Recognition Of Binding Sites Research Articles

Binding Site Specificity and Factor Redundancy in Activator Protein-1-driven Human Papillomavirus Chromatin-dependent Transcription

Activator protein-1 (AP-1) regulates diverse gene responses triggered by environmental cues and virus-induced cellular stress. Although many signaling events leading to AP-1 activation have been described, the fundamental features underlying binding site selection and factor recruitment of dimeric AP-1 complexes to their target genes remain mostly uncharacterized. Using recombinant full-length human AP-1 dimers formed between c-Jun and Fos family members (c-Fos, FosB, Fra-1, Fra-2) for DNA binding and transcriptional analysis, we found that each of these AP-1 complex exhibits differential activity for distinct non-consensus AP-1 sites present in human papillomavirus (HPV), and each AP-1 complex is capable of activating transcription from in vitro-reconstituted HPV chromatin in a p300- and acetyl-CoA-dependent manner. Transcription from HPV chromatin requires AP-1-dependent and contact-driven recruitment of p300. Acetylation of dimeric AP-1 complexes by p300 enhances AP-1 binding to DNA. Using a human C-33A cervical cancer-derived cell line harboring the episomal HPV type 11 genome, we illustrate binding site selectivity recognized by c-Jun, JunB, JunD, and various Fos family members in a combinatorial and unique pattern, highlighting the diversity and importance of non-canonical binding site recognition by various AP-1 family proteins.

Analysis of data on large-scale chromatin immunoprecipitation by recognition of transcription factor binding sites

Chromatin immunoprecipitation followed by mass parallel sequencing of the precipitated fragments (ChIP-Seq) is broadly used for detailed investigation of the distribution of various transcription factor binding sites over the whole genome. The ChIP-Seq profiles obtained by immunoprecipitation of mouse liver chromatin with antibodies against the FoxA2 transcription factor [Wederell et al., 2008] were analyzed by our methods of recognition of FoxA binding sites. The following classification of locus profiles was proposed on the basis of analysis. (1)Unimodal loci (possessing a single peak) with length below 600 bp. These loci are likely to be formed by a single FoxA binding site. (2) Multimodal loci (possessing two or more distinct peaks) of lengths over 600 bp and all longer loci. Each locus of this group is likely to be composed of numerous single sites.

Use of structural DNA properties for the prediction of transcription-factor binding sites in Escherichia coli

Recognition of genomic binding sites by transcription factors can occur through base-specific recognition, or by recognition of variations within the structure of the DNA macromolecule. In this article, we investigate what information can be retrieved from local DNA structural properties that is relevant to transcription factor binding and that cannot be captured by the nucleotide sequence alone. More specifically, we explore the benefit of employing the structural characteristics of DNA to create binding-site models that encompass indirect recognition for the Escherichia coli model organism. We developed a novel methodology [Conditional Random fields of Smoothed Structural Data (CRoSSeD)], based on structural scales and conditional random fields to model and predict regulator binding sites. The value of relying on local structural-DNA properties is demonstrated by improved classifier performance on a large number of biological datasets, and by the detection of novel binding sites which could be validated by independent data sources, and which could not be identified using sequence data alone. We further show that the CRoSSeD-binding-site models can be related to the actual molecular mechanisms of the transcription factor DNA binding, and thus cannot only be used for prediction of novel sites, but might also give valuable insights into unknown binding mechanisms of transcription factors.

A global optimization algorithm for protein surface alignment

BackgroundA relevant problem in drug design is the comparison and recognition of protein binding sites. Binding sites recognition is generally based on geometry often combined with physico-chemical properties of the site since the conformation, size and chemical composition of the protein surface are all relevant for the interaction with a specific ligand. Several matching strategies have been designed for the recognition of protein-ligand binding sites and of protein-protein interfaces but the problem cannot be considered solved.ResultsIn this paper we propose a new method for local structural alignment of protein surfaces based on continuous global optimization techniques. Given the three-dimensional structures of two proteins, the method finds the isometric transformation (rotation plus translation) that best superimposes active regions of two structures. We draw our inspiration from the well-known Iterative Closest Point (ICP) method for three-dimensional (3D) shapes registration. Our main contribution is in the adoption of a controlled random search as a more efficient global optimization approach along with a new dissimilarity measure. The reported computational experience and comparison show viability of the proposed approach.ConclusionsOur method performs well to detect similarity in binding sites when this in fact exists. In the future we plan to do a more comprehensive evaluation of the method by considering large datasets of non-redundant proteins and applying a clustering technique to the results of all comparisons to classify binding sites.

