Biomedical subjects

Hadar Benyamini

Publications and source records attributed to Hadar Benyamini.

10 recordsLinked to original sources

PubMed2005

Combinatorial docking approach for structure prediction of large proteins and multi-molecular assemblies.

Protein folding and protein binding are similar processes. In both, structural units combinatorially associate with each other. In the case of folding, we mostly handle relatively small units, building blocks or domains, that are covalently linked. In the case of multi-molecular binding, the subunits are relatively large and are associated only by non-covalent bonds. Experimentally, the difficulty in the determination of the structures of such large assemblies increases with the complex size and the number of components it contains. Computationally, the prediction of the structures of multi-molecular complexes has largely not been addressed, probably owing to the magnitude of the combinatorial complexity of the problem. Current docking algorithms mostly target prediction of pairwise interactions. Here our goal is to predict the structures of multi-unit associations, whether these are chain-connected as in protein folding, or separate disjoint molecules in the assemblies. We assume that the structures of the single units are known, either through experimental determination or modeling. Our aim is to combinatorially assemble these units to predict their structure. To address this problem we have developed CombDock. CombDock is a combinatorial docking algorithm for the structural units assembly problem. Below, we briefly describe the algorithm and present examples of its various applications to folding and to multi-molecular assemblies. To test the robustness of the algorithm, we use inaccurate models of the structural units, derived either from crystal structures of unbound molecules or from modeling of the target sequences. The algorithm has been able to predict near-native arrangements of the input structural units in almost all of the cases, suggesting that a combinatorial approach can overcome the imperfect shape complementarity caused by the inaccuracy of the models. In addition, we further show that through a combinatorial docking strategy it is possible to enhance the predictions of pairwise interactions involved in a multi-molecular assembly.

Algorithms↗

PubMed2005

Fibril modelling by sequence and structure conservation analysis combined with protein docking techniques: beta(2)-microglobulin amyloidosis.

Obtaining atomic resolution structural models of amyloid fibrils is currently impossible, yet crucial for our understanding of the amyloid mechanism. Different pathways in the transformation of a native globular domain to an amyloid fibril invariably involve domain destabilization. Hence, locating the unstable segments of a domain is important for understanding its amyloidogenic transformation and possibly control it. Since relative conservation is suggested to relate to local stability, we performed an extensive, sequence and structure conservation analysis of the beta(2)-microglobulin (beta(2)-m) domain. Our dataset include 51 high resolution structures belonging to the "C1 set domain" family and 132 clustered PSI-BLAST search results. Segments of the beta(2)-m domain corresponding to strands A (residues 12-18), D (45-55) and G (91-95) were found to be less conserved and stable, while the central strands B (residues 22-28), C (36-41), E (62-70) and F (78-83) were found conserved and stable. Our findings are supported by accumulating observations from various experimental methods, including urea denaturation, limited proteolysis, H/D exchange and structure determination by both NMR and X-ray crystallography. We used our conservation findings together with experimental literature information to suggest a structural model for the polymerized unit of beta(2)-m. Pairwise protein docking and subsequent monomer stacking in the same manner suggest a fibril model consistent with the cross-beta structure.

Amyloid↗

PubMed2005

Prediction of multimolecular assemblies by multiple docking.

The majority of proteins function when associated in multimolecular assemblies. Yet, prediction of the structures of multimolecular complexes has largely not been addressed, probably due to the magnitude of the combinatorial complexity of the problem. Docking applications have traditionally been used to predict pairwise interactions between molecules. We have developed an algorithm that extends the application of docking to multimolecular assemblies. We apply it to predict quaternary structures of both oligomers and multi-protein complexes. The algorithm predicted well a near-native arrangement of the input subunits for all cases in our data set, where the number of the subunits of the different target complexes varied from three to ten. In order to simulate a more realistic scenario, unbound cases were tested. In these cases the input conformations of the subunits are either unbound conformations of the subunits or a model obtained by a homology modeling technique. The successful predictions of the unbound cases, where the input conformations of the subunits are different from their conformations within the target complex, suggest that the algorithm is robust. We expect that this type of algorithm should be particularly useful to predict the structures of large macromolecular assemblies, which are difficult to solve by experimental structure determination.

