Biology subjects

Gumbart, J. C.

Publications and source records attributed to Gumbart, J. C..

18 recordsLinked to original sources

bioRxiv2026

Independent tuning of outer membrane fluidity and mechanics in Gram-negative bacteria

The outer membrane (OM) of Gram-negative bacteria forms a protective barrier that combines selective permeability with mechanical load-bearing capacity, properties linked to its asymmetric bilayer structure with lipopolysaccharides (LPS) in the outer leaflet and phospholipids (PLs) in the inner leaflet. Unlike most PL bilayers, the OM typically exhibits limited lateral diffusion, resulting in a gel-like surface with spatially organized proteins and LPS. The molecular basis of this physical state and its relationship with envelope mechanics remain unclear. Here, we show that increasing PL levels in the outer leaflet or truncating LPS core oligosaccharides increases OM fluidity by disrupting LPS packing. In contrast, reduced LPS abundance or disruption of divalent cation-mediated crosslinking primarily reduces OM stiffness with little effect on fluidity. Thus, OM fluidity and mechanical stiffness can be tuned independently through distinct molecular interactions. This separation of physical control mechanisms provides a framework for understanding how Gram-negative bacteria modulate OM properties during environmental adaptation and envelope homeostasis.

microbiology↗

bioRxiv2026

SILCS-Guided Feature Encoding Expands Ligand Recognition at an HBV Core Protein Interface

Hepatitis B virus (HBV) infection depends on coordinated capsid assembly and virion production. A hydrophobic pocket at the intradimer interface of the HBV core protein has been linked to secretion phenotypes and shown to bind small molecules, but its interaction landscape remains poorly defined. Here, we combine atomistic molecular dynamics (MD) simulations, fragment mapping, pharmacophore modeling, and biophysical binding assays to characterize this pocket and identify ligands with binding modes that extend beyond the known pocket. This workflow narrowed an initial library of approximately 4.7 million compounds to eight candidates for experimental evaluation by saturation transfer difference (STD) NMR and surface plasmon resonance (SPR). Of these eight, compound B3 showed detectable STD NMR signals, concentration-dependent SPR binding, and an MD-supported binding mode that retained hydrophobic-pocket anchoring while also extending toward the spike-proximal loop. Together, these results illustrate how dynamic fragment mapping can identify ligand candidates that engage broader interaction landscapes at protein-interface pockets.

biophysics↗

bioRxiv2026

Benchmarking AI Protein Structure Predictors Reveals a Persistent Bias in Multi-State Proteins

Protein structure predictors achieve high single-state accuracy, but it remains unclear whether they can recover functionally relevant conformational ensembles or account for the presence of ligands and/or binding partners. Here, we benchmark AlphaFold3, Boltz-2, Chai-1, and BioEmu on four canonical multi-state proteins (Pf-MATE, LAO, SecA, and {beta}2AR), quantifying state bias and sampling breadth against experimental reference structures. Models frequently default to a dominant state represented in the PDB; small-molecule ligands have weak or inconsistent effects, while large protein partners drive clear conformational switching between states. Multiple sequence alignment (MSA)-based approaches (AF-Cluster and random subsampling) recapitulate similar biases, indicating that this behavior is not unique to newer architectures. These results underscore current limitations for multi-state protein structure prediction and structure-guided ligand discovery. TOC Graphic O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=111 SRC="FIGDIR/small/737860v1_ufig1.gif" ALT="Figure 1"> View larger version (12K): org.highwire.dtl.DTLVardef@278cc1org.highwire.dtl.DTLVardef@8a0b66org.highwire.dtl.DTLVardef@f28a21org.highwire.dtl.DTLVardef@14ab675_HPS_FORMAT_FIGEXP M_FIG C_FIG