Conserved regions of the Plasmodium falciparum rhoptry-associated protein 3 mediate specific host-pathogen interactions during invasion of red blood cells

Invasion of red blood cells (RBCs) by the Plasmodium falciparum malaria merozoite is mediated by parasite surface molecules and proteins contained within apical organelles that are capable of recognizing receptors on the membrane of RBCs. The identification and characterization of these P. falciparum invasion-associated proteins is the first step for unveiling potential new drug and vaccine target molecules to eradicate this deadly disease. Among the exclusive set of malarial vaccine candidates, the members of the rhoptry-associated protein (RAP) family have been associated with the parasite's binding to and invasion of RBCs. Remarkably, the third member of this family (named RAP-3) has been recently detected on the surface of non-infected RBCs exposed to free merozoites, therefore suggesting the participation of this protein during RBC infection. In this study, the sequence of RAP-3 was finely mapped using synthetic peptides in order to identify which are the specific binding regions involved in RAP3–RBC interactions. Two high-activity binding peptides (HABPs) established high affinity interactions with RBC surface molecules of about 27–90 kDa, which were differentially affected by different enzymatic treatments. RAP-1 and RAP-2 HABPs inhibited binding of RAP-3 HABPs to different extents, thus suggesting the recognition of similar binding sites on RBC membrane, as well as ability of RAP-3 HABPs to inhibit P. falciparum infection in vitro. Altogether, these functional analyses of RAP-3 HABPs strongly suggest a potential role for this protein in RBC invasion, and highlight its HABPs as potential targets to develop a fully protective minimal subunit-based malarial vaccine.

Hydrophilicity Matching – A Potential Prerequisite for the Formation of Protein-Protein Complexes in the Cell

A binding event between two proteins typically consists of a diffusional search of binding partners for one another, followed by a specific recognition of the compatible binding sites resulting in the formation of the complex. However, it is unclear how binding partners find each other in the context of the crowded, constantly fluctuating, and interaction-rich cellular environment. Here we examine the non-specific component of protein-protein interactions, which refers to those physicochemical properties of the binding partners that are independent of the exact details of their binding sites, but which can affect their localization or diffusional search for one another. We show that, for a large set of high-resolution experimental 3D structures of binary, transient protein complexes taken from the DOCKGROUND database, the binding partners display a surprising, statistically significant similarity in terms of their total hydration free energies normalized by a size-dependent variable. We hypothesize that colocalization of binding partners, even within individual cellular compartments such as the cytoplasm, may be influenced by their relative hydrophilicity, potentially in response to local hydrophilic gradients.

Selective probing of a NADPH site controlled light‐induced enzymatic catalysis

Achieving molecular recognition of NADPH binding sites is a compelling strategy to control many redox biological processes. The NADPH sites recognize the ubiquitous NADPH cofactor via highly conserved binding interactions, despite differences in the regulation of the hydride transfer in redox active proteins. We recently developed a photoactive NADPH substitute, called nanotrigger NT synchronizing the initiation of enzymatic catalysis of the endothelial NO-synthase (eNOS) with a laser pulse. Spatial and temporal control of enzymatic activity by such a designed light-driven activator would benefit from achieving molecular selectivity, i.e. activation of a single NADPH-mediated enzyme.In this work, we probe the ability of NT to discriminate between two NADPH sites with light. The selected NADPH sites belong to dihydrofolate reductase dihydrofolate reductase enzyme (DHFR) and endothelial NO-synthase (eNOS). Ultrafast kinetics showed that NT could not activate DHFR catalysis with a laser pulse in contrast with the observed trigger of eNOS catalysis leading to NO formation. Homology modelling, molecular dynamics simulations showed that NT discriminated between the two NADPH sites by different donor to acceptor distances and by local steric effects hindering light activation of DHFR catalysis. The data suggested that the narrow NADPH site required a tight fit of the nanotrigger at a suitable distance/angle to the electron acceptor for a specific activation of the catalysis. The ability of the nanotrigger to activate eNOS combined with a low reactivity in unfavourable NADPH sites makes NT a highly promising tool for targeting eNOS in endothelial cells with a laser pulse.

