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Human islet amyloid polypeptide (hIAPP) self-assembles into amyloid fibrils which deposit in pancreatic islets of type 2 diabetes (T2D) patients. Here, we applied chemical kinetics to study the mechanism of amyloid assembly of wild-type hIAPP and its more amyloidogenic natural variant S20G. We show that the aggregation of both peptides involves primary nucleation, secondary nucleation and elongation. We also report the discovery of two structurally distinct small-molecule modulators of hIAPP assembly, one delaying the aggregation of wt hIAPP, but not S20G; while the other enhances the rate of aggregation of both variants at substoichiometric concentrations. Investigation into the inhibition mechanism(s) using chemical kinetics, native mass spectrometry, fluorescence titration, SPR and NMR revealed that the inhibitor retards primary nucleation, secondary nucleation and elongation, by binding peptide monomers. By contrast, the accelerator predominantly interacts with species formed in the lag phase. These compounds represent useful chemical tools to study hIAPP aggregation and may serve as promising starting-points for the development of therapeutics for T2D. Here the authors carry out chemical kinetic studies revealing that aggregation of hIAPP and its variant S20G involves secondary nucleation. Two small molecules with novel scaffolds are shown to inhibit or accelerate aggregation by binding different molecular species.

Despite their high clinical relevance, obtaining structural and biophysical data on transmembrane proteins has been hindered by challenges involved in their expression and extraction in a homogeneous, functionally-active form. The inherent enzymatic activity of receptor tyrosine kinases (RTKs) presents additional challenges. Oncogenic fusions of RTKs with heterologous partners represent a particularly difficult-to-express protein subtype due to their high flexibility, aggregation propensity and the lack of a known method for extraction within the native lipid environment. One such protein is the fibroblast growth factor receptor 3 fused with transforming acidic coiled-coil-containing protein 3 (FGFR3-TACC3), which has failed to express to sufficient quality or functionality in traditional expression systems. Cell-free protein expression (CFPE) is a burgeoning arm of synthetic biology, enabling the rapid and efficient generation of recombinant proteins. This platform is characterised by utilising an optimised solution of cellular machinery to facilitate protein synthesis in vitro. In doing so, CFPE can act as a surrogate system for a range of proteins that are otherwise difficult to express through traditional host cell-based approaches. Here, functional FGFR3-TACC3 was expressed through a novel cell-free expression system in under 48 h. The resultant protein was reconstituted using SMA copolymers with a specific yield of 300 µg/mL of lysate. Functionally, the protein demonstrated significant kinase domain phosphorylation ( t  <  0.0001 ). Currently, there is no published, high-resolution structure of any full-length RTK. These findings form a promising foundation for future research on oncogenic RTKs and the application of cell-free systems for synthesising functional membrane proteins.

RAS mutations are the most common oncogenic drivers across human cancers, but there remains a paucity of clinically-validated pharmacological inhibitors of RAS, as druggable pockets have proven difficult to identify. Here, we identify two RAS-binding Affimer proteins, K3 and K6, that inhibit nucleotide exchange and downstream signaling pathways with distinct isoform and mutant profiles. Affimer K6 binds in the SI/SII pocket, whilst Affimer K3 is a non-covalent inhibitor of the SII region that reveals a conformer of wild-type RAS with a large, druggable SII/α3 pocket. Competitive NanoBRET between the RAS-binding Affimers and known RAS binding small-molecules demonstrates the potential to use Affimers as tools to identify pharmacophores. This work highlights the potential of using biologics with small interface surfaces to select unseen, druggable conformations in conjunction with pharmacophore identification for hard-to-drug proteins. Oncogenic RAS mutants remain difficult to target with small molecules. Here, the authors show that RAS-binding Affimer proteins inhibit RAS signaling while binding diverse regions on the RAS surface, suggesting the potential to use Affimers as tools to identify new binding pockets and pharmacophores.

Protein tyrosine kinases differ widely in their propensity to undergo rearrangements of the N-terminal Asp–Phe–Gly (DFG) motif of the activation loop, with some, including FGFR1 kinase, appearing refractory to this so-called ‘DFG flip’. Recent inhibitor-bound structures have unexpectedly revealed FGFR1 for the first time in a ‘DFG-out’ state. Here we use conformationally selective inhibitors as chemical probes for interrogation of the structural and dynamic features that appear to govern the DFG flip in FGFR1. Our detailed structural and biophysical insights identify contributions from altered dynamics in distal elements, including the αH helix, towards the outstanding stability of the DFG-out complex with the inhibitor ponatinib. We conclude that the αC-β4 loop and ‘molecular brake’ regions together impose a high energy barrier for this conformational rearrangement, and that this may have significance for maintaining autoinhibition in the non-phosphorylated basal state of FGFR1. Receptor tyrosine kinases are key mediators of cell proliferation that have been implicated in several disease states for which they represent promising drug targets. Here the authors determine the thermodynamic basis for the low propensity of FGFR1 to access the DFG-Phe-out conformation required to bind type-II inhibitors.

