Simplified proteomics approach to discover protein-ligand interactions

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.     

A one-pot analysis approach to simplify measurements of protein stability and folding kinetics

To achieve a good understanding of the characteristics of a protein, it is important to study its stability and folding kinetics. Investigations of protein stability have been recently applied to drug-target identification, drug screening, and proteomic studies. The efficiency of the experiments performed to study protein stability and folding kinetics is now a crucial factor that needs to be optimized for these potential applications. However, the standard procedures used to carry out these experiments are usually complicated and time consuming. Large number of measurements is the bottleneck that limits the application of protein folding to large-scale experiments. To overcome this limitation, we developed a method denoted as “one-pot analysis” which is based on taking a single measurement from a mixture of samples rather than from every sample. We combined one-pot analysis with pulse proteolysis to determine the effects of the binding of maltose to maltose-binding protein on the protein folding properties. After carrying out a simple optimization, we demonstrated that protein stability or unfolding kinetics could be measured accurately with just one detection measurement. We then further applied the optimized conditions to cellular thermal shift assay (CETSA). Combining one-pot analysis with CETSA led to a successful determination of the effects of the binding of methotrexate to dihydrofolate reductase in HCT116 cancer cells. Our results demonstrated the applicability of one-pot analysis to energetics-based methods for studying protein folding. We expect the combination of one-pot analysis and energetics-based methods to significantly benefit studies such as drug-target identification, proteomic investigations, and drug screening.     

Heme proteins—Diversity in structural characteristics,function, and folding

The characteristics of heme prosthetic groups and their binding sites have been analyzed in detail in a data set of nonhomologous heme proteins. Variations in the shape, volume, and chemical composition of the binding site, in the mode of heme binding and in the number and nature of heme–protein interactions are found to result in significantly different heme environments in proteins with different functions in biology. Differences are also seen in the properties of the apo states of the proteins. The apo states of proteins that bind heme permanently in their functional form show some disorder, ranging from local unfolding in the heme binding pocket to complete unfolding to give a random coil. In contrast, proteins that bind heme transiently are fully folded in their apo and holo states, presumably allowing both apo and holo forms to remain biologically active resisting aggregation or proteolysis. The principles identified here provide a framework for the design of de novo proteins that will exhibit tight heme ligand binding and for the identification of the function of structural genomic target proteins with heme ligands. Proteins 2010. © 2010 Wiley‐Liss, Inc.     

Identification of differentially expressed proteins by treatment with PUGNAc in 3T3‐L1 adipocytes through analysis of ATP‐binding proteome

O‐GlcNAc (2‐acetamino‐2‐deoxy‐β‐D‐glucopyranose), an important modification for cellular processes, is catalyzed by O‐GlcNAc transferase and O‐GlcNAcase. O‐(2‐acetamido‐2‐deoxy‐D‐glucopyranosylidene) amino‐N‐phenylcarbamate (PUGNAc) is a nonselective inhibitor of O‐GlcNAcase, which increases the level of protein O‐GlcNAcylation and is known to induce insulin‐resistance in adipose cells due to uncharacterized targets of this inhibitor. In this study, using ATP affinity chromatography, we applied a targeted proteomic approach for identification of proteins induced by treatment with PUGNAc. For optimization of proteomic methods using ATP affinity chromatography, comparison of two cell lines (3T3‐L1 adipocytes and C2C12 myotubes) and two different digestion steps was performed using four different structures of immobilized ATP‐bound resins. Using this approach, based on DNA sequence homologies, we found that the identified proteins covered almost half of ATP‐binding protein families classified by PROSITE. The optimized ATP affinity chromatography approach was applied for identification of proteins that were differentially expressed in 3T3‐L1 adipocytes following treatment with PUGNAc. For label‐free quantitation, a gel‐assisted method was used for digestion of the eluted proteins, and analysis was performed using two different MS modes, data‐independent (671 proteins identified) and data‐dependent (533 proteins identified) analyses. Among identified proteins, 261 proteins belong to nucleotide‐binding proteins and we focused on some nucleotide‐binding proteins, ubiquitin‐activation enzyme 1 (E1), Hsp70, vasolin‐containing protein (Vcp), and Hsp90, involved in ubiquitin‐proteasome degradation and insulin signaling pathways. In addition, we found that treatment with PUGNAc resulted in increased ubiquitination of proteins in a time‐dependent manner, and a decrease in both the amount of Akt and the level of phosphorylation of Akt, a key component in insulin signaling, through downregulation of Hsp90. In this study, based on a targeted proteomic approach using ATP affinity chromatography, we found four proteins related to ubiquitination and insulin signaling pathways that were induced by treatment with PUGNAc. This result would provide insight into understanding functions of PUGNAc in 3T3‐L1 cells.     

