between the two mutants. One mutant, where a glutamate residing at the intracellular mouth of the pore was replaced by an alanine (E92A) reduced ion density in the cavity and dramatically accelerated spontaneous channel closure. The second mutant, where an alanine residing in the channels aqueous cavity below the selectivity filter was replaced by a phenylalanine (A88F), introduced a hydrophobic constriction that partially dehydrates the cavity, imposing a barrier to ion permeation. The cryo-EM structures of these mutants, virtually identical to those of WT MthK, were used as models to investigate gating using molecular dynamics (MD) simulations. Long-timescale simulations captured complete open-to-closed transitions in both mutants, uncovering a dehydrated intermediate state and a tightly coupled lipid-entry mechanism that drove final pore closure. Our results show that hydrophobicity and lipid interactions are central determinants of MthK gating.

biophysics↗
bioRxiv2025

Atomistic Mechanism of Calcium-Mediated Inward Rectification of the MthK Potassium Channel by Solid-State NMR and MD Simulations

Inward rectification is a fundamental but poorly understood phenomenon in potassium channel physiology. Despite its physiological importance, the exact mechanism has remained elusive. In this work, we uncover a previously unrecognized calcium-mediated gating mechanism in the MthK potassium channel that sheds new light on this essential process. By combining state-of-the-art proton-detected solid-state NMR spectroscopy with atomistic molecular dynamics simulations, we reveal that divalent calcium ions bind to a novel site just below the selectivity filter, physically obstructing the outward flow of potassium ions whereas inward flow is still possible - analogous to a molecular ball check valve. Secondly, the binding of Ca2+ to the newly identified site leads to stabilization of the selectivity filter and allows us to directly observe ion-ion interactions in the filter. These results offer direct experimental support for the long-debated "direct knock-on" mechanism, in which potassium ions move through the filter, without water co-transport.

biophysics↗
bioRxiv2025

The clinical drug candidate anle138b binds predominantly to the central cavity in lipidic Aβ fibrils and modulates fibril formation.

Alzheimers disease is a specific neurodegenerative disorder, distinct from normal aging, with a growing unmet medical need. It is characterized by the accumulation of amyloid plaques in the brain, primarily consisting of amyloid beta (A{beta}) fibrils. Therapeutic antibodies can slow down the disease, but are associated with potential severe side effects, motivating the development of small molecules to halt disease progression. This study investigates the interaction between the clinical drug candidate small molecule anle138b and lipidic A{beta}40 fibrils of type 1 (L1). L1 fibrils were previously shown to closely resemble fibrils from Alzheimers patients18. Using high-resolution structural biology techniques, including cryo-electron microscopy (cryo-EM), nuclear magnetic resonance (NMR) spectroscopy enhanced by dynamic nuclear polarization (DNP), and molecular dynamics (MD) simulations, we find that anle138b selectively binds to a cavity within the fibril. This structural insight provides a deeper understanding of a potential drug-binding mechanism at the atomic level and may inform the development of novel therapies and diagnostic approaches. In addition, anle138b reduces fibril formation in the presence of lipids by approximately 75%. This may suggest a mechanistic connection to its previously reported activity in animal models of Alzheimers disease15.

biochemistry↗
bioRxiv2025

Lipid gating of BK channels and mechanism of activation by negatively charged lipids

BK channels are a class of K+ channels that possess an unusually high conductance and are synergistically gated by intracellular Ca2+ and voltage. Despite the significant array of experimental and computational data, many aspects of their function and dynamics remain unclear - such as how ion permeation is halted in the closed state of the channel. Available CryoEM structures obtained in deactivating conditions capture the channel with a wide, unobstructed pore, in contrast to e.g. a helix bundle crossing observed in some K+ channels. Several hypotheses of BK closure were proposed, including selectivity filter and hydrophobic gating. In this work, we expand on the model of hydrophobic gating and focus on the role of lipids. Using atomistic molecular dynamics simulations with applied voltage, we directly investigate the ability of the full length BK channel in various CryoEM states to permeate ions, and propose lipid entrance into the pore - either with lipid tails or entire lipid molecules - through the membrane-facing fenestrations to be a critical determinant of BK conductivity. Furthermore, we elucidate the mechanism of BK activation by negatively charged lipids via a combination of atomistic & coarse-grained simulations, and suggest that they act by a multi-modal mechanism, which encompasses lipid entry reduction, increase of the K+ occupancy of the pore, and stabilization of the channels open-state structure - in broad agreement with experimental data.

