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Luis Serrano

Publications and source records attributed to Luis Serrano.

At least 55 records · Page 3Linked to original sources

Stabilization of TRAIL, an all-beta-sheet multimeric protein, using computational redesign.

Protein thermal stability is important for therapeutic proteins, both influencing the pharmacokinetic and pharmacodynamic properties and for stability during production and shelf-life of the final product. In this paper we show the redesign of a therapeutically interesting trimeric all-beta-sheet protein, the cytokine TRAIL (tumor necrosis factor-related apoptosis-inducing ligand), yielding variants with improved thermal stability. A combination of tumor necrosis factor (TNF) ligand family alignment information and the computational design algorithm PERLA was used to propose several mutants with improved thermal stability. The design was focused on non-conserved residues only, thus reducing the use of computational resources. Several of the proposed mutants showed a significant increase in thermal stability as experimentally monitored by far-UV circular dichroism thermal denaturation. Stabilization of the biologically active trimer was achieved by monomer subunit or monomer-monomer interface modifications. A double mutant showed an increase in apparent T(m) of 8 degrees C in comparison with wild-type TRAIL and remained biologically active after incubation at 73 degrees C for 1 h. To our knowledge, this is the first study that improves the stability of a large multimeric beta-sheet protein structure by computational redesign. A similar approach can be used to alter the characteristics of other multimeric proteins, including other TNF ligand family members.

Algorithms↗

Prediction of sequence-dependent and mutational effects on the aggregation of peptides and proteins.

We have developed a statistical mechanics algorithm, TANGO, to predict protein aggregation. TANGO is based on the physico-chemical principles of beta-sheet formation, extended by the assumption that the core regions of an aggregate are fully buried. Our algorithm accurately predicts the aggregation of a data set of 179 peptides compiled from the literature as well as of a new set of 71 peptides derived from human disease-related proteins, including prion protein, lysozyme and beta2-microglobulin. TANGO also correctly predicts pathogenic as well as protective mutations of the Alzheimer beta-peptide, human lysozyme and transthyretin, and discriminates between beta-sheet propensity and aggregation. Our results confirm the model of intermolecular beta-sheet formation as a widespread underlying mechanism of protein aggregation. Furthermore, the algorithm opens the door to a fully automated, sequence-based design strategy to improve the aggregation properties of proteins of scientific or industrial interest.

Algorithms↗

A miniprotein scaffold used to assemble the polyproline II binding epitope recognized by SH3 domains.

SH3 domains are molecular-recognition modules that function by interacting with proteins containing sequences in polyproline II (PPII) conformation. The main limitation in designing short-ligand peptides to interact with these domains is the preservation of this helical arrangement, for which a high content of proline is needed. We have overcome this limitation by using a protein scaffold provided by the avian pancreatic polypeptide (APP), a natural hormone of 36 amino acid residues. The APP protein contains a PPII stretch packed against an alpha-helix. We have designed a structure in which some residues of the APP PPII helix are replaced by a sequence motif, named RP1, which interacts with the SH3 domain of the Abelson tyrosine kinase (Abl-SH3). This design, which we call APP-RP1, is folded and, as shown by circular dichroism, has a structural content similar to that of natural APP (APP-WT). The stability of both miniproteins has been compared by unfolding experiments; the designed APP-RP1 is almost 20 deg. C more stable than the wild-type and has a higher Gibbs energy function. This increase in stability has an entropic origin. Isothermal titration calorimetry and fluorescence spectroscopy show that the thermodynamics of the binding of the APP-RP1 molecule to Abl-SH3 is comparable to that of the shorter RP1 peptide. Furthermore, the mutation by Tyr of two proline residues in APP-RP1, which are essential for the binding of some linear peptides to Abl-SH3, demonstrates the effectiveness of the scaffold in enhancing the variability in the design of high-affinity and high-specificity ligands for any SH3 domain. The application of this strategy may help in the design of ligands for other polyproline-recognition domains such as WW, PX or EVH1, and even for the in vivo application of these miniproteins.

Amino Acid Sequence↗

A comparative study of the relationship between protein structure and beta-aggregation in globular and intrinsically disordered proteins.