Identification of proteins interacting with the catalytic subunit of PP2A by proteomics

The protein phosphatase 2A (PP2A) is a serine/threonine phosphatase involved in the regulation of multiple signaling pathways including the Wnt/beta-catenin and the ERK pathways. To understand the complex signaling networking associated with PP2A, we searched proteins interacting with the catalytic subunit of protein phosphatase 2A (PP2Ac) by a pull-down analysis followed by 2-D gel electrophoresis and proteomic analyses. The probability of identification of the proteins interacting with PP2Ac was increased by searching proteins differently interacting with PP2Ac according to stimulation of Wnt3a, which regulates both the Wnt/beta-catenin and the ERK pathways. Around 100 proteins, pulled-down by His-tagged PP2Ac, were identified in 2-D gels stained with CBB. By MALDI-TOF-MS analyses of 45 protein spots, we identified several proteins that were previously known to interact with PP2A, such as Axin and CaMK IV. In addition, we also identified many proteins that potentially interact with PP2Ac. The interactions of several candidate proteins, such as tuberous sclerosis complex 2, RhoB, R-Ras, and Nm23H2, with PP2Ac, were confirmed by in vitro binding analyses and/or coimmunoprecipitation experiments.     

Ligand binding analysis and screening by chemical denaturation shift

The identification of small molecule ligands is an important first step in drug development, especially drugs that target proteins with no intrinsic activity. Toward this goal, it is important to have access to technologies that are able to measure binding affinities for a large number of potential ligands in a fast and accurate way. Because ligand binding stabilizes the protein structure in a manner dependent on concentration and binding affinity, the magnitude of the protein stabilization effect elicited by binding can be used to identify and characterize ligands. For example, the shift in protein denaturation temperature (T_m shift) has become a popular approach to identify potential ligands. However, T_m shifts cannot be readily transformed into binding affinities, and the ligand rank order obtained at denaturation temperatures (?60 °C) does not necessarily coincide with the rank order at physiological temperature. An alternative approach is the use of chemical denaturation, which can be implemented at any temperature. Chemical denaturation shifts allow accurate determination of binding affinities with a surprisingly wide dynamic range (high micromolar to sub nanomolar) and in situations where binding changes the cooperativity of the unfolding transition. In this article, we develop the basic analytical equations and provide several experimental examples.     

The crystal structure of odorant binding protein 7 from Anopheles gambiae exhibits an outstanding adaptability of its binding site

Anopheles gambiae (Agam) targets human and animals by using its olfactory system, leading to the spread of Plasmodium falciparum, the malaria vector. Odorant binding proteins (OBPs) participate to the first event in odorant recognition and constitute an interesting target for insect control. OBPs interact with olfactory receptors to which they deliver the odorant molecule. We have undertaken a large-scale study of proteins belonging to the olfactory system of Agam with in mind of designing strong olfactory repellants. Here, we report the expression, three-dimensional structures and binding properties of AgamOBP07, a member of a new structural class of OBPs, characterized by the occurrence of eight cysteines. We showed that AgamOBP07 possesses seven α-helices and four disulfide bridges, instead of six α-helices and three disulfide bridges in classical OBPs. The extra seventh helix is located at the surface of the protein, locked by the fourth disulfide bridge, and forms a wall of the internal cavity. The binding site of the protein is mainly hydrophobic, elongated and open and is able to accommodate elongated ligands, linear or polycyclic, as suggested also by binding experiments. An elongated electron density was observed in the internal cavity of the purified protein, belonging to a serendipitous ligand. The structure of AgamOBP07 in complex with an azo-bicyclic model compound reveals that a large conformational change in the protein has reshaped its binding site, provoking helix 4 unfolding and doubling of the cavity volume.     