biophysics↗

bioRxiv2026

SARS-CoV-2 membrane protein biogenesis

Viral protein biogenesis underpins every viral life cycle stage, and elucidating these processes could reveal fundamental principles of virus-host interaction, and vulnerabilities amenable to therapeutic targeting. Here we apply biophysical, molecular, and cell biology techniques to investigate the insertion, folding, and oligomerization of the SARS-CoV-2 M protein. We describe the sequential co-translational insertion of the hydrophobic core, and demonstrate that the cytosolic C-terminal domain undergoes slower adoption of its tertiary structure. Additionally, we characterize how the transmembrane domain bundle facilitates M-protein oligomerization. Our results reveal a hydrophobic residue cluster that is essential for protein folding and co-translational dimerization. Additionally, we identify the cellular machinery responsible for targeting and inserting the M protein into the ER membrane, and chaperones and cofactors that may contribute to proper folding.

molecular biology↗

bioRxiv2025

Structural modeling reveals the mechanism of motor ATPase coordination during type IV pilus retraction

Diverse bacterial species utilize surface appendages called type IV pili (T4P) to interact with their environment. These structures are dynamically extended and retracted from the cell surface, which is critical for diverse functions. Some T4P systems rely on two distinct motor ATPases, PilT and PilU, whose combined activities are required to power forceful T4P retraction. However, the mechanism by which these motors coordinate to facilitate T4P retraction has remained unclear. Here, we utilize the competence T4P in V. cholerae as a model system to elucidate the molecular basis for PilT-PilU coordination during T4P retraction. Specifically, we modeled the interactions between PilT and PilU using AlphaFold 3 and molecular dynamics (MD) simulations. We then empirically tested these models using a combination of cytological and high-resolution genetic approaches. Our results reveal that interactions between PilT and the PilU C-terminus are critical for these motors to coordinate to drive T4P retraction. Finally, we show that PilT-PilU interactions are broadly conserved in T4P systems from diverse bacterial species, and we experimentally validate that they are required for T4P retraction in Acinetobacter baylyi. Together, this work expands our fundamental understanding of T4P dynamics, and more broadly it provides mechanistic insight into how these ATPases coordinate to assemble some of the strongest biological motors in nature. SIGNIFICANCEDiverse bacterial species use filamentous surface appendages called type IV pili (T4P) to move along surfaces, take up DNA for horizontal gene transfer, and stick to biotic and abiotic surfaces. The forceful retraction of these filaments is often required for these behaviors. In many T4P systems, the combined activity of two distinct motor ATPase proteins is required for forceful retraction; however, a detailed understanding of how these motor proteins interact to promote forceful retraction is currently lacking. Here, we use an integrated approach to uncover the molecular mechanism for motor ATPase coordination. Furthermore, we show that this mechanism is broadly conserved in diverse T4P systems.

microbiology↗

bioRxiv2025

Integrative Structure and Function of the Vibrio cholerae Competence Pilus Machine

Type IV pili are hair-like, surface-exposed polymers involved in many fundamental biological processes. The competence pilus (CP) is responsible for natural transformation, the ability to acquire exogenous DNA. Here we purified the Vibrio cholerae CP and used electron cryo-microscopy (cryo-EM) to obtain a 3.3 [A] map of the fiber by helical reconstruction. We then used electron cryo-tomography (cryo-ET) to reveal the in-situ architecture of the competence pilus machine (CPM). Compared to other type IVa pilus machines, the CPM has unique characteristics including multiple conformational states, a ring-like density formed by PilQs C-terminal domain absent in the previously solved SPA structure, and the presence of a double ATPase ring in the cytoplasm. Using integrative modeling with the cryo-ET map as an envelope, we generated a full-length pseudoatomic model of the CPM. Molecular dynamics (MD) simulations of the entire CPM embedded within realistic bacterial membranes and the peptidoglycan cell wall revealed that the model demonstrates structural integrity under physiological conditions. Steered MD simulations of pilus extension and retraction through PilQ revealed gate-opening mechanisms and demonstrated the channels mechanical resistance and flexibility during translocation.

cell biology↗

bioRxiv2025

Weighted Ensemble Simulations Reveal Novel Conformations and Modulator Effects in Hepatitis B Virus Capsid Assembly