A growing number of proteins are being identified that are biologically active though intrinsically disordered, in sharp contrast with the classic notion that proteins require a well-defined globular structure in order to be functional. At the same time recent work showed that aggregation and amyloidosis are initiated in amino acid sequences that have specific physico-chemical properties in terms of secondary structure propensities, hydrophobicity and charge. In intrinsically disordered proteins (IDPs) such sequences would be almost exclusively solvent-exposed and therefore cause serious solubility problems. Further, some IDPs such as the human prion protein, synuclein and Tau protein are related to major protein conformational diseases. However, this scenario contrasts with the large number of unstructured proteins identified, especially in higher eukaryotes, and the fact that the solubility of these proteins is often particularly good. We have used the algorithm TANGO to compare the beta aggregation tendency of a set of globular proteins derived from SCOP and a set of 296 experimentally verified, non-redundant IDPs but also with a set of IDPs predicted by the algorithms DisEMBL and GlobPlot. Our analysis shows that the beta-aggregation propensity of all-alpha, all-beta and mixed alpha/beta globular proteins as well as membrane-associated proteins is fairly similar. This illustrates firstly that globular structures possess an appreciable amount of structural frustration and secondly that beta-aggregation is not determined by hydrophobicity and beta-sheet propensity alone. We also show that globular proteins contain almost three times as much aggregation nucleating regions as IDPs and that the formation of highly structured globular proteins comes at the cost of a higher beta-aggregation propensity because both structure and aggregation obey very similar physico-chemical constraints. Finally, we discuss the fact that although IDPs have a much lower aggregation propensity than globular proteins, this does not necessarily mean that they have a lower potential for amyloidosis.

Algorithms↗

A detailed thermodynamic analysis of ras/effector complex interfaces.

Many cellular functions are based on the interaction and crosstalk of various signaling proteins. Among these, members of the Ras family of small GTP-binding proteins are important for communicating signals into different pathways. In order to answer the question of how binding affinity and specificity is achieved, we analyzed binding energetics on the molecular level, with reference to the available structural data. The interaction of two members of the Ras subfamily with two different effector proteins, namely Raf and RalGDS, were investigated using isothermal titration calorimetry and a fluorescence-based method. Experiments with alanine mutants, located in the complex interfaces, yielded an energy map for the contact areas of the Ras/effector complexes, which could be differentiated into enthalpy and entropy contributions. In addition, by using double mutant cycle analysis, we probed the energetic contribution of selected pairs of amino acid residues. The resulting energy landscapes of the Ras/effector interface areas show a highly different topology when comparing the two effectors, Raf and RalGDS, demonstrating the specificity of the respective interactions. Particularly, we observe a high degree of compensating effects between enthalpy and entropy; differences between these components are much greater than the overall free energy differences. This is observed also when using the software FOLD-X to predict the effect of point mutations on the crystal structures of the different complexes. Prediction of the free energy changes shows a very good correlation with the experimentally observed energies. Furthermore, in line with experimental data, energy decomposition indicates that many different components of large magnitude counteract each other to produce a smaller change in overall free energy, illustrating the importance of long-range electrostatic forces in complex formation.

Amino Acids↗

H-bonding in protein hydration revisited.

H-bonding between protein surface polar/charged groups and water is one of the key factors of protein hydration. Here, we introduce an Accessible Surface Area (ASA) model for computationally efficient estimation of a free energy of water-protein H-bonding at any given protein conformation. The free energy of water-protein H-bonds is estimated using empirical formulas describing probabilities of hydrogen bond formation that were derived from molecular dynamics simulations of water molecules at the surface of a small protein, Crambin, from the Abyssinian cabbage (Crambe abyssinica) seed. The results suggest that atomic solvation parameters (ASP) widely used in continuum hydration models might be dependent on ASA for polar/charged atoms under consideration. The predictions of the model are found to be in qualitative agreement with the available experimental data on model compounds. This model combines the computational speed of ASA potential, with the high resolution of more sophisticated solvation methods.

Crambe Plant↗

Designing proteins from the inside out.

