Lessons from a quarter century of being human in protein science.

Over the past quarter century, my engagement with the protein society has allowed me to witness first-hand the evolution of our deepening understanding of the complexity of protein folding landscapes. During my own evolution as a protein scientist, my passion for protein folding has deepened into an obsession with mapping and decoding the thermodynamic and kinetic secrets of protein landscapes-especially those of rebel proteins, whose "nontraditional" behavior has challenged our paradigms and inspired the expansion of our models and methods. It is perhaps not surprising that I see parallels in the evolution of the landscape framework and in the development of our own trajectories as humans in Science, Technology, Engineering and Mathematics (STEM). Just as with proteins, however, we need to recognize that our individual human landscapes are not isolated from our local departmental and institutional communities, and are integrated into the larger networks of our STEM disciplines, academia, industry, and/or government, not to mention society. My experience with hundreds of participants in the Being Human in STEM (HSTEM) initiative that Amherst College undergraduates and I co-founded in 2016 has helped me find hope for STEM and humanity. If we commit to reconciling our identities as scientists with our responsibilities as human beings, together we can accelerate the evolution of individual, community, and societal landscapes to contribute to addressing the dire challenges facing our planet.

Mapping Protein Conformational Landscapes under Strongly Native Conditions with Hydrogen Exchange Mass Spectrometry.

The thermodynamic stability and kinetic barriers separating protein conformations under native conditions are critical for proper protein function and for understanding dysfunction in diseases of protein conformation. Traditional methods to probe protein unfolding and folding employ denaturants and highly non-native conditions, which may destabilize intermediate species or cause irreversible aggregation, especially at the high protein concentrations typically required. Hydrogen exchange (HX) is ideal for detecting conformational behavior under native conditions without the need for denaturants, but detection by NMR is limited to small highly soluble proteins. Mass spectrometry (MS) can, in principle, greatly extend the applicability of native-state HX to larger proteins and lower concentrations. However, quantitative analysis of HXMS profiles is currently limited by experimental and theoretical challenges. Here we address both limitations, by proposing an approach based on using standards to eliminate the systematic experimental artifacts in HXMS profiles, and developing the theoretical framework to describe HX behavior across all regimes based on the Linderstrøm-Lang formalism. We demonstrate proof of principle by a practical application to native-state HX of a globular protein. The framework and the practical tools developed advance the ability of HXMS to extract thermodynamic and kinetic conformational parameters of proteins under native conditions.

A comprehensive database of verified experimental data on protein folding kinetics.

Insights into protein folding rely increasingly on the synergy between experimental and theoretical approaches. Developing successful computational models requires access to experimental data of sufficient quantity and high quality. We compiled folding rate constants for what initially appeared to be 184 proteins from 15 published collections/web databases. To generate the highest confidence in the dataset, we verified the reported lnkf value and exact experimental construct and conditions from the original experimental report(s). The resulting comprehensive database of 126 verified entries, ACPro, will serve as a freely accessible resource (https://www.ats.amherst.edu/protein/) for the protein folding community to enable confident testing of predictive models. In addition, we provide a streamlined submission form for researchers to add new folding kinetics results, requiring specification of all the relevant experimental information according to the standards proposed in 2005 by the protein folding consortium organized by Plaxco. As the number and diversity of proteins whose folding kinetics are studied expands, our curated database will enable efficient and confident incorporation of new experimental results into a standardized collection. This database will support a more robust symbiosis between experiment and theory, leading ultimately to more rapid and accurate insights into protein folding, stability, and dynamics.

Modeling the solvation of nonpolar amino acids in guanidinium chloride solutions.

It is common to denature proteins by using high temperatures or by adding guanidinium chloride (GdmCl). However, the physical mechanism of denaturation is not well understood. Based on extensive experimental data, we developed a thermodynamic binding-polynomial model for the process of transferring nonpolar amino acids from water into GdmCl solutions, as a function of temperature and GdmCl concentration. To mimic nonpolar amino acids, we utilized the model compound, N-acetyl-tryptophanamide (NATA). We find that all nonpolar amino acids behave like NATA, with a scale factor linearly dependent on the surface area. Our model with three thermodynamic parameters fully captures the nonlinear dependencies on both the temperature and GdmCl concentration: binding the first guanidinium ion (Gdm(+)) to NATA has favorable entropy and unfavorable enthalpy of desolvation (ΔS = +11.7 cal/mol, ΔH = +3.9 kcal/mol), while cooperativity of binding a second Gdm(+) has a small contribution (K = 0.032 ± 0.003). This model may be useful for a better understanding of protein denaturation by temperature and GdmCl.

Teaching structure: student use of software tools for understanding macromolecular structure in an undergraduate biochemistry course.

Because understanding the structure of biological macromolecules is critical to understanding their function, students of biochemistry should become familiar not only with viewing, but also with generating and manipulating structural representations. We report a strategy from a one-semester undergraduate biochemistry course to integrate use of structural representation tools into both laboratory and homework activities. First, early in the course we introduce the use of readily available open-source software for visualizing protein structure, coincident with modules on amino acid and peptide bond properties. Second, we use these same software tools in lectures and incorporate images and other structure representations in homework tasks. Third, we require a capstone project in which teams of students examine a protein-nucleic acid complex and then use the software tools to illustrate for their classmates the salient features of the structure, relating how the structure helps explain biological function. To ensure engagement with a range of software and database features, we generated a detailed template file that can be used to explore any structure, and that guides students through specific applications of many of the software tools. In presentations, students demonstrate that they are successfully interpreting structural information, and using representations to illustrate particular points relevant to function. Thus, over the semester students integrate information about structural features of biological macromolecules into the larger discussion of the chemical basis of function. Together these assignments provide an accessible introduction to structural representation tools, allowing students to add these methods to their biochemical toolboxes early in their scientific development.