The ligand affinity of proteins measured by isothermal denaturation kinetics

An isothermal denaturation kinetic method was developed for identifying potential ligands of proteins and measuring their affinity. The method is suitable for finding ligands specific toward proteins of unknown function and for large-scale drug screening. It consists of analyzing the kinetics of isothermal denaturation of the protein-with and without the presence of potential specific ligands-as measured by long-wavelength fluorescent dyes whose quantum yield increases when bound to hydrophobic regions exposed upon unfolding of the proteins. The experimental procedure was developed using thymidylate kinase and stromelysin as target proteins. The kinetics of thermal unfolding of both of these enzymes were consistent with a pathway of two consecutive first-order rate-limiting steps. Reflecting the stabilizing effect of protein/ligand complexes, the presence of specific ligands decreased the value of the rate constants of both steps in a dose-dependent manner. The dependence of the rate constants on ligand concentration obeyed a simple binding isotherm, the analysis of which yielded an accurate equilibrium constant for ligand binding. The method was validated by comparing its results with those obtained under the same conditions by steady-state fluorescence spectroscopy, circular dichroism, and uv spectrophotometry: The corresponding rate constants were comparable for each of the analytical detection methods.     

Selective ligand purification using high-performance affinity beads

Since the development of affinity chromatography, affinity purification technology has been applied to many aspects of biological research, becoming an indispensable tool. Efficient strategies for the identification of biologically active compounds based on biochemical specificity have not yet been established, despite widespread interest in identifying chemicals that directly alter biomolecular functions. Here, we report a novel method for purifying chemicals that specifically interact with a target biomolecule using reverse affinity beads, a receptor-immobilized high-performance solid-phase matrix. When FK506-binding protein 12 (FKBP12) immobilized beads were used in this process, FK506 was efficiently purified in one step either from a mixture of chemical compounds or from fermented broth extract. The reverse affinity beads facilitated identification of drug/receptor complex binding proteins by reconstitution of immobilized ligand/receptor complexes on the beads. When FKBP12/FK506 and FKBP12/rapamycin complexes were immobilized, calcineurin and FKBP/rapamycin-associated protein were purified from a crude cell extract, respectively. These data indicate that reverse affinity beads are powerful tools for identification of both specific ligands and proteins that interact with receptor/ligand complexes.     

Protein–ligand interaction studies of retinol-binding protein 3 with herbal molecules using AutoDock for the management of Eales’ disease

Eales’ disease is an idiopathic retinal vasculitis of the eye. The disease is predominantly characterized by recurrent vitreous hemorrhage. Interphotoreceptor retinol-binding protein 3 plays a significant role in the etiopathogenesis of this condition. It transports retinoids between the retinal pigment epithelium and the photoreceptors; hence, this protein is a potential target for docking studies. In silico data reveal that herbal molecules interact with regulatory domains of interphotoreceptor retinol-binding protein 3 (IRBP-3), resulting into significant docking score and also forms H-bond and several hydrophobic interactions between active residues of IRBP-3. These interactions between the active residues may lead to significant conformational change in that particular portion of the protein. This efficacy and suitability of ligand was determined on the basis of binding energy calculations. Ginkgolide showed minimum binding energy calculations among selected 10 other natural ligands. This fact of virtual screening for potential ligand can give new insights toward the therapeutic intonations and alterations toward the advances in treatment for Eales’ disease.     

