No vaccine exists against group A Streptococcus (GAS), a leading cause of worldwide morbidity and mortality. A severe hurdle is the hypervariability of its major antigen, the M protein, with >200 different M types known. Neutralizing antibodies typically recognize M protein hypervariable regions (HVRs) and confer narrow protection. In stark contrast, human C4b-binding protein (C4BP), which is recruited to the GAS surface to block phagocytic killing, interacts with a remarkably large number of M protein HVRs (apparently ~90%). Such broad recognition is rare, and we discovered a unique mechanism for this through structure determination of four sequence-diverse M proteins in complex with C4BP. The structures revealed a uniform and tolerant ‘reading head’ in C4BP, which detected conserved sequence patterns hidden within hypervariability. Our results open up possibilities for rational therapies targeting the M-C4BP interaction, and also inform a path towards vaccine design.

The goal of multiscale modeling in biology is to use structurally based physico-chemical models to integrate across temporal and spatial scales of biology and thereby improve mechanistic understanding of, for example, how a single mutation can alter organism-scale phenotypes. This approach may also inform therapeutic strategies or identify candidate drug targets that might otherwise have been overlooked. However, in many cases, it remains unclear how best to synthesize information obtained from various scales and analysis approaches, such as atomistic molecular models, Markov state models (MSM), subcellular network models, and whole cell models. In this paper, we use protein kinase A (PKA) activation as a case study to explore how computational methods that model different physical scales can complement each other and integrate into an improved multiscale representation of the biological mechanisms. Using measured crystal structures, we show how molecular dynamics (MD) simulations coupled with atomic-scale MSMs can provide conformations for Brownian dynamics (BD) simulations to feed transitional states and kinetic parameters into protein-scale MSMs. We discuss how milestoning can give reaction probabilities and forward-rate constants of cAMP association events by seamlessly integrating MD and BD simulation scales. These rate constants coupled with MSMs provide a robust representation of the free energy landscape, enabling access to kinetic, and thermodynamic parameters unavailable from current experimental data. These approaches have helped to illuminate the cooperative nature of PKA activation in response to distinct cAMP binding events. Collectively, this approach exemplifies a general strategy for multiscale model development that is applicable to a wide range of biological problems.

We identify a previously unresolved, unrecognized, and highly stable conformation of the Protein Kinase A (PKA) regulatory subunit RIα. This conformation, which we refer to as the “Flipback” structure, bridges conflicting characteristics in the crystallographic structures and solution experiments of the PKA RIα heterotetramer. Our simulations reveal a hinge residue in the B/C helix that is conserved through all isoforms of RI. Brownian dynamics simulations suggest that the Flipback conformation plays a role in cAMP association to the A domain of R subunit.

This synthesis of ethyl 6-acetoxyhexanoate (Berryflor) is designed as an experiment for use in a second-year organic chemistry course focusing on the synthesis and reaction of esters. The compound is described as having a raspberry-like odor with jasmine and anise aspects. A two-step procedure for its synthesis beginning with inexpensive ε-caprolactone is described. The first step involves an acid-catalyzed transesterification of the lactone to form ethyl 6-hydroxyhexanoate. Ethyl 6-hydroxyhexanoate is converted to the desired compound via acetylation under mildly basic conditions to give ethyl 6-acetoxyhexanoate in good yield. The product is characterized using 1H NMR spectroscopy, IR spectroscopy, gas chromatography, thin layer chromatography, and by comparison to commercial samples.

The original version of this Article contained an incorrect label in Fig. 1b that was introduced during production. The yellow structure on the right should have been labelled 'M49'. This has now been corrected in all versions of the Article.