Search bioRxiv⌕ Search

Biology subjects

Madhan, H.

Publications and source records attributed to Madhan, H..

2 recordsLinked to original sources

Switching Functional DNA-Binding Modes by Tuning Protein Order-Disorder Equilibria

Physical remodeling of chromatin by non-histone architectural proteins of the High Mobility Group B (HMGB) family is central to eukaryotic transcriptional regulation. Nhp6A, the prototypical single-HMG-box protein from yeast, harbors both ordered and disordered regions enabling it to bind and bend DNA without sequence specificity. Here, we integrate ensemble experiments, single-molecule FRET, statistical mechanical modeling and atomistic simulations to dissect the structural and functional consequences of context-dependent phosphorylation in the ordered domain and its interplay with the intrinsically disordered region in Nhp6A. We find that Nhp6A occupies a narrow thermodynamic window, with a melting temperature close to the growth temperature of its host organism and high unfolding cooperativity, a feature conserved across the HMG-box family. Phosphorylation extents - mimicked by multisite phosphomimetic substitutions at residue positions conserved across fungal taxa - smoothly tuning the conformational equilibria between at least two different substates in the native ensemble, apart from the unfolded state. This intrinsic plasticity enables close packing of Nhp6A on DNA through two degenerate binding modes, accompanied by two distinct DNA bending geometries. DNA rescues a strongly destabilized mutant, T63D, through favorable intermolecular interactions, thus effectively acting as a chaperone driving folding. Our findings thus reveal a conserved sequence-ensemble-dynamics code in Nhp6A wherein not just stability, but also phosphorylation-induced conformational switching, disordered tail dynamics, and DNA binding-bending closely coordinate chromatin accessibility. The combination of marginal stability, large cooperativity and electrostatic frustration emerges as a design principle to encode charge sensitivity into proteins, and may represent a general strategy for multisite post-translational regulation.

biophysics↗

Hashi: Bridging Statistical Model Derived 1D Microstate Encodings and Protein 3D Structural Ensembles

The functioning of proteins is intimately linked to the conformational states they sample within the native ensemble. Generating ensembles from a single static structure is therefore a research domain receiving considerable attention. In this application note, we introduce Hashi, a pipeline to rapidly generate realistic structural ensembles from the outputs of the structure-based Wako-Saito-Munoz-Eaton (WSME) statistical mechanical model of protein folding. This approach relies on integrating the block WSME model outputs - strings of zeros and ones describing the conformational status of every residue over thousands or millions of microstates each assigned a statistical weight derived from physically grounded energy-entropy terms, and free energy profiles - with the RANCH module of the EOM (ensemble optimization method) from the ATSAS software suite, providing three-dimensional views of the structural ensembles within the model framework. It is applicable to a variety of single-chain monomeric systems with lengths ranging from 30 to 500 residues, including globular and repeat proteins. Ensembles can be generated within seconds to minutes on a standard computer, without recourse to high-performance computational clusters. The generated structural ensembles can also be rank-ordered according to their free energies within a given macrostate or a range of reaction coordinate values. Since the statistical weights of the WSME model microstates can be reweighted or calibrated with experiments, the ensembles shed light on not just the folding mechanism but also on the structural excursions that determine function and opening of otherwise buried binding pockets.

biophysics↗