Ligand binding to a high‐energy partially unfolded protein

The conformational energy landscape of a protein determines populations of all possible conformations of the protein and also determines the kinetics of the conversion between the conformations. Interaction with ligands influences the conformational energy landscapes of proteins and shifts populations of proteins in different conformational states. To investigate the effect of ligand binding on partial unfolding of a protein, we use Escherichia coli dihydrofolate reductase (DHFR) and its functional ligand NADP⁺ as a model system. We previously identified a partially unfolded form of DHFR that is populated under native conditions. In this report, we determined the free energy for partial unfolding of DHFR at varying concentrations of NADP⁺ and found that NADP⁺ binds to the partially unfolded form as well as the native form. DHFR unfolds partially without releasing the ligand, though the binding affinity for NADP⁺ is diminished upon partial unfolding. Based on known crystallographic structures of NADP⁺‐bound DHFR and the model of the partially unfolded protein we previously determined, we propose that the adenosine‐binding domain of DHFR remains folded in the partially unfolded form and interacts with the adenosine moiety of NADP⁺. Our result demonstrates that ligand binding may affect the conformational free energy of not only native forms but also high‐energy non‐native forms.     

Stable Isotope Labeling with Amino Acids in Cell Culture (SILAC)-Based Strategy for Proteome-Wide Thermodynamic Analysis of Protein-Ligand Binding Interactions

Described here is a quantitative mass spectrometry-based proteomics method for the large-scale thermodynamic analysis of protein-ligand binding interactions. The methodology utilizes a chemical modification strategy termed, Stability of Proteins from Rates of Oxidation (SPROX), in combination with a Stable Isotope Labeling with Amino Acids in Cell Culture (SILAC) approach to compare the equilibrium folding/unfolding properties of proteins in the absence and presence of target ligands. The method, which is general with respect to ligand, measures the ligand-induced changes in protein stability associated with protein-ligand binding. The methodology is demonstrated in a proof-of-principle study in which the well-characterized protein-drug interaction between cyclosporine A (CsA) and cyclophilin A was successfully analyzed in the context of a yeast cell lysate. A control experiment was also performed to assess the method''s false positive rate of ligand discovery, which was found to be on the order of 0.4 - 3.5%. The new method was utilized to characterize the adenosine triphosphate (ATP)-interactome in Saccharomyces cerevisiae using the nonhydrolyzable ATP analog, adenylyl imidodiphosphate (AMP-PNP), and the proteins in a yeast cell lysate. The new methodology enabled the interrogation of 526 yeast proteins for interactions with ATP using 2035 peptide probes. Ultimately, 325 peptide hits from 139 different proteins were identified. Approximately 70% of the hit proteins identified in this work were not previously annotated as ATP binding proteins. However, nearly two-thirds of the newly discovered ATP interacting proteins have known interactions with other nucleotides and co-factors (e.g. NAD and GTP), DNA, and RNA based on GO-term analyses. The current work is the first proteome-wide profile of the yeast ATP-interactome, and it is the largest proteome-wide profile of any ATP-interactome generated, to date, using an energetics-based method. The data is available via ProteomeXchange with identifiers PXD000858, DOI 10.6019/PXD000858, and PXD000860.The characterization of protein-ligand interactions is important in many areas of biochemical research from fundamental studies of biological processes to understanding drug action. Currently, the most widely used methods for proteome-wide analyses of protein-ligand binding interactions are those that combine an affinity purification step with a mass spectrometry-based proteomics analysis. Such methods have provided a wealth of information about protein-protein interaction networks in different proteomes (1–4), and they have helped identify