Molecular dynamics (MD) simulations provide a detailed description of biophysical processes allowing mechanistic questions to be addressed at the atomic level. The promise of such approaches is partly hampered by well known sampling issues of typical simulations, where time scales available are significantly shorter than the process of interest. For the system of interest here, the binding of modulators of Hepatitis B virus capsid self-assembly, the binding site is at a flexible protein-protein interface. Characterization of the conformational landscape and how it is altered upon ligand binding is thus a prerequisite for a complete mechanistic description of capsid assembly modulation. However, such a description can be difficult due to the aforementioned sampling issues of standard MD, and enhanced sampling strategies are required. Here we employ the Weighted Ensemble methodology to characterize the free-energy landscape of our earlier determined functionally relevant progress coordinates. It is shown that this approach provides conformations outside those sampled by standard MD, as well as an increased number of structures with correspondingly enlarged binding pockets conducive to ligand binding, illustrating the utility of Weighted Ensemble for computational drug development. TOC Graphic O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=74 SRC="FIGDIR/small/643452v1_ufig1.gif" ALT="Figure 1"> View larger version (22K): org.highwire.dtl.DTLVardef@a0d760org.highwire.dtl.DTLVardef@19bfdb2org.highwire.dtl.DTLVardef@2cbc33org.highwire.dtl.DTLVardef@f7d307_HPS_FORMAT_FIGEXP M_FIG C_FIG

biophysics↗

bioRxiv2025

DeepPath: Overcoming data scarcity for protein transition pathway prediction using physics-based deep learning

The structural dynamics of proteins play a crucial role in their function, yet most experimental and deep learning methods produce only static models. While molecular dynamics (MD) simulations provide atomistic insight into conformational transitions, they remain computationally prohibitive, particularly for large-scale motions. Here, we introduce DeepPath, a deep-learning-based framework that rapidly generates physically realistic transition pathways between known protein states. Unlike conventional supervised learning approaches, DeepPath employs active learning to iteratively refine its predictions, leveraging molecular mechanical force fields as an oracle to guide pathway generation. We validated DeepPath on three biologically relevant test cases: SHP2 activation, CdiB H1 secretion, and the BAM complex lateral gate opening. DeepPath accurately predicted the transition pathways for all test cases, reproducing key intermediate structures and transient interactions observed in previous studies. Notably, DeepPath also predicted an intermediate between the BAM inwardand outward-open states that closely aligns with an experimentally observed hybrid-barrel structure (TMscore = 0.91). Across all cases, DeepPath achieved accurate pathway predictions within hours, showcasing an efficient alternative to MD simulations for exploring protein conformational transitions.

biophysics↗

bioRxiv2025

Machine learning of molecular dynamics simulations provides insights into modulation of viral capsid assembly

An effective approach in the development of novel antivirals is to target the assembly of viral capsids using capsid assembly modulators (CAMs). CAMs targeting hepatitis B virus (HBV) have two major modes of function: they can either accelerate nucleocapsid assembly, retaining its structure, or misdirect it into non-capsid-like particles. Previous molecular dynamics (MD) simulations of early capsid-assembly intermediates showed differences in protein conformations for apo and bound states. Here, we have developed and tested several classification machine learning (ML) models to better distinguish between apo-tetramer intermediates and those bound to accelerating or misdirecting CAMs. Models based on tertiary structural properties of the Cp149 tetramers and their inter-dimer orientation, as well as models based on direct and inverse contact distances between protein residues, were tested. All models distinguished the apo states and the two CAM-bound states with high accuracy. Furthermore, tertiary structure models and residue-distance models highlighted different tetramer regions as important for classification. Both models can be used to better understand structural transitions that govern the assembly of nucleocapsids and to assist the development of more potent CAMs. Finally, we demonstrate the utility of classification ML methods in comparing MD trajectories and describe our ML approaches, which can be extended to other systems of interest. TOC Graphic O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=111 SRC="FIGDIR/small/637202v1_ufig1.gif" ALT="Figure 1"> View larger version (17K): org.highwire.dtl.DTLVardef@b2a910org.highwire.dtl.DTLVardef@1798a02org.highwire.dtl.DTLVardef@539b80org.highwire.dtl.DTLVardef@105f0aa_HPS_FORMAT_FIGEXP M_FIG C_FIG

biophysics↗

bioRxiv2024

The influence of downstream structured elements within mRNA on the dynamics of intersubunit rotation in ribosomes