Members of the fibroblast growth factor receptor tyrosine kinase family (FGFR1–4) play an important role in many signalling cascades. Although tightly regulated, aberrant activity of these enzymes may lead to, or become features of, disease pathologies including cancer. FGFR isoforms have been the subject of drug discovery programmes, with a number of kinase-domain inhibitors in pre-clinical and clinical development. Here, we present the first (83 % complete) backbone resonance assignments of apo-FGFR1 kinase.

Recently, 15 N-detected multidimensional NMR experiments have been introduced for the investigation of proteins. Utilization of the slow transverse relaxation of nitrogen nuclei in a 15 N-TROSY experiment allowed recording of high quality spectra for high molecular weight proteins, even in the absence of deuteration. Here, we demonstrate the applicability of three 15 N-detected H–N correlation experiments (TROSY, BEST-TROSY and HSQC) to RNA. With the newly established 15 N-detected BEST-TROSY experiment, which proves to be the most sensitive 15 N-detected H–N correlation experiment, spectra for five RNA molecules ranging in size from 5 to 100 kDa were recorded. These spectra yielded high resolution in the 15 N-dimension even for larger RNAs since the increase in line width with molecular weight is more pronounced in the 1 H- than in the 15 N-dimension. Further, we could experimentally validate the difference in relaxation behavior of imino groups in AU and GC base pairs. Additionally, we showed that 15 N-detected experiments theoretically should benefit from sensitivity and resolution advantages at higher static fields but that the latter is obscured by exchange dynamics within the RNAs.

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.

Recently, 15N-detected multidimensional NMR experiments have been introduced for the investigation of proteins. Utilization of the slow transverse relaxation of nitrogen nuclei in a 15N-TROSY experiment allowed recording of high quality spectra for high molecular weight proteins, even in the absence of deuteration. Here, we demonstrate the applicability of three 15N-detected H–N correlation experiments (TROSY, BEST-TROSY and HSQC) to RNA. With the newly established 15N-detected BEST-TROSY experiment, which proves to be the most sensitive 15N-detected H–N correlation experiment, spectra for five RNA molecules ranging in size from 5 to 100 kDa were recorded. These spectra yielded high resolution in the 15N-dimension even for larger RNAs since the increase in line width with molecular weight is more pronounced in the 1H- than in the 15N-dimension. Further, we could experimentally validate the difference in relaxation behavior of imino groups in AU and GC base pairs. Additionally, we showed that 15N-detected experiments theoretically should benefit from sensitivity and resolution advantages at higher static fields but that the latter is obscured by exchange dynamics within the RNAs.

K-Ras, a member of the Ras family of small GTPases, is involved in cell growth, proliferation, differentiation and apoptosis and is frequently mutated in cancer. The activity of Ras is mediated by the inter-conversion between GTP- and GDP- bound states. This conversion is regulated by binding of effector proteins such as guanine nucleotide exchange factors and GTPase activating proteins. Previously, NMR signals from these effector-binding regions of Ras often remained unassigned and largely unobservable due to conformational exchange and polysterism inherent to this protein. In this paper, we report the complete backbone and C super( beta ), as well as partial H super( alpha ), H super( beta ) and C super( gamma ), NMR assignment for human K-Ras (residues 1-166) in the GDP-bound form at a physiological pH of 7.4. These data thereby make possible detailed monitoring of the functional cycle of Ras and its interactions with nucleotides and effector proteins through the observation of fingerprint signals from all the functionally important regions of the protein.

K-Ras, a member of the Ras family of small GTPases, is involved in cell growth, proliferation, differentiation and apoptosis and is frequently mutated in cancer. The activity of Ras is mediated by the inter-conversion between GTP- and GDP- bound states. This conversion is regulated by binding of effector proteins such as guanine nucleotide exchange factors and GTPase activating proteins. Previously, NMR signals from these effector-binding regions of Ras often remained unassigned and largely unobservable due to conformational exchange and polysterism inherent to this protein. In this paper, we report the complete backbone and C β , as well as partial H α , H β and C γ , NMR assignment for human K-Ras (residues 1–166) in the GDP-bound form at a physiological pH of 7.4. These data thereby make possible detailed monitoring of the functional cycle of Ras and its interactions with nucleotides and effector proteins through the observation of fingerprint signals from all the functionally important regions of the protein.