biophysics↗
bioRxiv2024

Prospective evaluation of structure-based simulations reveal their ability to predict the impact of kinase mutations on inhibitor binding

Small molecule kinase inhibitors are critical in the modern treatment of cancers, evidenced by the existence of over 80 FDA-approved small-molecule kinase inhibitors. Unfortunately, intrinsic or acquired resistance, often causing therapy discontinuation, is frequently caused by mutations in the kinase therapeutic target. The advent of clinical tumor sequencing has opened additional opportunities for precision oncology to improve patient outcomes by pairing optimal therapies with tumor mutation profiles. However, modern precision oncology efforts are hindered by lack of sufficient biochemical or clinical evidence to classify each mutation as resistant or sensitive to existing inhibitors. Structure-based methods show promising accuracy in retrospective benchmarks at predicting whether a kinase mutation will perturb inhibitor binding, but comparisons are made by pooling disparate experimental measurements across different conditions. We present the first prospective benchmark of structure-based approaches on a blinded dataset of in-cell kinase inhibitor affinities to Abl kinase mutants using a NanoBRET reporter assay. We compare NanoBRET results to structure-based methods and their ability to estimate the impact of mutations on inhibitor binding (measured as {Delta}{Delta}G). Comparing physics-based simulations, Rosetta, and previous machine learning models, we find that structure-based methods accurately classify kinase mutations as inhibitor-resistant or inhibitor-sensitizing, and each approach has a similar degree of accuracy. We show that physics-based simulations are best suited to estimate {Delta}{Delta}G of mutations that are distal to the kinase active site. To probe modes of failure, we retrospectively investigate two clinically significant mutations poorly predicted by our methods, T315A and L298F, and find that starting configurations and protonation states significantly alter the accuracy of our predictions. Our experimental and computational measurements provide a benchmark for estimating the impact of mutations on inhibitor binding affinity for future methods and structure-based models. These structure-based methods have potential utility in identifying optimal therapies for tumor-specific mutations, predicting resistance mutations in the absence of clinical data, and identifying potential sensitizing mutations to established inhibitors.

biophysics↗
bioRxiv2024

Effect Of Two Activators On The Gating Of A K2P Channel

TREK1, a two-pore-domain (2P) mammalian potassium (K+) channel, regulates the resting potential across cell membranes, presenting a promising therapeutic target for neuropathy treatment. The gating of this channel converges in the conformation of the narrowest part of the pore: the selectivity filter (SF). Various hypotheses explain TREK1 gating modulation, including the dynamics of loops connecting the SF with transmembrane helices and the stability of hydrogen bond (HB) networks adjacent to the SF. Recently, two small molecules (Q6F and Q5F) were reported as activators to affect TREK1 by increasing its open probability in single-channel current measurements. Here, using molecular dynamics (MD) simulations, we investigate the effect of these ligands on the previously proposed modulation mechanisms of TREK1 gating compared to the apo channel. Our findings reveal that loop dynamics at the upper region of the SF exhibit only a weak correlation with permeation/ non-permeation events, whereas the HB network behind the SF appears more correlated. These non-permeation events arise from both distinct mechanisms: A C-type inactivation (resulting from dilation at the top of the SF), which has been described previously; and a carbonyl flipping in a SF binding site. We find that, besides the prevention of C-type inactivation in the channel, the ligands increase the probability of permeation by modulating the dynamics of the carbonyl flipping, influenced by a threonine residue at the bottom of the SF. These results offer insights for rational ligand design to optimize the gating modulation of TREK1 and related K+ channels.

biophysics↗
bioRxiv2023

Selectivity filter mutations shift ion permeation mechanism in potassium channels

