Biology subjects

Ivanovic, M. T.

Publications and source records attributed to Ivanovic, M. T..

7 recordsLinked to original sources

bioRxiv2026

Predictive all-atom simulations of disordered proteins and biomolecular condensates through osmometry-guided force-field optimization

All-atom simulations with explicit solvent can provide a detailed and accurate description of dynamics and mechanisms in biomolecular systems, including intrinsically disordered proteins (IDPs) and their condensates. However, interactions involving charged residues and ions remain a persistent source of systematic error. Here we introduce an osmometry-guided optimization strategy that directly targets residue-residue, residue-ion and ion-ion interactions. Osmotic pressure provides key experimental information on molecular interactions and can be calculated directly and rapidly from simulations, enabling iterative force-field optimization. The resulting parameters improve agreement with single-molecule FRET data for IDPs, NMR relaxation data for an IDP-folded-domain complex, and chain dynamics and dimensions in biomolecular condensates of charged IDPs. For such condensates, simulations with our osmometry-optimized force field provide the missing link for predicting condensate dynamics across length and time scales. The strategy is broadly extensible to other interaction classes, including those governing protein-nucleic-acid assemblies.

biophysics↗

bioRxiv2026

Cooperativity, dynamics, and the free-energy surfaces of charge-patterned IDPs

The free-energy surfaces that underlie the conformational distributions of intrinsically disordered proteins (IDPs) are shallow and lack the deep minima characteristic of stable, folded structures. However, even in the absence of secondary or tertiary structure, sequence patterning can lead to conformational preferences and changes in chain dimensions as a function of solution conditions. While patterning effects have received extensive attention from simulation and theory, there is little corresponding data from experiment. Here we investigate the impact of charge patterning on chain dimensions and dynamics in a set of specifically designed polyampholytic IDP variants across the natural range of charge segregation with single-molecule FRET, nanosecond fluorescence correlation, circular dichroism, and NMR spectroscopy. We find that the conformational ensembles and their cooperative response to salt concentration show prominent and systematic dependencies on charge patterning, and to some extent on residue type. In contrast, the chain dynamics remain in the tens-of-nanosecond range, consistent with the absence of pronounced free-energy barriers. In close combination with molecular simulations, we show how the concept of susceptibility can be used to quantify cooperativity in the absence of barriers and relate it to the shallow free-energy surfaces of IDPs.

biophysics↗

bioRxiv2025

Dynamical buffering of reconfiguration dynamics in intrinsically disordered proteins

The dynamics of intrinsically disordered proteins are important for their function, allowing their heterogeneous conformational ensembles to rapidly reconfigure in response to binding partners or changes in solution conditions. However, the relation between sequence composition and chain dynamics has rarely been studied. Here, we characterize the dynamics of a set of 16 naturally occurring disordered regions of identical chain length but with highly diverse sequences. In spite of the strong variation of chain dimensions with sequence in this set inferred from single-molecule FRET, nanosecond fluorescence correlation spectroscopy yields chain reconfiguration times that are almost independent of sequence. This surprising observation contrasts with the slowdown in dynamics, attributed to internal friction, that has been observed in more compact disordered proteins. We investigated this effect with the aid of multi-microsecond, all-atom explicit-solvent simulations of all 16 disordered proteins. The simulations reproduce the experimental FRET efficiencies with near-quantitative accuracy, with explicit inclusion of the FRET dyes improving agreement with experiment while minimally perturbing the protein ensemble. Critically, the simulations also reproduce the lack of correlation between reconfiguration times and chain dimensions across the sequences and allow us to rationalize this observation as arising from two competing factors as the chains get more compact. The narrowing of end-to-end distance distributions and a concomitant reduction of the corresponding intrachain diffusion coefficients have opposite effects that end up resulting in only a small variation of reconfiguration times with chain dimensions. These compensating factors "buffer" the effect of sequence on linker dynamics, which may help to conserve function as sequences evolve.

biophysics↗

bioRxiv2022

Ultrafast molecular dynamics observed within a dense protein condensate

Many biological macromolecules can phase-separate in the cell and form highly concentrated condensates. The mesoscopic dynamics of these assemblies have been widely characterized, but their behavior at the molecular scale has remained more elusive. Here we investigate condensates of two highly charged disordered human proteins as a characteristic example of liquid-liquid phase separation. The dense phase is 1000 times more concentrated and has 300 times higher bulk viscosity than the dilute phase. However, single-molecule spectroscopy in individual droplets reveals that the polypeptide chains are remarkably dynamic, with sub-microsecond reconfiguration times. We rationalize this behavior with large-scale all-atom molecular-dynamics simulations, which reveal an unexpectedly similar short-range molecular environment in the dense and dilute phases, suggesting that local biochemical processes and interactions can remain exceedingly rapid in phase-separated systems.

