SMSneha Menon

Sneha Menon

*This is an algorithmically generated author record based on publicly available information.

Current Organizations / Institutes

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Previous Organizations / Institutes

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Sneha Menon has a total of 18 co-authors. Here are the top co-authors by number of shared publications:


Latest Publications

  • Crowder-Induced Conformational Fluctuations Modulate the Phase Separation of the Yeast Sup35NM Domain

    by Sumangal Roychowdhury, Sneha Menon, Narattam Mandal, Subhabrata Majumder, Jagannath Mondal, Krishnananda Chattopadhyay

    Intrinsically disordered regions (IDRs) from larger proteins are known to undergo liquid-liquid phase separation (LLPS) to form biomolecular condensates. This process is influenced by the conformational flexibility of the protein and the crowded intracellular environment. Although several studies exist involving crowding agents to induce LLPS, the molecular understanding of crowding in phase separation has not been explored well. Herein, we investigate how molecular crowding, specifically the size and shape of crowders like Dextran and Ficoll, modulates the conformational states and phase separation behavior of Sup35NM, a disordered region of the yeast prion protein, Sup35. Using fluorescence correlation spectroscopy (FCS) and molecular dynamics simulations, we show that Dextran, depending on its molecular weight, induces both compaction and expansion of Sup35NM, driving phase separation beyond a particular threshold. Notably, flexible rod-like Dextran crowders promotes phase separation, while spherical Ficoll does not, highlighting the impact of crowder geometry on IDP behavior. Molecular simulation further revealed that the crowder shape influences Sup35NM's conformational ensemble by modulating intra- and inter-domain interactions. These findings elucidate the role of crowding agents in IDP phase behavior, suggesting that cellular crowding may regulate IDP functionality through conformational control.


  • A novel model for proton transport mediated by uncoupling protein 1

    by Luise Jacobsen, Sneha Menon, Michael James Gaudry, Ali Asghar Hakami Zanjani, Peter Reinholdt, Martin Jastroch, Himanshu Khandelia

    Uncoupling Protein 1 (UCP1) is a mitochondrial protein which drives thermogenesis in brown adipose tissue. UCP1 facilitates the dissipation of the proton gradient as heat and plays a critical role in energy expenditure and metabolic regulation. We employ advanced molecular simulations and mutagenesis to reveal the mechanism of UCP1‐mediated proton and fatty acid (FA) transport. We demonstrate that FAs bind spontaneously to UCP1's central substrate‐binding site. In the binding site, a proton transfer to the FA is facilitated by a key aspartate residue (D28) and a coordinating water molecule. The protonated FA exits UCP1 through a well‐defined pathway, and releases its proton into the mitochondrial matrix. UCP1 then facilitates the return of deprotonated FAs to the intermembrane space. Nucleotide binding disrupts this mechanism by inducing conformational changes in the transmembrane helices and obstructing the FA return pathway. Our mechanism explains every step of the transport cycle, is supported by simulation and biochemical data, and explains a diverse set of biochemical data about the transport mechanisms in UCP1 and its analogues: ANT, UCP2, and UCP3.


  • Open Access

    An integrated machine learning approach delineates an entropic expansion mechanism for the binding of a small molecule to α-synuclein

    by Sneha Menon, Subinoy Adhikari, Jagannath Mondal

    The mis-folding and aggregation of intrinsically disordered proteins (IDPs) such as α-synuclein (αS) underlie the pathogenesis of various neurodegenerative disorders. However, targeting αS with small molecules faces challenges due to the lack of defined ligand-binding pockets in its disordered structure. Here, we implement a deep artificial neural network-based machine learning approach, which is able to statistically distinguish the fuzzy ensemble of conformational substates of αS in neat water from those in aqueous fasudil (small molecule of interest) solution. In particular, the presence of fasudil in the solvent either modulates pre-existing states of αS or gives rise to new conformational states of αS, akin to an ensemble-expansion mechanism. The ensembles display strong conformation-dependence in residue-wise interaction with the small molecule. A thermodynamic analysis indicates that small-molecule modulates the structural repertoire of αS by tuning protein backbone entropy, however entropy of the water remains unperturbed. Together, this study sheds light on the intricate interplay between small molecules and IDPs, offering insights into entropic modulation and ensemble expansion as key biophysical mechanisms driving potential therapeutics.