Globular proteins are characterized by the specific and tight packing of hydrophobic side-chains in the so-called "hydrophobic core." Formation of the core is key in folding, stabilization, and conformational specificity. The critical role of hydrophobic cores in maintaining the highly ordered structures present in natural proteins justifies the tremendous efforts devoted to their redesign. Both experimental and computational combinatorial-based approaches have been reported in the last years as powerful protein design tools. These manage to explore large regions of the sequence/conformational space, allowing the search for alternative protein core arrangements displaying native-like properties. The overall results obtained from core design projects have contributed significantly to our present knowledge of protein folding and function. In addition, core design has worked as a benchmark for the development of ambitious protein design projects that nowadays are allowing the de novo design of novel protein structures and functions.

Computer Simulation↗

Short amino acid stretches can mediate amyloid formation in globular proteins: the Src homology 3 (SH3) case.

Protein misfolding and deposition underlie an increasing number of debilitating human disorders. We have shown that model proteins unrelated to disease, such as the Src homology 3 (SH3) domain of the p58alpha subunit of bovine phosphatidyl-inositol-3'-kinase (PI3-SH3), can be converted in vitro into assemblies with structural and cytotoxic properties similar to those of pathological aggregates. By contrast, homologous proteins, such as alpha-spectrin-SH3, lack the capability of forming amyloid fibrils at a measurable rate under any of the conditions we have so far examined. However, transplanting a small sequence stretch (6 aa) from PI3-SH3 to alpha-spectrin-SH3, comprising residues of the diverging turn and adjacent RT loop, creates an amyloidogenic protein closely similar in its behavior to the original PI3-SH3. Analysis of specific PI3-SH3 mutants further confirms the involvement of this region in conferring amyloidogenic properties to this domain. Moreover, the inclusion in this stretch of two consensus residues favored in SH3 sequences substantially inhibits aggregation. These findings show that short specific amino acid stretches can act as mediators or facilitators in the incorporation of globular proteins into amyloid structures, and they support the suggestion that natural protein sequences have evolved in part to code for structural characteristics other than those included in the native fold, such as avoidance of aggregation.

Amino Acid Sequence↗

Structure-based assembly of protein complexes in yeast.

Images of entire cells are preceding atomic structures of the separate molecular machines that they contain. The resulting gap in knowledge can be partly bridged by protein-protein interactions, bioinformatics, and electron microscopy. Here we use interactions of known three-dimensional structure to model a large set of yeast complexes, which we also screen by electron microscopy. For 54 of 102 complexes, we obtain at least partial models of interacting subunits. For 29, including the exosome, the chaperonin containing TCP-1, a 3'-messenger RNA degradation complex, and RNA polymerase II, the process suggests atomic details not easily seen by homology, involving the combination of two or more known structures. We also consider interactions between complexes (cross-talk) and use these to construct a structure-based network of molecular machines in the cell.

Chaperonins↗

The tryptophan switch: changing ligand-binding specificity from type I to type II in SH3 domains.

The ability of certain Src homology 3 (SH3) domains to bind specifically both type I and type II polyproline ligands is perhaps the best characterized, but also the worst understood, example in the family of protein-interaction modules. A detailed analysis of the structural variations in SH3 domains, with respect to ligand-binding specificity, together with mutagenesis of SH3 Fyn tyrosine kinase, reveal the structural basis for types I and II binding specificity by SH3 domains. The conserved Trp in the SH3 binding pocket can adopt two different orientations that, in turn, determine the type of ligand (I or II) able to bind to the domain. The only exceptions are ligands with Leu at positions P(-1) and P(2), that deviate from standard poly-Pro angles. The motion of the conserved Trp depends on the presence of certain residues located in a key position (132 for Fyn), near the binding pocket. SH3 domains placing aromatic residues in this key position are promiscuous. By contrast, those presenting beta-branched or long aliphatic residues block the conserved Trp in one of the two possible orientations, preventing binding in a type I orientation. This is experimentally demonstrated by a single mutation in Fyn SH3 (Y132I) that abolishes type I ligand binding, while preserving binding to type II ligands. Thus, simple conformational changes, governed by simple rules, can have profound effects on protein-protein interactions, highlighting the importance of structural details to predict protein-protein interactions.

Amino Acid Sequence↗

Sequence determinants of amyloid fibril formation.