biophysics↗

bioRxiv2020

Structure and dynamics of the quaternary hunchback mRNA translation repression complex

A key regulatory process during Drosophila development is the localized suppression of the hunchback mRNA translation at the posterior, which gives rise to a hunchback gradient governing the formation of the anterior-posterior body axis. The suppression of the RNA is achieved by a concerted action of Brain Tumour (Brat), Pumilio (Pum) and Nanos. Each protein is necessary for proper Drosophila development. The RNA contacts have been elucidated for the proteins individually in several atomic-resolution structures. However, the interplay of all three proteins in the RNA suppression remains a long-standing open question. We characterize the quaternary complex of the RNA-binding domains of Brat, Pum and Nanos with hunchback mRNA by combining NMR spectroscopy, SANS/SAXS, XL/MS with MD simulations and ITC assays. The quaternary hunchback mRNA suppression complex is flexible with the unoccupied nucleotides of the RNA functioning as a flexible linker between the Brat and Pum-Nanos moieties of the complex. Moreover, Brat and Pum with Nanos bind the RNA completely independently. In accordance with previous studies, showing that Brat can suppress hunchback mRNA independently and is distributed uniformly throughout the embryo, this suggests that hunchback mRNA suppression by Brat is functionally separate from the suppression by Pumilio and Nanos.

molecular biology↗

bioRxiv2019

Disentangling the Effects of Asymmetry, Shape Fluctuations, Disorder, and Atomic Details on SAXS Curves of Soft Matter Complexes

Small-angle X-ray scattering (SAXS) is a widely used experimental technique, providing structural and dynamic insight into soft-matter complexes and biomolecules under near-native conditions. However, interpreting the one-dimensional scattering profiles in terms of three-dimensional structures and ensembles remains challenging, partly because it is poorly understood how structural information is encoded along the measured scattering angle. We combined all-atom SAXS-restrained ensemble simulations, simplified continuum models, and SAXS experiments of a n-dodecyl-{beta}-D-maltoside (DDM) micelle to decipher the effects of model asymmetry, shape fluctuations, atomic disorder, and atomic details on SAXS curves. Upon interpreting the small-angle regime, we find remarkable agreement between (i) a two-component tri-axial ellipsoid model fitted against the data with (ii) a SAXS-refined all-atom ensemble. However, continuum models fail at wider angles, even if they account for shape fluctuations, disorder, and asymmetry of the micelle. We conclude that modelling atomic details is mandatory for explaining SAXS curves at wider angles.

biophysics↗

bioRxiv2018

Merging in-solution X-ray and neutron scattering data allows fine structural analysis of membrane-protein detergent complexes

AbstractIn-solution small angle X-ray and neutron scattering (SAXS/SANS) have become popular methods to characterize the structure of membrane proteins, solubilized by either detergents or nanodiscs. SANS studies of protein-detergent complexes usually require deuterium-labelled proteins or detergents, which in turn often lead to problems in their expression or purification. Here, we report an approach whose novelty is the combined analysis of SAXS and SANS data from an unlabeled membrane protein complex in solution in two complementary ways. Firstly, an explicit atomic analysis, including both protein and detergent molecules, using the program WAXSiS which has been adapted to predict SANS data. Secondly, the use of MONSA which allows to discriminate between detergent head- and tail-groups in an ab initio approach. Our approach is readily applicable to any detergent-solubilized protein and provides more detailed structural information on protein-detergent complexes from unlabeled samples than SAXS or SANS alone.\n\n\n\nO_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=196 SRC=\"FIGDIR/small/324103_ufig1.gif\" ALT=\"Figure 1\">\nView larger version (67K):\norg.highwire.dtl.DTLVardef@f7e17corg.highwire.dtl.DTLVardef@1f4987dorg.highwire.dtl.DTLVardef@1475c79org.highwire.dtl.DTLVardef@839b9_HPS_FORMAT_FIGEXP M_FIG C_FIG

biophysics↗