the protein targets of small molecules (5–7). However, a significant drawback to their use is the need for specially designed ligands to facilitate the affinity purification. This has prompted the development of more general methods for protein-ligand binding analyses that can be performed directly in solution and do not require derivatization and/or immobilization of the ligand. Several such methods involving the use of chromatography co-elution (8), protease susceptibility (9), and energetics-based approaches (10–15) have recently been reported.Energetics-based approaches are especially attractive for protein-ligand binding analyses because they can be both quantitative and general with respect to ligand class. Two energetics-based approaches, the stability of proteins from rates of oxidation (SPROX)¹ (10, 16, 17) and pulse proteolysis techniques (13, 18), have shown promise for protein-ligand binding analyses on the proteomic scale, but so far have been limited in their proteomic coverage. Although the pulse proteolysis technique does utilize targeted mass spectrometry-based proteomics analyses for the identification of hit proteins, the technique relies on gel-based strategies for the resolution, detection, and quantitation of potential protein targets (13, 18). This reliance on gel-based strategies for protein resolution, detection, and quantitation, ultimately limits the complexity of protein samples that can be interrogated for ligand binding. In contrast, the SPROX technique has been interfaced with conventional bottom-up shotgun proteomics platforms that exploit the capabilities of modern LC-MS/MS systems to resolve, detect, and quantify the protein components of complex biological mixtures (10, 16, 17).A key limitation to the bottom-up shotgun proteomics protocols developed for SPROX analyses, to date, is that they require the detection and quantitation of methionine-containing peptides to report on the thermodynamic stability of the proteins to which they map. Although the frequency of methionine residues in proteins is relatively low (∼2.5%) (19), the large majority of proteins have at least one methionine. Because one methionine residue can report on the global equilibrium folding/unfolding properties of the protein or protein domain to which it maps, the scope of SPROX is not fundamentally limited by the relatively low frequency of methionine residues in proteins. Rather, the protein coverage in proteome-wide SPROX experiments is limited by the practicalities associated with the comprehensive detection and quantitation of methionine-containing peptides in the bottom-up shotgun proteomics experiment.The SPROX protocol described here utilizes a stable isotope labeling with amino acids in cell culture (SILAC)-based strategy to expand the protein coverage in proteome-wide SPROX experiments by enabling any peptide (i.e. methionine-containing or not) that is identified and quantified in a bottom-up shotgun proteomics experiment to report on the stability of the protein to which it maps. As part of the work described here the capabilities of this new method for protein-ligand binding analysis (referred to hereafter as SILAC-SPROX) are demonstrated and benchmarked in two protein-ligand binding studies. In the first part of this work, the endogenous proteins in a yeast cell lysate are analyzed for binding to cyclosporine A (CsA), an immunosuppressant with well-characterized protein targets (5, 20). In the second part of this work, the endogenous proteins in a yeast cell lysate are analyzed for binding to adenylyl imidodiphosphate (AMP-PNP), a nonhydrolyzable analog of the ubiquitous enzyme co-factor, adenosine triphosphate (ATP), which has less well-characterized protein targets. In the CsA binding study, the already well-characterized tight-binding interaction between CsA and cyclophilin A (21–23) was successfully detected and quantified using the methodology. A number of known and unknown protein binding interactions of ATP were identified and quantified in the ATP-binding experiments described here. The SILAC-SPROX approach shows promise for future studies of protein-ligand interactions at the systems level (e.g. in cellular processes and disease states).     