Proper codon/anti-codon pairing within the ribosome necessitates linearity of the transcript. Any structures formed within a messenger RNA (mRNA) must be unwound before the respective codon is interpreted. Linearity, however, is not always the norm; some intricate structures within mRNA are able to exert unique ribosome/mRNA interactions to regulate translation. Intrinsic kinetic and thermal stability in many of these structures are efficient in slowing translation causing pausing of the ribosome. Altered translation kinetics arising from atypical interactions have been shown to affect intersubunit rotation. Here, we employ single-molecule Forster Resonance Energy Transfer (smFRET), to observe changes in intersubunit rotation of the ribosome as it approaches downstream structured nucleic acid. The emergence of the hyper-rotated state is critically dependent on the distance between downstream structure and the ribosome suggesting interactions with the helicase center are allosterically coupled to intersubunit rotation. Further, molecular dynamics (MD) simulations were performed to determine ribosomal protein/mRNA interactions that may play a pivotal role in helicase activity and ultimately unwinding of downstream structure.

biophysics↗

bioRxiv2024

Mg2+-dependent mechanism of environmental versatility in a multidrug efflux pump

Tripartite resistance nodulation and cell division multidrug efflux pumps span the periplasm and are a major driver of multidrug resistance among Gram-negative bacteria. The periplasm provides a distinct environment between the inner and outer membranes of Gram-negative bacteria. Cations, such as Mg2+, become concentrated within the periplasm and, in contrast to the cytoplasm, its pH is sensitive to conditions outside the cell. Here, we reveal an interplay between Mg2+ and pH in modulating the dynamics of the periplasmic adaptor protein, AcrA, and its function within the prototypical AcrAB-TolC multidrug efflux pump from Escherichia coli. In the absence of Mg2+, AcrA becomes increasingly plastic within acidic conditions, but when Mg2+ is bound this is ameliorated, resulting in domain specific organisation in neutral to weakly acidic regimes. We establish a unique histidine residue directs these structural dynamics and is essential for sustaining pump efflux activity across acidic, neutral, and alkaline conditions. Overall, we propose Mg2+ conserves the structural mobility of AcrA to ensure optimal AcrAB-TolC function within rapid changing environments commonly faced by the periplasm during bacterial infection and colonization. This work highlights that Mg2+ is an important mechanistic component in this pump class and possibly across other periplasmic lipoproteins.

biochemistry↗

bioRxiv2023

Enhanced surface accessibility of SARS-CoV-2 Omicron spike protein due to an altered glycosylation profile

SARS-CoV-2 spike (S) proteins undergo extensive glycosylation, aiding proper folding, enhancing stability, and evading host immune surveillance. In this study, we used mass spectrometric analysis to elucidate the N-glycosylation characteristics and disulfide bonding of recombinant spike proteins derived from the SARS-CoV-2 Omicron variant (B.1.1.529) in comparison with the D614G spike variant. Furthermore, we conducted microsecond-long molecular dynamics simulations on spike proteins to resolve how the different N-glycans impact spike conformational sampling in the two variants. Our findings reveal that the Omicron spike protein maintains an overall resemblance to the D614G spike variant in terms of site-specific glycan processing and disulfide bond formation. Nonetheless, alterations in glycans were observed at certain N-glycosylation sites. These changes, in synergy with mutations within the Omicron spike protein, result in increased surface accessibility of the macromolecule, including ectodomain, receptor-binding domain, and N-terminal domain. These insights contribute to our understanding of the interplay between structure and function, thereby advancing effective vaccination and therapeutic strategies. TeaserThrough mass spectrometry and molecular dynamics simulations, SARS-CoV-2 Omicron spike is found to be less covered by glycans when compared to the D614G spike variant.