The establishment of rules that link sequence and amyloid feature is critical for our understanding of misfolding diseases. To this end, we have performed a saturation mutagenesis analysis on the de novo-designed amyloid peptide STVIIE (1). The positional scanning mutagenesis has revealed that there is a position dependence on mutation of amyloid fibril formation and that both very tolerant and restrictive positions to mutation can be found within an amyloid sequence. In this system, mutations that accelerate beta-sheet polymerization do not always lead to an increase of amyloid products. On the contrary, abundant fibrils are typically found for mutants that polymerize slowly. From these experiments, we have extracted a sequence pattern to identify amyloidogenic stretches in proteins. The pattern has been validated experimentally. In silico sequence scanning of amyloid proteins also supports the pattern. Analysis of protein databases has shown that highly amyloidogenic sequences matching the pattern are less frequent in proteins than innocuous amino acid combinations and that, if present, they are surrounded by amino acids that disrupt their aggregating capability (amyloid breakers). This study provides the potential for a proteome-wide scanning to detect fibril-forming regions in proteins, from which molecules can be designed to prevent and/or disrupt this process.

Amino Acid Motifs↗

Monitoring disappearance of monomers and generation of resistance to proteolysis during the formation of the activation domain of human procarboxypeptidase A2 (ADA2h) amyloid fibrils by matrix-assisted laser-desorption ionization-time-of-flight-MS.

The term 'amyloidosis' is used to represent a group of protein misfolding diseases characterized by the polymerization of normally innocuous and soluble proteins or peptides into insoluble proteinaceous deposits. One of the several questions that remain unclear regarding the process of amyloid fibril formation is related to the status of the protein when such a process begins. Protein engineering is one of the selected approaches to study amyloidosis. Characterization of many variants of a protein can give information about why a soluble protein aggregates to form fibrils. In the present study, we report information on the conformational changes that precede the formation of fibrils, monitored by the complementary use of exoproteolysis and matrix-assisted laser-desorption ionization-time-of-flight-MS. This is a novel application of an easy and fast approach. In addition, we used it to evaluate the ability of the model protein ADA2h (activation domain of human procarboxypeptidase A2) and their mutants to generate amyloid fibrils. It could be a useful test to screen protein variants and to study to what extent some physicochemical parameters affect fibrillogenesis.

Amyloid↗

Ligand screening by exoproteolysis and mass spectrometry in combination with computer modelling.

Here, we present a new approach for protein ligand screening based on the use of limited exoproteolysis coupled to MALDI-TOF mass spectrometry, combined with computational modelling and prediction of binding energies. As a test for this combined approach, we have screened a combinatorial library containing 8000 peptides (organized in 60 peptide samples) based on positional scanning format. This library is attached to a poly-Pro framework, and screened against the Abl-SH3 domain. The results obtained demonstrated the validity of the experimental and theoretical approaches in identifying better ligands and in rationalizing the changes in affinity. Exoproteolysis coupled to MALDI-TOF mass spectrometry could be used to screen complex libraries in a fast and efficient way.

Algorithms↗

Identification of protein ligands in complex biological samples using intensity-fading MALDI-TOF mass spectrometry.

The easy detection of biomolecular interactions in complex mixtures using a minimum amount of material is of prime interest in molecular and cellular biology research. In this work, a mass spectrometry MALDI-TOF based approach, which we call intensity-fading (IF MALDI-TOFMS), and which was designed for just such a purpose, is reported. This methodology is based on the use of the MALDI ion intensities to detect quickly the formation of complexes between nonimmobilized biomolecules in which a protein is one of the partners (protein-protein, protein-peptide, protein-organic molecule, and protein-nucleic acid complexes). The complex is detected through the decrease (fading) of the molecular ion intensities of the partners as directly compared to the MALDI mass spectrum of the mixture (problem and control molecules) following the addition of the target molecule. The potential of the approach is examined in several examples of model interactions, mainly involving small nonprotein and protein inhibitors of proteases, at both the qualitative and semiquantitative levels. Using this method, different protein ligands of proteolytic enzymes in total extracts of invertebrate organisms have been identified in a simple way. The proposed procedure should be easily applied to the high-throughput screening of biomolecules, opening a new experimental strategy in functional proteomics.

Animals↗

Hydrogen-exchange stability analysis of Bergerac-Src homology 3 variants allows the characterization of a folding intermediate in equilibrium.