Identification of p115 as a PLCgamma1-binding protein and the role of Src homology domains of PLCgamma1 in the vesicular transport

In order to gain further insight into the function(s) of PLCgamma1, we tried to identify the binding partners that can interact with the SH223 domains of PLCgamma1. Immunoscreening was performed with the purified antisera that are specific to SH223-binding proteins. Several immunoreactive clones were identified as the putative binding proteins and one of them was identified as p115. p115 was reported to be required for transcytotic fusion and subsequent binding of the vesicles to the target membrane. The interaction between PLCgamma1 and p115 was specific to carboxyl-terminal SH2 domain and SH3 domain of PLCgamma1, and also confirmed by biochemical approaches such as co-immunoprecipitation, pull-down assay, and glycerol gradient fractionation. To further characterize the role of SH domains of PLCgamma1 in the vesicle transport pathway, secreted form of alkaline phosphatase (SEAP) reporter assay was carried out. When the SH2 and/or SH3 domains of PLCgamma1 were deleted, the secretion of SEAP was significantly reduced. These findings indicate that the SH2 and SH3 domains of PLCgamma1 may play a role(s) in the process of the vesicle transport via interaction with other vesicle-associated proteins such as p115.     

Proteomic identification of ZO-1/2 as a novel scaffold for Src/Csk regulatory circuit

To elucidate the regulatory mechanism of cell transformation induced by c-Src tyrosine kinase, we performed a proteomic analysis of tyrosine phosphorylated proteins that interact with c-Src and/or its negative regulator Csk. The c-Src interacting proteins were affinity-purified from Src transformed cells using the Src SH2 domain as a ligand. LC-MS/MS analysis of the purified proteins identified general Src substrates, such as focal adhesion kinase and paxillin, and ZO-1/2 as a transformation-dependent Src target. The Csk binding proteins were analyzed by a tandem affinity purification method. In addition to the previously identified Csk binding proteins, including Cbp/PAG, paxillin, and caveolin-1, we found that ZO-1/2 could also serve as a major Csk binding protein. ZO-2 was phosphorylated concurrently with Src transformation and specifically bound to Csk in a Csk SH2 dependent manner. These results suggest novel roles for ZO proteins as Src/Csk scaffolds potentially involved in the regulation of Src transformation.     

Identification and characterization of fragment binding sites for allosteric ligand design using the site identification by ligand competitive saturation hotspots approach (SILCS-Hotspots)

BackgroundFragment-based ligand design is used for the development of novel ligands that target macromolecules, most notably proteins. Central to its success is the identification of fragment binding sites that are spatially adjacent such that fragments occupying those sites may be linked to create drug-like ligands. Current experimental and computational approaches that address this problem typically identify only a limited number of sites as well as use a limited number of fragment types.MethodsThe site-identification by ligand competitive saturation (SILCS) approach is extended to the identification of fragment bindings sites, with the method termed SILCS-Hotspots. The approach involves precomputation of the SILCS FragMaps following which the identification of Hotspots, performed by identifying of all possible fragment binding sites on the full 3D structure of the protein followed by spatial clustering.ResultsThe SILCS-Hotspots approach identifies a large number of sites on the target protein, including many sites not accessible in experimental structures due to low binding affinities and binding sites on the protein interior. The identified sites are shown to recapitulate the location of known drug-like molecules in both allosteric and orthosteric binding sites on seven proteins including the androgen receptor, the CDK2 and Erk5 kinases, PTP1B phosphatase and three GPCRs; the β2-adrenergic, GPR40 fatty-acid binding and M2-muscarinic receptors. Analysis indicates the importance of considering all possible fragment binding sites, and not just those accessible to experimental methods, when identifying novel binding sites and performing ligand design versus just considering the most favorable sites. The approach is shown to identify a larger number of known binding sites of drug-like molecules versus the commonly used FTMap and Fpocket methods.General significanceThe present results indicate the potential utility of the SILCS-Hotspots approach for fragment-based rational design of ligands, including allosteric modulators.     

Protein stabilization by specific binding of guanidinium to a functional arginine-binding surface on an SH3 domain

Guanidinium hydrochloride (GuHCl) at low concentrations significantly stabilizes the Fyn SH3 domain. In this work, we have demonstrated that this stabilizing effect is manifested through a dramatic (five- to sixfold) decrease in the unfolding rate of the domain with the folding rate being affected minimally. This behavior contrasts to the effect of NaCl, which stabilizes this domain by accelerating the folding rate. These data imply that the stabilizing effect of GuHCl is not predominantly ionic in nature. Through NMR studies, we have identified a specific binding site for guanidinium, and we have determined a dissociation constant of 90 mM for this interaction. The guanidinium-binding site overlaps with a functionally important arginine-binding pocket on the domain surface, and we have shown that GuHCl is a specific inhibitor of the peptide-binding activity of the domain. A different SH3 domain possessing a similar arginine-binding pocket is also thermodynamically stabilized by GuHCl. These data suggest that many proteins that normally interact with arginine-containing ligands may also be able to specifically interact with guanidinium. Thus, some caution should be used when using GuHCl as a denaturant in protein folding studies. Since arginine-mediated interactions are often important in the energetics of protein-protein interactions, our observations could be relevant for the design of small molecule inhibitors of protein-protein interactions.     