Biological insights from hydrogen exchange mass spectrometry.

Over the past two decades, hydrogen exchange mass spectrometry (HXMS) has achieved the status of a widespread and routine approach in the structural biology toolbox. The ability of hydrogen exchange to detect a range of protein dynamics coupled with the accessibility of mass spectrometry to mixtures and large complexes at low concentrations result in an unmatched tool for investigating proteins challenging to many other structural techniques. Recent advances in methodology and data analysis are helping HXMS deliver on its potential to uncover the connection between conformation, dynamics and the biological function of proteins and complexes. This review provides a brief overview of the HXMS method and focuses on four recent reports to highlight applications that monitor structure and dynamics of proteins and complexes, track protein folding, and map the thermodynamics and kinetics of protein unfolding at equilibrium. These case studies illustrate typical data, analysis and results for each application and demonstrate a range of biological systems for which the interpretation of HXMS in terms of structure and conformational parameters provides unique insights into function. This article is part of a Special Issue entitled: Mass spectrometry in structural biology.

Scope and utility of hydrogen exchange as a tool for mapping landscapes.

The ability to determine conformational parameters of protein-folding landscapes is critical for understanding the link between conformation, function, and disease. Monitoring hydrogen exchange (HX) of labile protons at equilibrium enables direct extraction of thermodynamic or kinetic landscape parameters in two limiting extremes. Here, we establish a quantitative framework for relating HX behavior to landscape. We use this framework to demonstrate that the range of predicted global HX behavior for the majority of a set of characterized two-state proteins under near-native conditions does not readily span between both extremes. For most, stability may be quantitatively determined under physiological conditions, with semiquantitative boundaries on kinetics additionally determined using modest experimental perturbations to shift HX behavior. The framework and relationships derived in the simple context of two-state global folding highlight the importance of understanding HX across the entire continuum of behavior, in order to apply HX to map landscapes.

Comprehensive analysis of protein folding activation thermodynamics reveals a universal behavior violated by kinetically stable proteases.

Alpha-lytic protease (alpha LP) and Streptomyces griseus protease B (SGPB) are two extracellular serine proteases whose folding is absolutely dependent on the existence of their companion pro regions. Moreover, the native states of these proteins are, at best, marginally stable, with the apparent stability resulting from being kinetically trapped in the native state by large barriers to unfolding. Here, in an effort to understand the physical properties that distinguish kinetically and thermodynamically stable proteins, we study the temperature-dependences of the folding and unfolding kinetics of alpha LP and SGPB without their pro regions, and compare their behavior to a comprehensive set of other proteins. For the folding activation thermodynamics, we find some remarkable universal behaviors in the thermodynamically stable proteins that are violated dramatically by alpha LP. Despite significant variations in deltaC(P,F)++, the maximal folding speed occurs within the narrow biological temperature range for all proteins, except for alpha LP, with its maximal folding speed shifted lower by 200 K. This implies evolutionary pressures on folding speed for typical proteins, but not for alpha LP. In addition, the folding free energy barrier in the biological temperature range for most proteins is predominantly enthalpic, but purely entropic for alpha LP. The unfolding of alpha LP and SGPB is distinguished by three properties: a remarkably large deltaC(P,U)++, a very high deltaG(U)++, and a maximum deltaG(u)++ at the optimal growth temperature for the organism. While other proteins display each of these traits to some approximation, the simultaneous optimization of all three occurs only in the kinetically stable proteins, and appears to be required to maximize their unfolding cooperativity, by suppressing local unfolding events, and slowing the rate of global unfolding. Together, these properties extend the lifetime of these enzymes in the highly proteolytic extracellular environment. Attaining such functional properties seems possible only through the gross perturbation of the folding thermodynamics, which in turn has required the co-evolution of pro regions as folding catalysts.

Energetic landscape of alpha-lytic protease optimizes longevity through kinetic stability.

During the evolution of proteins the pressure to optimize biological activity is moderated by a need for efficient folding. For most proteins, this is accomplished through spontaneous folding to a thermodynamically stable and active native state. However, in the extracellular bacterial alpha-lytic protease (alphaLP) these two processes have become decoupled. The native state of alphaLP is thermodynamically unstable, and when denatured, requires millennia (t1/2 approximately 1,800 years) to refold. Folding is made possible by an attached folding catalyst, the pro-region, which is degraded on completion of folding, leaving alphaLP trapped in its native state by a large kinetic unfolding barrier (t1/2 approximately 1.2 years). alphaLP faces two very different folding landscapes: one in the presence of the pro-region controlling folding, and one in its absence restricting unfolding. Here we demonstrate that this separation of folding and unfolding pathways has removed constraints placed on the folding of thermodynamically stable proteins, and allowed the evolution of a native state having markedly reduced dynamic fluctuations. This, in turn, has led to a significant extension of the functional lifetime of alphaLP by the optimal suppression of proteolytic sensitivity.