  • Dynamical Manifestations of Supercooling in Amyloid Hydration

    by Priti Roy, Sneha Menon, Neelanjana Sengupta

    The effect of extreme temperature on amyloidogenic species remains sparsely explored. In a recent study (J. Phys. Chem. Lett., 2019, 10, (10)), we employed exhaustive molecular dynamics simulations to explore the cold thermal response of a putative small amyloid oligomer and to elicit the role of solvent modulation. Herein, we investigate the dynamical response of the hydration waters of the oligomer within the supercooled states. Using NMR-based formalism, we delineate the entropic response in terms of the side-chain conformational entropy that corroborates the weakening of the hydrophobic core with lowering of temperature. The translational dynamics of the protein and hydration waters reveal the coupling of protein dynamical fluctuations with solvent dynamics under supercooled conditions. Probing the translational motion as a space–time correlation indicates glassy dynamics exhibited by hydration waters in the supercooled regime. Caging of the water molecules with lowering of temperature and the resultant hopping dynamics are reflected in the longer β-relaxation timescales of translational motion. Furthermore, we utilized mode-coupling theory (MCT) and derived the ideal glass transition temperature from translational and rotational dynamics, around ∼196 and 209 K, respectively. Interestingly, rotational motion in the supercooled regime deviates from the MCT law, exhibits Arrhenius motion, and marks a fragile-to-strong crossover at 227 K. The low-frequency vibrational modes also coincide with the dynamical transition. This exposition lends dynamical insights into the hydration coupling of an amyloid aggregate under cryogenic conditions.


  • Nanoscale Interplay of Membrane Composition and Amyloid Self-Assembly

    by Sneha Menon, Neelanjana Sengupta, Payel Das

    Cell membranes are complex assemblies of lipids and proteins exhibiting lipid compositional heterogeneity between the inner and outer leaflets of the bilayer. Aberrant protein aggregation, implicated in a number of neurodegenerative diseases including Alzheimer’s, is known to result in both extracellular and intracellular deposits with divergent pathophysiological effects. Mounting evidence substantiates membrane-mediated amyloid effects and indicates membrane composition, particularly gangliosides, as a plausible factor influencing the fibrillation process. By employing exhaustive molecular dynamics simulations using a coarse-grained model, we probed the assembly behavior of amyloidogenic Aβ(12–28) peptides on the chemically heterogeneous extracellular (outer) and cytosolic (inner) leaflets of a mammalian plasma membrane. Our results indicate that the compositional nature of the membrane has a crucial impact on the peptide self-assembly. Peptide oligomerization is hindered on the outer leaflet relative to the inner leaflet due to a competition between interpeptide and peptide–membrane interactions, resulting in higher population of smaller oligomers. The weaker associations among peptides on the outer membrane can be attributed to the favorable interactions of the peptides with gangliosides (GM) that characterize the extracellular membrane. At a higher peptide:GM ratio, we observe enhanced nanoclustering of GM lipids mediated by preferential GM–Aβ binding. Interaction between peptide and GM further impacts local membrane curvature; there is a concomitant loss in membrane concavity due to looser GM packing. Our simulations provide molecular insights into the role of membrane composition on Aβ aggregation and lend credence to earlier reports of ganglioside-mediated Aβ aggregation in the outer membrane. We also demonstrate the effects of local peptide assemblies on the membrane structure and dynamics.


