The N-terminal regulatory region of c-Src including the SH4, Unique, and SH3 domains adopts a compact, yet highly dynamic, structure that can be described as an intramolecular fuzzy complex. Most of the long-range interactions within the Unique domain are also observed in constructs lacking the structured SH3, indicating a considerable degree of preorganization of the disordered Unique domain. Here we report that members of the Src family of kinases (SFK) share well-conserved sequence features involving aromatic residues in their Unique domains. This observation contrasts with the supposed lack of sequence homology implied by the name of these domains and suggests that the other members of SFK also have a regulatory region involving their Unique domains. We argue that the Unique domain of each SFK is sensitive to specific input signals, encoded by each specific sequence, but the entire family shares a common mechanism for connecting the disordered and structured domains.

Regulation of c-Src activity by the intrinsically disordered Unique domain has recently been demonstrated. However, its connection with the classical regulatory mechanisms is still missing. Here we show that the Unique domain is part of a long loop closed by the interaction of the SH4 and SH3 domains. The conformational freedom of the Unique domain is further restricted through direct contacts with SH3 that are allosterically modulated by binding of a poly-proline ligand in the presence and in the absence of lipids. Our results highlight the scaffolding role of the SH3 domain for the c-Src N-terminal intrinsically disordered regions and suggest a connection between the regulatory mechanisms involving the SH3 and Unique domains.

Structural disorder is an essential ingredient for function in many proteins and protein complexes. Fuzzy complexes describe the many instances where disorder is maintained as a critical element of protein interactions. In this minireview we discuss how intramolecular fuzzy interactions function in signaling complexes. Focussing on the Src family of kinases, we argue that the intrinsically disordered domains that are unique for each of the family members and display a clear fingerprint of long range interactions in Src, might have critical roles as functional sensor or effectors and mediate allosteric communication via fuzzy interactions.

Summary The c-Src oncogene is anchored to the cytoplasmic membrane through its N-terminal myristoylated SH4 domain. This domain is part of an intramolecular fuzzy complex with the SH3 and Unique domains. Here we show that the N-terminal myristoyl group binds to the SH3 domain in the proximity of the RT loop, when Src is not anchored to a lipid membrane. Residues in the so-called Unique Lipid Binding Region modulate this interaction. In the presence of lipids, the myristoyl group is released from the SH3 domain and inserts into the lipid membrane. The fuzzy complex with the SH4 and Unique domains is retained in the membrane-bound form, placing the SH3 domain close to the membrane surface and restricting its orientation. The apparent affinity of myristoylated proteins containing the SH4, Unique, and SH3 domains is modulated by these intramolecular interactions, suggesting a mechanism linking c-Src activation and membrane anchoring.

The c-Src oncogene is anchored to the cytoplasmic membrane through its N-terminal myristoylated SH4 domain. This domain is part of an intramolecular fuzzy complex with the SH3 and Unique domains. Here we show that the N-terminal myristoyl group binds to the SH3 domain in the proximity of the RT loop, when Src is not anchored to a lipid membrane. Residues in the so-called Unique Lipid Binding Region modulate this interaction. In the presence of lipids, the myristoyl group is released from the SH3 domain and inserts into the lipid membrane. The fuzzy complex with the SH4 and Unique domains is retained in the membrane-bound form, placing the SH3 domain close to the membrane surface and restricting its orientation. The apparent affinity of myristoylated proteins containing the SH4, Unique, and SH3 domains is modulated by these intramolecular interactions, suggesting a mechanism linking c-Src activation and membrane anchoring.

Highlights • Disordered regions can act as sensors of the cell environment. • Intramolecular fuzzy complexes in Src family kinases couple disordered and SH3 domains • Nearly 50% of disordered regions bound to SH3 domains in Uniprot database are tails • Linkers and tails connected to SH3 domains are enriched in SH3 binding motifs • A widespread role of SH3 domains coupling disordered and folded domains is suggested

We present Farseer-NMR (https://git.io/vAueU), a software package to treat, evaluate and combine NMR spectroscopic data from sets of protein-derived peaklists covering a range of experimental conditions. The combined advances in NMR and molecular biology enable the study of complex biomolecular systems such as flexible proteins or large multibody complexes, which display a strong and functionally relevant response to their environmental conditions, e.g. the presence of ligands, site-directed mutations, post translational modifications, molecular crowders or the chemical composition of the solution. These advances have created a growing need to analyse those systems’ responses to multiple variables. The combined analysis of NMR peaklists from large and multivariable datasets has become a new bottleneck in the NMR analysis pipeline, whereby information-rich NMR-derived parameters have to be manually generated, which can be tedious, repetitive and prone to human error, or even unfeasible for very large datasets. There is a persistent gap in the development and distribution of software focused on peaklist treatment, analysis and representation, and specifically able to handle large multivariable datasets, which are becoming more commonplace. In this regard, Farseer-NMR aims to close this longstanding gap in the automated NMR user pipeline and, altogether, reduce the time burden of analysis of large sets of peaklists from days/weeks to seconds/minutes. We have implemented some of the most common, as well as new, routines for calculation of NMR parameters and several publication-quality plotting templates to improve NMR data representation. Farseer-NMR has been written entirely in Python and its modular code base enables facile extension.Electronic supplementary materialThe online version of this article (10.1007/s10858-018-0182-5) contains supplementary material, which is available to authorized users.

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