molecular biology↗

bioRxiv2022

Conformational restriction shapes inhibition of a multidrug efflux adaptor protein

Membrane efflux pumps play a major role in bacterial multidrug resistance. The tripartite multidrug efflux pump system from Escherichia coli, AcrAB-TolC, is a target for inhibition to lessen resistance development and restore antibiotic efficacy, with homologs in other ESKAPE pathogens. Here, we rationalize a mechanism of inhibition against the periplasmic adaptor protein, AcrA, using a combination of hydrogen/deuterium exchange mass spectrometry, cellular efflux assays, and molecular dynamics simulations. We define the structural dynamics of AcrA and find that an inhibitor can inflict long-range stabilisation across all four of its domains, whereas an interacting efflux substrate has minimal effect. Our results support a model where an inhibitor forms a molecular wedge within a cleft between the lipoyl and {beta} domains of AcrA, diminishing its conformational transmission of drug-evoked signals from AcrB to TolC. This work provides molecular insights into multidrug adaptor protein function which could be valuable for developing antimicrobial therapeutics.

biochemistry↗

bioRxiv2021

Critical interactions for SARS-CoV-2 spike protein binding to ACE2 identified by machine learning

Both SARS-CoV and SARS-CoV-2 bind to the human ACE2 receptor. Based on high-resolution structures, the two viruses bind in practically identical conformations, although several residues of the receptor-binding domain (RBD) differ between them. Here we have used molecular dynamics (MD) simulations, machine learning (ML), and free energy perturbation (FEP) calculations to elucidate the differences in RBD binding by the two viruses. Although only subtle differences were observed from the initial MD simulations of the two RBD-ACE2 complexes, ML identified the individual residues with the most distinctive ACE2 interactions, many of which have been highlighted in previous experimental studies. FEP calculations quantified the corresponding differences in binding free energies to ACE2, and examination of MD trajectories provided structural explanations for these differences. Lastly, the energetics of emerging SARS-CoV-2 mutations were studied, showing that the affinity of the RBD for ACE2 is increased by N501Y and E484K mutations but is slightly decreased by K417N.

biophysics↗

bioRxiv2020

Inhibitor binding influences the protonation states of histidines in SARS-CoV-2 main protease

The main protease (Mpro) of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an attractive target for antiviral therapeutics. Recently, many high-resolution apo and inhibitor-bound structures of Mpro, a cysteine protease, have been determined, facilitating structure-based drug design. Mpro plays a central role in the viral life cycle by catalyzing the cleavage of SARS-CoV-2 polyproteins. In addition to the catalytic dyad His41-Cys145, Mpro contains multiple histidines including His163, His164, and His172. The protonation states of these histidines and the catalytic nu-cleophile Cys145 have been debated in previous studies of SARS-CoV Mpro, but have yet to be investigated for SARS-CoV-2. In this work we have used molecular dynamics simulations to determine the structural stability of SARS-CoV-2 Mpro as a function of the protonation assignments for these residues. We simulated both the apo and inhibitor-bound enzyme and found that the conformational stability of the binding site, bound inhibitors, and the hydrogen bond networks of Mpro are highly sensitive to these assignments. Additionally, the two inhibitors studied, the peptidomimetic N3 and an -ketoamide, display distinct His41/His164 protonation-state-dependent stabilities. While the apo and the N3-bound systems favored N{delta} (HD) and N{epsilon} (HE) protonation of His41 and His164, respectively, the -ketoamide was not stably bound in this state. Our results illustrate the importance of using appropriate histidine protonation states to accurately model the structure and dynamics of SARS-CoV-2 Mpro in both the apo and inhibitor-bound states, a necessary prerequisite for drug-design efforts.

biophysics↗

bioRxiv2020

Combinatorial phosphorylation modulates the structure and function of the G protein gamma subunit in yeast