  • The Cold Thermal Response of an Amyloid Oligomer Differs from Typical Globular Protein Cold Denaturation

    by Sneha Menon, Neelanjana Sengupta

    In contrast with the general behavior of folded proteins, cold thermal response of amyloid assemblies is difficult to elicit with simple models. We exploit exhaustive simulations to evaluate the thermal response of a barrel-shaped model amyloid oligomer, with a distinct hydrophobic core akin to that of folded proteins. Cumulative thermal data over 210 to 483 K indicate a sharp inflexion and rise in structural stability as the temperature is lowered below the melting temperature of the water model. This is not commensurate with the equilibrium free energy profile obtained with core packing as the order parameter. However, energetic analyses and size of their fluctuations indicate crucial role of hydration in mediating structural transitions, beyond the expected temperature-dependent hydrophobic effect. Structural ordering of the hydration layer over bulk water maximizes at the transition and vanishes at high temperatures. This is a first direct demonstration of the microscopic influence of hydration water on the low temperature response of an amyloid assembly close to the cryo-regime.


  • Open Access

    Influence of Hyperglycemic Conditions on Self-Association of the Alzheimer’s Amyloid β (Aβ1–42) Peptide

    by Sneha Menon, Neelanjana Sengupta

    Clinical studies have identified a correlation between type-2 diabetes mellitus and cognitive decrements en route to the onset of Alzheimer’s disease (AD). Recent studies have established that post-translational modifications of the amyloid β (Aβ) peptide occur under hyperglycemic conditions; particularly, the process of glycation exacerbates its neurotoxicity and accelerates AD progression. In view of the assertion that macromolecular crowding has an altering effect on protein self-assembly, it is crucial to characterize the effects of hyperglycemic conditions via crowding on Aβ self-assembly. Toward this purpose, fully atomistic molecular dynamics simulations were performed to study the effects of glucose crowding on Aβ dimerization, which is the smallest known neurotoxic species. The dimers formed in the glucose-crowded environment were found to have weaker associations as compared to that of those formed in water. Binding free energy calculations show that the reduced binding strength of the dimers can be mainly attributed to the overall weakening of the dispersion interactions correlated with substantial loss of interpeptide contacts in the hydrophobic patches of the Aβ units. Analysis to discern the differential solvation pattern in the glucose-crowded and pure water systems revealed that glucose molecules cluster around the protein, at a distance of 5–7 Å, which traps the water molecules in close association with the protein surface. This preferential exclusion of glucose molecules and resulting hydration of the Aβ peptides has a screening effect on the hydrophobic interactions, which in turn diminishes the binding strength of the resulting dimers. Our results imply that physical effects attributed to crowded hyperglycemic environments are incapable of solely promoting Aβ self-assembly, indicating that further mechanistic studies are required to provide insights into the self-assembly of post-translationally modified Aβ peptides, known to possess aggravated toxicity, under these conditions.


  • Perturbations in inter-domain associations may trigger the onset of pathogenic transformations in PrPC: insights from atomistic simulations

    by Sneha Menon, Neelanjana Sengupta

    Conversion of the predominantly α-helical cellular prion protein (PrPC) to the misfolded β-sheet enriched Scrapie form (PrPSc) is a critical event in prion pathogenesis. However, the conformational triggers that lead to the isoform conversion (PrPC to PrPSc) remain obscure, and conjectures about the role of unusually hydrophilic, short helix H1 of the C-terminal globular domain in the transition are varied. Helix H1 is anchored to helix H3 via a few stabilizing polar interactions. We have employed fully atomistic molecular dynamics simulations to study the effects triggered by a minor perturbation in the network of these non-bonded interactions in PrPC. The elimination of just one of the key H1–H3 hydrogen bonds led to a cascade of conformational changes that are consistent with those observed in partially unfolded intermediates of PrPC, with pathogenic mutations and in low pH environments. Our analyses reveal that the perturbation results in the enhanced conformational flexibility of the protein. The resultant enhancement in the dynamics leads to overall increased solvent exposure of the hydrophobic core residues and concomitant disruption of the H1–H3 inter-domain salt bridge network. This study lends credence to the hypothesis that perturbing the cooperativity of the stabilizing interactions in the PrPC globular domain can critically affect its dynamics and may lead to structural transitions of pathological relevance.