Amide hydrogendeuterium exchange rates have been determined for two mutants of alpha-spectrin Src homology 3 domain (WT), containing an elongated stable (SHH) and unstable (SHA) distal loop. SHA, similarly to WT, follows a two-state transition, whereas SHH apparently folds via a three-state mechanism. Native-state amide hydrogen exchange is effective in ascribing energetic readjustments observed in kinetic experiments to species stabilized within the denatured base and distinguishing those from high-energy barrier crossings. Comparison of DeltaG(ex) and m(ex) parameters for amide protons of these mutants demonstrates the existence of an intermediate and allows the identification of protons protected in this state. The consolidation of a form containing a prefolded long beta-hairpin induces the switch to a three-state mechanism in an otherwise two-state folder. It can be inferred that the unbalanced high stability of individual elements of secondary structure in a polypeptide could ultimately complicate its folding mechanism.

Amino Acid Sequence↗

A thermodynamic and kinetic analysis of the folding pathway of an SH3 domain entropically stabilised by a redesigned hydrophobic core.

The folding thermodynamics and kinetics of the alpha-spectrin SH3 domain with a redesigned hydrophobic core have been studied. The introduction of five replacements, A11V, V23L, M25V, V44I and V58L, resulted in an increase of 16% in the overall volume of the side-chains forming the hydrophobic core but caused no remarkable changes to the positions of the backbone atoms. Judging by the scanning calorimetry data, the increased stability of the folded structure of the new SH3-variant is caused by entropic factors, since the changes in heat capacity and enthalpy upon the unfolding of the wild-type and mutant proteins were identical at 298 K. It appears that the design process resulted in an increase in burying both the hydrophobic and hydrophilic surfaces, which resulted in a compensatory effect upon the changes in heat capacity and enthalpy. Kinetic analysis shows that both the folding and unfolding rate constants are higher for the new variant, suggesting that its transition state becomes more stable compared to the folded and unfolded states. The phi(double dagger-U) values found for a number of side-chains are slightly lower than those of the wild-type protein, indicating that although the transition state ensemble (TSE) did not change overall, it has moved towards a more denatured conformation, in accordance with Hammond's postulate. Thus, the acceleration of the folding-unfolding reactions is caused mainly by an improvement in the specific and/or non-specific hydrophobic interactions within the TSE rather than by changes in the contact order. Experimental evidence showing that the TSE changes globally according to its hydrophobic content suggests that hydrophobicity may modulate the kinetic behaviour and also the folding pathway of a protein.

Amino Acid Substitution↗

Metabolic polymorphisms and the micronucleus frequency in buccal epithelium of adolescents living in an urban environment.

Micronuclei and other biomarkers were evaluated in oral cells from 11- to 16-year-old girls living in a foster home in the central area of México City. Variables analyzed for possible association with these biomarkers include smoking habits, body mass index, metabolic polymorphisms for NAT1 and GSTM1 and whether the cells were obtained from the cheek or pharynx. The results indicated that individuals having the NAT1*10 homozygous genotype showed a significant increase in chromatin buds and binucleated cells. When the damage in the cheek was compared with damage in the pharynx, a significant increase in micronuclei and binucleated cells was found for the latter tissue in all the individuals analyzed.

Adolescent↗

Calculation of mutational free energy changes in transition states for protein folding.

Recent advances in experimental and computational methods have made it possible to determine with considerable accuracy the structures whose formation is rate limiting for the folding of some small proteins-the transition state ensemble, or TSE. We present a method to analyze and validate all-atom models of such structures. The method is based on the comparison of experimental data with the computation of the change in free energy of the TSE resulting from specific mutations. Each mutation is modeled individually in all members of an ensemble of transition state structures using a method originally developed to predict mutational changes in the stability of native proteins. We first apply this method to six proteins for which we have determined the TSEs with a technique that uses experimental mutational data (Phi-values) as restraints in the structure determination and find a highly significant correlation between the calculated free energy changes and those derived from experimental kinetic data. We then use the procedure to analyze transition state structures determined by molecular dynamics simulations of unfolding, again finding a high correlation. Finally, we use the method to estimate changes in folding rates of several hydrophobic core mutants of Fyn SH3. Taken together, these results show that the procedure developed here is a tool of general validity for analyzing, assessing, and improving the quality of the structures of transition states for protein folding.

Amino Acid Sequence↗