biostudies-literatureCohan MCNINDS NIH HHSNational Institutes of HealthNational Science Foundation167373https://www.ebi.ac.uk/biostudies/studies/S-EPMC10178624biostudies-literatureUnknown434(2)Sequence-ensemble relationships of intrinsically disordered proteins (IDPs) are governed by binary patterns such as the linear clustering or mixing of specific residues or residue types with respect to one another. To enable the discovery of potentially important, shared patterns across sequence families, we describe a computational method referred to as NARDINI for Non-random Arrangement of Residues in Disordered Regions Inferred using Numerical Intermixing. This work was partially motivated by the observation that parameters that are currently in use for describing different binary patterns are not interoperable across IDPs of different amino acid compositions and lengths. In NARDINI, we generate an ensemble of scrambled sequences to set up a composition-specific null model for the patteJournal of molecular biologyUncovering Non-random Binary Patterns Within Sequences of Intrinsically Disordered Proteins.PMC10178624R01 NS056114R01 NS121114Pappu RVShinn MKLalmansingh JMCohan MCfalseUncovering Non-random Binary Patterns Within Sequences of Intrinsically Disordered Proteins.Sequence-ensemble relationships of intrinsically disordered proteins (IDPs) are governed by binary patterns such as the linear clustering or mixing of specific residues or residue types with respect to one another. To enable the discovery of potentially important, shared patterns across sequence families, we describe a computational method referred to as NARDINI for Non-random Arrangement of Residues in Disordered Regions Inferred using Numerical Intermixing. This work was partially motivated by the observation that parameters that are currently in use for describing different binary patterns are not interoperable across IDPs of different amino acid compositions and lengths. In NARDINI, we generate an ensemble of scrambled sequences to set up a composition-specific null model for the patte2022-01-01T00:00:00Z2022 Jan2025-04-05T10:54:08.535Z2025-04-05T10:54:08.535ZS-EPMC101786243486377710.1016/j.jmb.2021.167373