Potassium (K+) channels combine high conductance with high ion selectivity. To explain this efficiency, two molecular mechanisms have been proposed. The direct knock-on mechanism is defined by water-free K+ permeation and formation of direct ion-ion contacts in the highly conserved selectivity filter (SF). The soft knock-on mechanism involves co-permeation of water and separation of K+ by water molecules. With the aim to distinguish between these mechanisms, crystal structures of the KcsA channel with mutations in two SF residues - G77 and T75 - were published, where the arrangements of K+ ions and water display canonical soft knock-on configurations. These data were interpreted as evidence of the soft knock-on mechanism in wild-type channels (C. Tilegenova, et al., Structure, function, and ion-binding properties of a K+ channel stabilized in the 2,4-ion-bound configuration. Proceedings of the National Academy of Sciences 116, 16829-16834 (2019)). Here, we test this interpretation using molecular dynamics simulations of KcsA and its mutants. We show that, while a strictly water-free direct knock-on permeation is observed in the wild-type, conformational changes induced by these mutations lead to distinct ion permeation mechanisms, characterized by co-permeation of K+ and water. These mechanisms are characterized by reduced conductance and impaired potassium selectivity, supporting the importance of full dehydration of potassium ions for the hallmark high conductance and selectivity of K+ channels. In general, we present a case where mutations introduced at the critical points of the permeation pathway in an ion channel drastically change its permeation mechanism in a non-intuitive manner. Significance statementPotassium (K+) channels conduct K+ with high permeation rates and ion selectivity. An ongoing debate in the field has been focused on the molecular mechanisms underlying this remarkable efficiency. Here, we performed molecular dynamics simulations of two selectivity filter mutants of a model K+ channel to investigate this question. These mutations led to a substantial decrease in conductance and ion selectivity, while accompanied by a shift from water-free K+ permeation to co-permeation of water and K+. Our findings not only provide a fundamental example of how single point mutations in the selectivity filter can alter the ion permeation mechanism, but also reinforce the notion that water exclusion underlies the remarkable efficiency of K+ channels.

biophysics↗
bioRxiv2022

Driving Forces underlying Selectivity Filter Gating in the MthK Potassium Channel

K+ channel activity can be limited by C-type inactivation, which is likely initiated in part by dissociation of K+ ions from the selectivity filter, and modulated by side chains surrounding the selectivity filter. Whereas crystallographic and computational studies have linked inactivation to a collapsed selectivity filter conformation in the KcsA channel, the structural basis for selectivity filter gating in other K+ channels has been less clear. Here, we combined electrophysiological recordings with molecular dynamics based, in silico electrophysiology simulations, to study selectivity filter gating in the model potassium channel MthK and its V55E mutant (analogous to KcsA E71) in the pore-helix. Experimentally, we find that MthK V55E has a lower open probability than the WT channel, due to decreased stability of the open state, as well as a lower unitary conductance. Simulations account for both aspects of these observations on the atomistic scale, showing that ion permeation in V55E is altered by two distinct orientations of the E55 side chain. In the vertical orientation of E55, in which E55 forms a hydrogen bond with D64 (as observed with KcsA WT channels), the filter displays reduced conductance compared to MthK WT. In contrast, with horizontal orientation, K+ conductance is closer to MthK WT; however the selectivity filter stability in the conducting conformation is lowered, and the filter more readily transitions to the inactivated conformation. Surprisingly, these transitions of MthK WT and V55E channels to the non-conducting (inactivated) state observed in simulations are associated with a widening selectivity filter, unlike its narrowing seen in KcsA, and reminisce the recent structures of stably-inactivated, voltage-gated potassium channels: Shaker W434F and Kv1.2 W362F mutants, as well as WT Kv1.3 channels.

biophysics↗
bioRxiv2022

The 3D structure of lipidic fibrils of α-synuclein

-synuclein (Syn) is abundant in neurons, but its misfolding and abnormal fibrillization are associated with severe neurodegenerative diseases. Although interactions between Syn and phospholipid membranes are relevant during Syn fibril assembly, insights into the interactions of Syn fibrils with phospholipids have remained elusive. Here, we present six novel polymorphic atomic structures of Syn fibrils aggregated in the presence of phospholipids. The structures reveal that phospholipids favor a novel protofilament fold, mediate an unusual arrangement of protofilaments, and fill the central cavities between the protofilaments. These findings provide a structural rationale for fibril-induced lipid extraction, a mechanism likely to be involved in the development of -synucleinopathies.

molecular biology↗
bioRxiv2020

Computational Studies of Substrate Transport and Specificity in a Phospholipid Flippase

