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Silvernail, H.

Publications and source records attributed to Silvernail, H..

2 recordsLinked to original sources

Hydrophobic Patch Spacing Produces Nonmonotonic Compaction in Intrinsically Disordered Proteins

The conformational ensembles of intrinsically disordered proteins (IDPs) are encoded by the distribution of physicochemical interactions along their sequences. Although hydropathy-based descriptors capture average chain dimensions across diverse IDPs, the consequences of spacing localized hydrophobic patches remain poorly understood. Coarse-grained simulations of fixed-composition FUS-derived sequence variants reveal maximal compaction at an intermediate patch spacing. Analysis of simplified model peptides identifies this nonmonotonic behavior as one of three spacing responses: monotonic expansion, nonmonotonic compaction, and monotonic compaction. Their occurrence depends on interaction strength, effective interaction length scale, and patch architecture, with nonmonotonicity emerging only when hydrophobic attractions are sufficiently strong. A conformational-class decomposition resolves these responses into weighted patch-contact and patch-noncontact contributions to the ensemble-averaged chain dimensions. In attractive regimes, the contact contribution decreases with spacing while the noncontact contribution increases, and the changing balance between these opposing effects produces maximal compaction at an intermediate spacing. In the steric-dominated regime, separating the patches instead compacts the dominant noncontact conformations by relieving steric frustration. These steric- and attraction-dominated limits show that similar spacing responses can arise from distinct microscopic mechanisms. These findings establish a unified framework for understanding how interaction regime and hydrophobic patch spacing jointly shape IDP conformational ensembles.

biophysics↗

Topological Entanglement in Intrinsically Disordered Proteins: Sequence, Structural, and Functional Determinants

Intrinsically disordered proteins (IDPs) populate heterogeneous conformational ensembles that are difficult to characterize using conventional structural descriptors. As a result, it remains unclear which ensemble features meaningfully connect sequence composition to biological function. Here, we employ entanglement-based measures derived from knot theory to provide complementary insight into IDP organization. Using the human IDRome database, we analyze two continuous entanglement descriptors, the writhe and the second Vassiliev invariant (V2), across more than 28,000 simulated disordered sequences. We show that these entanglement measures exhibit structured, low-dimensional variation across the database and display distinct relationships with sequence composition and ensemble geometry. Writhe primarily reflects compaction-dependent coiling tendencies that are largely recoverable from coarse sequence and structural features, whereas V2 captures higher-order topological organization that is less predictable from simple metrics. Embedding the resulting distribution features reveals functionally enriched regions of entanglement space, and ortholog simulations demonstrate that these signatures are evolutionarily conserved. Together, these results establish entanglement as a biologically relevant dimension of IDP organization and provide a rigorous, complementary framework for linking its sequence, ensemble structure, and molecular function.

biophysics↗