Protein intrinsically disordered regions (IDRs) are often targets of combinatorial post-translational modifications (PTMs) that serve to regulate protein structure and/or function. Emerging evidence suggests that the N-terminal tails of G protein {gamma} subunits - essential components of heterotrimeric G protein complexes - are intrinsically disordered, highly phosphorylated governors of G protein signaling. Here, we demonstrate that the yeast G{gamma} Ste18 undergoes combinatorial, multi-site phosphorylation within its N-terminal IDR. Phosphorylation at S7 is responsive to GPCR activation and osmotic stress while phosphorylation at S3 is responsive to glucose stress and is a quantitative indicator of intracellular pH. Each site is phosphorylated by a distinct set of kinases and both are also interactive, such that phosphomimicry at one site affects phosphorylation on the other. Lastly, we show that phosphorylation produces subtle yet clear changes in IDR structure and that different combinations of phosphorylation modulate the activation rate and amplitude of the scaffolded MAPK Fus3. These data place G{gamma} subunits among the growing list of intrinsically disordered proteins that exploit combinatorial post-translational modification to govern signaling pathway output.

molecular biology↗

bioRxiv2020

Mechanism of action of HBV capsid assembly modulators predicted from binding to early assembly intermediates

Interfering with the self-assembly of virus nucleocapsids is a promising approach for the development of novel antiviral agents. Applied to hepatitis B virus (HBV), this approach has led to several classes of capsid assembly modulators (CAMs) that target the virus by either accelerating nucleocapsid assembly or misdirecting it into non-capsid-like particles. Here, we have assessed the structures of early nucleocapsid assembly intermediates, with and without bound CAMs, using molecular dynamics simulations. We find that distinct conformations of the intermediates are induced depending on whether the bound CAM accelerates or misdirects assembly; these structures are predictive of the final assembly. We also selected non-capsid-like structures from our simulations for virtual screening, resulting in the discovery of several compounds with moderate anti-viral activity and low toxicity. Cryo-electron microscopy and capsid melting experiments suggest that our compounds possess a novel mechanism for assembly modulation, potentially opening new avenues for HBV inhibition.

molecular biology↗

bioRxiv2017

Structure and misfolding of the flexible tripartite coiled coil domain of glaucoma-associated myocilin

Glaucoma-associated myocilin is a member of the olfactomedins, a protein family broadly involved in neuronal development and human disease. Molecular studies of the myocilin N-terminal coiled coil demonstrate a unique tripartite architecture: a disulfide-linked, parallel dimer-of-dimers Y-shaped molecule, with distinct tetramer and dimer regions. The structure of the C-terminal 7-heptad dimer elucidates an unexpected repeat pattern involving electrostatic inter-strand stabilization. Molecular dynamics simulations reveal an alternate conformation in which the terminal inter-strand disulfide bond limits the extent of unfolding and results in a kinked configuration. Taken together, full-length myocilin is also branched, with two pairs of C-terminal olfactomedin domains. Selected variants within the N-terminal region alter the apparent quaternary structure of myocilin but do so without compromising stability or causing aggregation. In addition to increasing our structural knowledge of extracellular coiled coils for protein design and biomedically important olfactomedins, this work broadens the scope of protein misfolding in the pathogenesis of myocilin-associated glaucoma.\n\nHighlightsO_LIGlaucoma-causing extracellular protein associated with amyloid forming propensity\nC_LIO_LIStructural studies confirm tripartite parallel dimer-of-dimers coiled coil\nC_LIO_LILeucine zipper exhibits non-canonical heptad repeat pattern with disulfide cap\nC_LIO_LIGlaucoma-associated variants in tetramer alter structure but not stability\nC_LI\n\neTOC blurbHill et al describe the structure of the coiled-coil region of myocilin, the extracellular olfactomedin family member closely associated with the ocular disorder glaucoma. Myocilins coiled coil adopts a unique Y-shaped parallel dimer-of-timers employing an unusual heptad repeat pattern. Selected disease variants alter quaternary structure.

biochemistry↗