Type 4 P-type ATPases are lipid flippases which help maintain asymmetric phospholipid distribution in eukaryotic membranes by driving unidirectional translocation of phospholipid substrates. Recent cryo-EM and crystal structures have provided a detailed view of flippases, and we here use molecular dynamics simulations to study the first steps of phospholipid transport and lipid substrate specificity. Our simulations and new cryo-EM structure shows phospholipid binding to a groove and subsequent movement towards the centre of the membrane, and reveal a preference for phosphatidylserine lipids. We find that only the lipid head group stays in the groove while the lipid tails remain in the membrane, thus visualizing how flippases have evolved to transport large substrates. The flippase also induces deformation and thinning of the outer leaflet facilitating lipid recruitment. Our simulations provide insight into substrate binding to flippases and suggest that multiple sites and steps in the functional cycle contribute to substrate selectivity.

biophysics↗
bioRxiv2019

Comment on ‘Response to comment on ‘Valid molecular dynamics simulations of human hemoglobin require a surprisingly large box size’’

We recently expressed three major concerns about a 2018 article of El Hage et al. about a claimed effect of the box size in molecular dynamics simulations of hemoglobin. In the response of the authors to our comment, none of these concerns have been addressed, yet the authors maintain their original conclusions. Here, we challenge those conclusions and provide additional data that reestablish our original concerns. In addition, we identified six additional flaws in the response from El Hage et al. as well as a number of technical concerns about the presented simulations and analyses. Taken together, we conclude that there is no basis to support the hypothesis of significant box size effects in MD simulations for the studied systems in the examined range.

biophysics↗
bioRxiv2019

The SAMPL6 SAMPLing challenge: Assessing the reliability and efficiency of binding free energy calculations

Approaches for computing small molecule binding free energies based on molecular simulations are now regularly being employed by academic and industry practitioners to study receptor-ligand systems and prioritize the synthesis of small molecules for ligand design. Given the variety of methods and implementations available, it is natural to ask how the convergence rates and final predictions of these methods compare. In this study, we describe the concept and results for the SAMPL6 SAMPLing challenge, the first challenge from the SAMPL series focusing on the assessment of convergence properties and reproducibility of binding free energy methodologies. We provided parameter files, partial charges, and multiple initial geometries for two octa-acid (OA) and one cucurbit[8]uril (CB8) host-guest systems. Participants submitted binding free energy predictions as a function of the number of force and energy evaluations for seven different alchemical and physical-pathway (i.e., potential of mean force and weighted ensemble of trajectories) methodologies implemented with the GROMACS, AMBER, NAMD, or OpenMM simulation engines. To rank the methods, we developed an efficiency statistic based on bias and variance of the free energy estimates. For the two small OA binders, the free energy estimates computed with alchemical and potential of mean force approaches show relatively similar variance and bias as a function of the number of energy/force evaluations, with the attach-pull-release (APR), GROMACS expanded ensemble, and NAMD double decoupling submissions obtaining the greatest efficiency. The differences between the methods increase when analyzing the CB8-quinine system, where both the guest size and correlation times for system dynamics are greater. For this system, nonequilibrium switching (GROMACS/NS-DS/SB) obtained the overall highest efficiency. Surprisingly, the results suggest that specifying force field parameters and partial charges is insufficient to generally ensure reproducibility, and we observe differences between seemingly converged predictions ranging approximately from 0.3 to 1.0 kcal/mol, even with almost identical simulations parameters and system setup (e.g., Lennard-Jones cutoff, ionic composition). Further work will be required to completely identify the exact source of these discrepancies. Among the conclusions emerging from the data, we found that Hamiltonian replica exchange--while displaying very small variance--can be affected by a slowly-decaying bias that depends on the initial population of the replicas, that bidirectional estimators are significantly more efficient than unidirectional estimators for nonequilibrium free energy calculations for systems considered, and that the Berendsen barostat introduces non-negligible artifacts in expanded ensemble simulations.

biophysics↗
bioRxiv2019

Comment on 'Valid molecular dynamics simulations of human hemoglobin require a surprisingly large box size'

A recent molecular dynamics investigation into the stability of hemoglobin concluded that the unliganded protein is only stable in the T state when a solvent box is used in the simulations that is ten times larger than what is usually employed. Here, we express three main concerns about that study. In addition, we show that with an order of magnitude more statistics, the reported box size dependence is not reproducible. Overall, no significant effects on the kinetics or thermodynamics of conformational transitions were observed.

biophysics↗