Estrogen Receptors Recruit SMRT and N-CoR Corepressors through Newly Recognized Contacts between the Corepressor N Terminus and the Receptor DNA Binding Domain

Estrogen receptors (ERs) are hormone-regulated transcription factors that regulate key aspects of reproduction and development. ERs are unusual in that they do not typically repress transcription in the absence of hormone but instead possess otherwise cryptic repressive functions that are revealed upon binding to certain hormone antagonists. The roles of corepressors in the control of these aspects of ER function are complex and incompletely understood. We report here that ERs recruit SMRT through an unusual mode of interaction involving multiple contact surfaces. Two surfaces of SMRT, located at the N- and C-terminal domains, contribute to the recruitment of the corepressor to ERs in vitro and are crucial for the corepressor modulation of ER transcriptional activity in cells. These corepressor surfaces contact the DNA binding domain of the receptor, rather than the hormone binding domain previously elucidated for other corepressor/nuclear receptor interactions, and are modulated by the ER's recognition of cognate DNA binding sites. Several additional nuclear receptors, and at least one other corepressor, N-CoR, share aspects of this novel mode of corepressor recruitment. Our results highlight a molecular mechanism that helps explain several previously paradoxical aspects of ER-mediated transcriptional antagonism, which may have a broader significance for an understanding of target gene repression by other nuclear receptors.

Unifying generative and discriminative learning principles.

BackgroundThe recognition of functional binding sites in genomic DNA remains one of the fundamental challenges of genome research. During the last decades, a plethora of different and well-adapted models has been developed, but only little attention has been payed to the development of different and similarly well-adapted learning principles. Only recently it was noticed that discriminative learning principles can be superior over generative ones in diverse bioinformatics applications, too.ResultsHere, we propose a generalization of generative and discriminative learning principles containing the maximum likelihood, maximum a posteriori, maximum conditional likelihood, maximum supervised posterior, generative-discriminative trade-off, and penalized generative-discriminative trade-off learning principles as special cases, and we illustrate its efficacy for the recognition of vertebrate transcription factor binding sites.ConclusionsWe find that the proposed learning principle helps to improve the recognition of transcription factor binding sites, enabling better computational approaches for extracting as much information as possible from valuable wet-lab data. We make all implementations available in the open-source library Jstacs so that this learning principle can be easily applied to other classification problems in the field of genome and epigenome analysis.

Dynamics of DNA-Bending in Binding Site Recognition by IHF

We present recent progress in monitoring the DNA bending dynamics in site-specific recognition by IHF, an architectural protein from E. coli that recognizes several sites on phage λ DNA, primarily by indirect readout. IHF bends the DNA at its cognate site by nearly 180° over ∼35 bp, creating two kinks in DNA stabilized by intercalation of conserved proline residues located on two β-ribbon arms that wrap around the DNA.Previous stopped-flow and laser T-jump measurements on IHF binding to its cognate H’site revealed that DNA bending in the complex occurs on ∼1-10 ms, similar to the time-scales for thermal disruption of a single base pair in B-DNA. Here we find that inserted mismatches that increase the DNA flexibility at the site of the kinks accelerate the bending rates by nearly the same factor as the corresponding increase in binding affinity. On the other hand, modifications in DNA away from the site of the kink, as well as mutations in IHF, designed to perturb specific protein-DNA contacts, leave the bending rates unchanged despite a ∼60-100-fold decrease in the binding affinity. These results support our earlier conclusion that in the transition state ensemble separating the nonspecific from the specific complex the DNA is bent/kinked, but protein-DNA interactions that stabilize the complex have not yet been made.Our measurements also reveal a rapid (∼100 microseconds) phase in the bending kinetics. In contrast to the relaxation rates for the slow phase, which are affected by modifications in the DNA at the site of the kinks, the relaxation rates for the fast phase appear to be unaffected. This rapid phase may correspond to the wrapping/unwrapping of the β-arms of the protein in a nonspecific binding mode, as IHF scans potential binding sites on genomic DNA.

Pathogenic and Epiphenomenal Anti-DNA Antibodies in SLE

The discoveries of natural and the development of manufactured highly efficient catalytic antibodies (abzymes) opens the door to many practical applications. One of the most fascinating is the use of such antibodies in human therapy and prevention (vaccination), of cancer, AIDS, autoimmune diseases. A special entity of naturally occurring DNA hydrolytic anti-DNA antibodies is emerging within past decades linked to autoimmune and lymphoproliferative disorders, such as systemic lupus erythematosus (SLE), multiple sclerosis (MS), Sjogren Syndrome (SS), B - Chronic lymphocytic leucosis (B-CLL), and Multiple Myeloma (MM). The origin of the antibodies is unknown. The underlying mechanisms of these activities are suggested to be penetration into the living cells and translocation in the nucleus, with recognition of the specific binding sites at particular (ss or ds) DNA. There are controversies in the literature whether hydrolysis is a sequence-specific event. The interplay between anti-DNA antibodies and DNA is not yet elucidated. This molecular “twist” also suggests that anti-DNA antibodies with DNA hydrolytic capacity could be the organism's immune response to a microbial attack, with microbial DNA, or specific genes within microbial DNA sequence, as a target for neutralization. The catalytic antibody-based approach can become a key tool in selective chemotherapeutic strategies.