Evaluation of fluorescence-based thermal shift assays for hit identification in drug discovery

The fluorescence-based thermal shift assay is a general method for identification of inhibitors of target proteins from compound libraries. Using an environmentally sensitive fluorescent dye to monitor protein thermal unfolding, the ligand-binding affinity can be assessed from the shift of the unfolding temperature (Delta Tm) obtained in the presence of ligands relative to that obtained in the absence of ligands. In this article, we report that the thermal shift assay can be conducted in an inexpensive, commercially available device for temperature control and fluorescence detection. The binding affinities obtained from thermal shift assays are compared with the binding affinities measured by isothermal titration calorimetry and with the IC(50) values from enzymatic assays. The potential pitfalls in the data analysis of thermal shift assays are also discussed.     

Proteomic identification of brain proteins that interact with dynein light chain LC8

Cytoplasmic dynein is a large minus end-directed microtubule motor that translocates cargos towards the minus end of microtubules. Light chain 8 of the dynein machinery (LC8) has been reported to interact with a large variety of proteins that possess K/RSTQT or GIQVD motifs in their sequence, hence permitting their transport in a retrograde manner. Yeast two-hybrid analysis has revealed that in brain, LC8 associates directly with several proteins such as neuronal nitric oxide synthase, guanylate kinase domain-associated protein and gephyrin. In this work, we report the identification of over 40 polypeptides, by means of a proteomic approach, that interact with LC8 either directly or indirectly. Many of the neuronal proteins that we identified cluster at the post-synaptic terminal, and some of them such as phosphofructokinase, lactate dehydrogenase or aldolase are directly involved in glutamate metabolism. Other pool of proteins identified displayed the LC8 consensus binding motif. Finally, recombinant LC8 was produced and a library of overlapping dodecapeptides (pepscan) was employed to map the LC8 binding site of some of the proteins that were previously identified using the proteomic approach, hence confirming binding to the consensus binding sites.     

DynaBiS: A hierarchical sampling algorithm to identify flexible binding sites for large ligands and peptides

Knowing the ligand or peptide binding site in proteins is highly important to guide drug discovery, but experimental elucidation of the binding site is difficult. Therefore, various computational approaches have been developed to identify potential binding sites in protein structures. However, protein and ligand flexibility are often neglected in these methods due to efficiency considerations despite the recognition that protein–ligand interactions can be strongly affected by mutual structural adaptations. This is particularly true if the binding site is unknown, as the screening will typically be performed based on an unbound protein structure. Herein we present DynaBiS, a hierarchical sampling algorithm to identify flexible binding sites for a target ligand with explicit consideration of protein and ligand flexibility, inspired by our previously presented flexible docking algorithm DynaDock. DynaBiS applies soft-core potentials between the ligand and the protein, thereby allowing a certain protein–ligand overlap resulting in efficient sampling of conformational adaptation effects. We evaluated DynaBiS and other commonly used binding site identification algorithms against a diverse evaluation set consisting of 26 proteins featuring peptide as well as small ligand binding sites. We show that DynaBiS outperforms the other evaluated methods for the identification of protein binding sites for large and highly flexible ligands such as peptides, both with a holo or apo structure used as input.     

Pushing, pulling and trapping--modes of motor protein supported protein translocation

Protein translocation across the cellular membranes is an ubiquitous and crucial activity of cells. This process is mediated by translocases that consist of a protein conducting channel and an associated motor protein. Motor proteins interact with protein substrates and utilize the free energy of ATP binding and hydrolysis for protein unfolding, translocation and unbinding. Since motor proteins are found either at the cis- or trans-side of the membrane, different mechanisms for translocation have been proposed. In the Power stroke model, cis-acting motors are thought to push, while trans-motors pull on the substrate protein during translocation. In the Brownian ratchet model, translocation occurs by diffusion of the unfolded polypeptide through the translocation pore while directionality is achieved by trapping and refolding. Recent insights in the structure and function of the molecular motors suggest that different mechanisms can be employed simultaneously.