Thermodynamic stability is fundamental to the biology of proteins. Information on protein stability is essential for studying protein structure and folding and can also be used indirectly to monitor protein-ligand or protein-protein interactions. While clearly valuable, the experimental determination of a protein's stability typically requires biophysical instrumentation and substantial quantities of purified protein, which has limited the use of this technique as a general laboratory method. We report here a simple new method for determining protein stability by using pulse proteolysis with varying concentrations of denaturant. Pulse proteolysis is designed to digest only the unfolded proteins in an equilibrium mixture of folded and unfolded proteins that relaxes on a time scale longer than the proteolytic pulse. We used this method to study the stabilities of Escherichia coli ribonuclease H and its variants, both in purified form and directly from cell lysates. The DeltaG(unf) degrees values obtained by this technique were in agreement with those determined by traditional methods. We also successfully used this method to monitor the binding of maltose-binding protein to maltose, as well as to rapidly screen cognate ligands for this protein. The simplicity of pulse proteolysis suggests that it is an excellent strategy for the high-throughput determination of protein stability in protein engineering and drug discovery applications.

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Like pH, salt concentration can have a dramatic effect on enzymatic catalysis. Here, a general equation is derived for the quantitative analysis of salt-rate profiles: k(cat)/K(M) = (k(cat)/K(M))(MAX)/[1+([Na+]/K[Na+])(n')], where (k(cat)/K(M))(MAX) is the physical limit of k(cat)/K(M), K(Na+) is the salt concentration at which k(cat)/K(M) = (k(cat)/K(M))(MAX)/2, and -n' is the slope of the linear region in a plot of log(k(cat)/K(M)) versus log [Na+]. The value of n' is of special utility, as it reflects the contribution of Coulombic interactions to the uniform binding of the bound states. This equation was used to analyze salt effects on catalysis by ribonuclease A (RNase A), which is a cationic enzyme that catalyzes the cleavage of an anionic substrate, RNA, with k(cat)/K(M) values that can exceed 10(9) M(-1) s(-1). Lys7, Arg10, and Lys66 comprise enzymic subsites that are remote from the active site. Replacing Lys7, Arg10, and Lys66 with alanine decreases the charge on the enzyme as well as the value of n'. Likewise, decreasing the number of phosphoryl groups in the substrate decreases the value of n'. Replacing Lys41, a key active-site residue, with arginine creates a catalyst that is limited by the chemical conversion of substrate to product. This change increases the value of n', as expected for a catalyst that is more sensitive to changes in the binding of the chemical transition state. Hence, the quantitative analysis of salt-rate profiles can provide valuable insight into the role of Coulombic interactions in enzymatic catalysis.

Homo-oligomerization of proteins is abundant in nature, and is often intimately related with the physiological functions of proteins, such as in metabolism, signal transduction or immunity. Information on the homo-oligomer structure is therefore important to obtain a molecular-level understanding of protein functions and their regulation. Currently available web servers predict protein homo-oligomer structures either by template-based modeling using homo-oligomer templates selected from the protein structure database or by ab initio docking of monomer structures resolved by experiment or predicted by computation. The GalaxyHomomer server, freely accessible at http://galaxy.seoklab.org/homomer, carries out template-based modeling, ab initio docking or both depending on the availability of proper oligomer templates. It also incorporates recently developed model refinement methods that can consistently improve model quality. Moreover, the server provides additional options that can be chosen by the user depending on the availability of information on the monomer structure, oligomeric state and locations of unreliable/flexible loops or termini. The performance of the server was better than or comparable to that of other available methods when tested on benchmark sets and in a recent CASP performed in a blind fashion.

SUMMARY Biochemical functions of proteins in cells frequently involve interactions with various ligands. Proteomic methods for identification of proteins that interact with specific ligands such as metabolites, signaling molecules, and drugs are valuable in investigating the regulatory mechanisms of cellular metabolism, annotating proteins with unknown functions, and also elucidating pharmacological mechanisms. Here we report an energetics-based target identification method in which target proteins in a cell lysate are identified by exploiting the effect of ligand binding on their stabilities. Urea-induced unfolding of proteins in cell lysates is probed by a short pulse of proteolysis, and the effect of a ligand on the amount of remaining folded protein is monitored on a proteomic scale. As a proof of the principle, we identified proteins that interact with ATP in the E. coli proteome. Literature and database mining confirmed a majority of the identified proteins are indeed ATP-binding proteins. Four identified proteins that were previously not known to interact with ATP were cloned and expressed to validate the result. Except for one protein, the effects of ATP on urea-induced unfolding were confirmed. Analyses of the protein sequences and structure models were also employed to predict potential ATP binding sites in the identified proteins. Our results demonstrate that this energetics-based target identification approach is a facile method to identify proteins that interact with specific ligands on a proteomic scale.