Algorithms↗

PubMed2003

Taking geometry to its edge: fast unbound rigid (and hinge-bent) docking.

We present a very efficient rigid "unbound" soft docking methodology, which is based on detection of geometric shape complementarity, allowing liberal steric clash at the interface. The method is based on local shape feature matching, avoiding the exhaustive search of the 6D transformation space. Our experiments at CAPRI rounds 1 and 2 show that although the method does not perform an exhaustive search of the 6D transformation space, the "correct" solution is never lost. However, such a solution might rank low for large proteins, because there are alternatives with significantly larger geometrically compatible interfaces. In many cases this problem can be resolved by successful a priori focusing on the vicinity of potential binding sites as well as the extension of the technique to flexible (hinge-bent) docking. This is demonstrated in the experiments performed as a lesson from our CAPRI experience.

Algorithms↗

PubMed2003

Beta2-microglobulin amyloidosis: insights from conservation analysis and fibril modelling by protein docking techniques.

Current data suggest that globular domains may form amyloids via different mechanisms. Nevertheless, there are indications that the initiation of the process takes place invariably in the less stable segments of a protein domain. We have studied the sequence and structural conservation of beta(2)-microglobulin that deposits into fibrils in dialysis-related amyloidosis. The dataset includes 51 high-resolution non-redundant structures of the antibody constant domain-like proteins (C1) and 132 related sequences. We describe a set of 30 conserved residues. Among them, 23 are conserved structurally, 16 are conserved sequentially and nine are conserved both sequentially and structurally. Strands A (12-18), G (91-95) and D (45-55) are the less conserved and stable segments of the domain, while strands B (22-28), C (36-41), E (62-70) and F (78-83) are the conserved and stable segments. We find that the conserved residues form a cluster with a network of interactions. The observed pattern of conservation is consistent with experimental data including H/D exchange, urea denaturation and limited proteolysis that suggest that strands A and G do not participate in the amyloid fibril. Additionally, the low conservation of strand D is consistent with the observation that this strand may acquire different conformations as seen in crystal structures of bound and isolated beta(2)-microglobulin. We used a docking technique to suggest a model for a fibril via stacking of beta(2)-microglobulin monomers. Our analysis suggests that the favored monomer building block for fibril elongation is the conformation of the isolated beta(2)-microglobulin, without the beta-bulge on strand D and without strands A and G participating in the fibril beta-sheet structure. This monomer retains all the conserved residues and their network of interactions, increasing the likelihood of its existence in solution. The inter-strand interaction between the two (monomer) building blocks forms a new continuous beta-sheet such that addition of monomers results in a fibril model that has the characteristic cross-beta structure.

Amino Acid Sequence↗

PubMed2003

Conservation and amyloid formation: a study of the gelsolin-like family.

The mechanism through which globular proteins transform into amyloid fibrils is still not understood. Here we analyze the structure and sequence conservation to assess the differential stability of segments from two structurally related protein families: the amyloidogenic gelsolin-like and its structurally related cofilin-like. The two families belong to the actin depolymerizing proteins, with a central beta-sheet stacked between 2 and 4 alpha-helices. Although sequentially remote, the two families share regions of high and low conservation and stability. Our results show a highly conserved hydrophobic and aromatic cluster, located at a central buried beta-hairpin. The geometry of the aromatic residues with respect to each other is strictly conserved, suggesting involvement in strand registering and beta-sheet stabilization. Consistent with experiment, we find a region of weak conservation and stability at one of the exposed beta-strands (strand B in the gelsolin-like family). This region was recently found to be affected by a point mutation-mediated destabilization of the human gelsolin domain 2, which facilitates the first proteolytic event in the formation of the amyloidogenic fragment. Thus, both experimental and computational conservation analyses suggest that this unstable region may constitute a first step in amyloid formation. Our analysis uses a recently developed multiple-structure comparison algorithm in which molecules are aligned simultaneously.

Actin Depolymerizing Factors↗

PubMed2003

Protein structure prediction via combinatorial assembly of sub-structural units.