SUMMARYNative states of proteins are flexible, populating more than just the unique native conformation. The energetics and dynamics resulting from this conformational ensemble are inherently linked to protein function and regulation. Proteolytic susceptibility is one feature determined by this conformational energy landscape. As an attempt to investigate energetics of proteins on a proteomic scale, we challenged the E. coli proteome with extensive proteolysis and determined which proteins, if any, have optimized their energy landscape for resistance to proteolysis. To our surprise, multiple soluble proteins survived the challenge. Maltose binding protein, a survivor from thermolysin digestion, was characterized by in vitro biophysical studies to identify the physical origin of proteolytic resistance. This experimental characterization shows that kinetic stability is responsible for the unusual resistance in maltose binding protein. The biochemical functions of the identified survivors suggest that many of these proteins may have evolved extreme proteolytic resistance because of their critical roles under stressed conditions. Our results suggest that under functional selection proteins can evolve extreme proteolysis resistance by modulating their conformational energy landscapes without the need to invent new folds, and that proteins can be profiled on a proteomic scale according to their energetic properties by using proteolysis as a structural probe.

Angiogenin (ANG), a homologue of bovine pancreatic ribonuclease A (RNase A), promotes the growth of new blood vessels. The biological activity of ANG is dependent on its ribonucleolytic activity, which is far lower than that of RNase A. Here, the efficient heterologous production of human ANG in Escherichia coli was achieved by replacing two sequences of rare codons with codons favored by E. coli. Hypersensitive fluorogenic substrates were used to determine steady-state kinetic parameters for catalysis by ANG in continuous assays. The ANG pH-rate profile is a classic bell-shaped curve, with pK(1) = 5.0 and pK(2) = 7.0. The ribonucleolytic activity of ANG is highly sensitive to Na(+) concentration. A decrease in Na(+) concentration from 0.25 to 0.025 M causes a 170-fold increase in the value of k(cat)/K(M). Likewise, the binding of ANG to a tetranucleotide substrate analogue is dependent on [Na(+)]. ANG cleaves a dinucleotide version of the fluorogenic substrates with a k(cat)/K(M) value of 61 M(-1) s(-1). When the substrate is extended from two nucleotides to four or six nucleotides, values of k(cat)/K(M) increase by 5- and 12-fold, respectively. Together, these data provide a thorough picture of substrate binding and turnover by ANG.

Identifying targets of biologically active small molecules is an essential but still challenging task in drug research and chemical genetics. Energetics‐based target identification is an approach that utilizes the change in the conformational stabilities of proteins upon ligand binding in order to identify target proteins. Different from traditional affinity‐based capture approaches, energetics‐based methods do not require any labeling or immobilization of the test molecule. Here, we report a surprisingly simple version of energetics‐based target identification, which only requires ion exchange chromatography, SDS PAGE, and minimal use of mass spectrometry. The complexity of a proteome is reduced through fractionation by ion exchange chromatography. Urea‐induced unfolding of proteins in each fraction is then monitored by the significant increase in proteolytic susceptibility upon unfolding in the presence and the absence of a ligand. Proteins showing a different degree of unfolding with the ligand are identified by SDS PAGE followed by mass spectrometry. Using this approach, we identified ATP‐binding proteins in the Escherichia coli proteome. In addition to known ATP‐binding proteins, we also identified a number of proteins that were not previously known to interact with ATP. To validate one such finding, we cloned and purified phosphoglyceromutase, which was not previously known to bind ATP, and confirmed that ATP indeed stabilizes this protein. The combination of fractionation and pulse proteolysis offers an opportunity to investigate protein–drug or protein–metabolite interactions on a proteomic scale with minimal instrumentation and without modification of a molecule of interest.