Following the hierarchical nature of protein folding, we propose a three-stage scheme for the prediction of a protein structure from its sequence. First, the sequence is cut to fragments that are each assigned a structure. Second, the assigned structures are combinatorially assembled to form the overall 3D organization. Third, highly ranked predicted arrangements are completed and refined. This work focuses on the second stage of this scheme: the combinatorial assembly. We present CombDock, a combinatorial docking algorithm. CombDock gets an ordered set of protein sub-structures and predicts the inter-contacts that define their overall organization. We reduce the combinatorial assembly to a graph-theory problem, and give a heuristic polynomial solution to this computationally hard problem. We applied CombDock to various examples of structural units of two types: protein domains and building blocks, which are relatively stable sub-structures of domains. Moreover, we tested CombDock using increasingly distorted input, where the native structural units were replaced by similarly folded units extracted from homologous proteins and, in the more difficult cases, from globally unrelated proteins. The algorithm is robust, showing low sensitivity to input distortion. This suggests that CombDock is a useful tool in protein structure prediction that may be applied to large target proteins.

Algorithms↗

PubMed2003

Multiple structural alignment by secondary structures: algorithm and applications.

We present MASS (Multiple Alignment by Secondary Structures), a novel highly efficient method for structural alignment of multiple protein molecules and detection of common structural motifs. MASS is based on a two-level alignment, using both secondary structure and atomic representation. Utilizing secondary structure information aids in filtering out noisy solutions and achieves efficiency and robustness. Currently, only a few methods are available for addressing the multiple structural alignment task. In addition to using secondary structure information, the advantage of MASS as compared to these methods is that it is a combination of several important characteristics: (1) While most existing methods are based on series of pairwise comparisons, and thus might miss optimal global solutions, MASS is truly multiple, considering all the molecules simultaneously; (2) MASS is sequence order-independent and thus capable of detecting nontopological structural motifs; (3) MASS is able to detect not only structural motifs, shared by all input molecules, but also motifs shared only by subsets of the molecules. Here, we show the application of MASS to various protein ensembles. We demonstrate its ability to handle a large number (order of tens) of molecules, to detect nontopological motifs and to find biologically meaningful alignments within nonpredefined subsets of the input. In particular, we show how by using conserved structural motifs, one can guide protein-protein docking, which is a notoriously difficult problem. MASS is freely available at http://bioinfo3d.cs.tau.ac.il/MASS/.

Algorithms↗

PubMedDate not supplied

Formation and characterization of stable human serum albumin-tris-malonic acid [C60]fullerene complex.

The preparation and characterization of the stable human serum albumin (HSA)-C3 isomer of tris-malonic acid [C60]fullerene complex is reported. Other than the anti-fullerene antibody, a stable protein-fullerene complex with a native protein has never been observed. This study may provide valuable answers to the growing concern regarding the effects of carbonaceous nanomaterials on human health on one hand and, on the other, may lead to the development of novel antioxidant therapeutic agents, radiopharmaceuticals, and components for bioelectronic devices.

Chromatography, Gel↗

PubMedDate not supplied

Interaction of c(60)-fullerene and carboxyfullerene with proteins: docking and binding site alignment.

The unique properties of fullerenes have raised the interest of using them for biomedical applications. Within this framework, the interactions of fullerenes with proteins have been an exciting research target, yet little is known about how native proteins can bind fullerenes, and what is the nature of these interactions. Moreover, though some proteins have been shown to interact with fullerenes, up to date, no crystal structure of such complexes was obtained. Here we report docking studies aimed at examining the interactions of fullerene in two forms (C60 nonsubstituted fullerene and carboxyfullerene) with four proteins that are known to bind fullerene derivatives: HIV protease, fullerene-specific antibody, human serum albumin, and bovine serum albumin. Our work provides docking models with detailed binding pockets information, which closely match available experimental data. We further compare the predicted binding sites using a novel multiple binding site alignment method. A high similarity between the physicochemical properties and surface geometry was found for fullerene's binding sites of HIV protease and the human and bovine serum albumins.

Amino Acid Sequence↗