Site‐specific inhibition of integrin αvβ3‐vitronectin association by a ser‐asp‐val sequence through an Arg‐Gly‐Asp‐binding site of the integrin

A functional proteomic technology using protein chip and molecular simulation was used to demonstrate a novel biomolecular interaction between P11, a peptide containing the Ser-Asp-Val (SDV) sequence and integrin alpha v beta 3. P11 (HSDVHK) is a novel antagonistic peptide of integrin alpha v beta 3 screened from hexapeptide library through protein chip system. An in silico docking study and competitive protein chip assay revealed that the SDV sequence of P11 is able to create a stable inhibitory complex onto the vitronectin-binding site of integrin alpha v beta 3. The Arg-Gly-Asp (RGD)-binding site recognition by P11 was site specific because the P11 was inactive for the complex formation of a denatured form of integrin-vitronectin. P11 showed a strong antagonism against alpha v beta 3-GRGDSP interaction with an IC(50) value of 25.72+/-3.34 nM, whereas the value of GRGDSP peptide was 1968.73+/-444.32 nM. The binding-free energies calculated from the docking simulations for each P11 and RGD peptide were -3.99 and -3.10 kcal/mol, respectively. The free energy difference between P11 and RGD corresponds to approximately a 4.5-fold lower K(i) value for the P11 than the RGD peptide. The binding orientation of the docked P11 was similar to the crystal structure of the RGD in alpha v beta 3. The analyzed docked poses suggest that a divalent metal-ion coordination was a common driving force for the formation of both SDV/alpha v beta 3 and RGD/alpha v beta 3 complexes. This is the first report on the specific recognition of the RGD-binding site of alpha v beta 3 by a non-RGD containing peptide using a computer-assisted proteomic approach.

Conserved structural features of ETS domain-DNA complexes

ETS proteins comprise a family of widespread transcription factors regulating expression of many animal genes. Structurally ETS proteins are characterized by conserved DNA-binding ETS domain, recognizing DNA sequences with trinucleotide GGA. Comparative analysis of structural features of ETS domain-DNA complexes was carried out and conserved contacts, important in terms of interaction stability and specificity were identified. The analysis revealed 9 conserved hydrogen bonds with DNA backbone phosphates and 2 conserved bidentate hydrogen bonds with DNA major groove atoms, one conserved hydrophobic cluster on protein-DNA interface, important for binding site recognition, and 12 conserved water molecules, possibly mediating ETS domain-DNA interaction. The results are represented in specialized data bank of protein-DNA complexes NPIDB.

Recognition of AT-Rich DNA Binding Sites by the MogR Repressor

The MogR transcriptional repressor of the intracellular pathogen Listeria monocytogenes recognizes AT-rich binding sites in promoters of flagellar genes to downregulate flagellar gene expression during infection. We describe here the 1.8 A resolution crystal structure of MogR bound to the recognition sequence 5' ATTTTTTAAAAAAAT 3' present within the flaA promoter region. Our structure shows that MogR binds as a dimer. Each half-site is recognized in the major groove by a helix-turn-helix motif and in the minor groove by a loop from the symmetry-related molecule, resulting in a "crossover" binding mode. This oversampling through minor groove interactions is important for specificity. The MogR binding site has structural features of A-tract DNA and is bent by approximately 52 degrees away from the dimer. The structure explains how MogR achieves binding specificity in the AT-rich genome of L. monocytogenes and explains the evolutionary conservation of A-tract sequence elements within promoter regions of MogR-regulated flagellar genes.

Replacement of Tyr-SO3H by a p-carboxymethyl-phenylalanine in a CCK8-derivative preserves its high affinity for CCK-B receptor.

The sulfated tyrosine present in the sequence of CCK8 Asp26-Tyr(SO3H)-Met-Gly-Trp-Met-Asp-PheNH2, seems to play a critical role in the recognition of CCK-A binding sites. In this work, we have investigated whether the presence of an anionic charge on the tyrosine moiety is strictly necessary and whether the sulfate moiety interacts with a divalent cation in the receptor subsite. For this purpose, the novel amino acids (L,D)Phe(p-CH2CO2H) and (L,D) Phe(p-CH2CONHOH), as well as their L-resolved forms were introduced into the sequence of Ac[X27, Nle28, Nle31]-CCK27-33 by solid phase method. The biological activities of these new derivatives were compared to two almost equiactive analogues of CCK8, Ac[Phe(p-CH2SO3H)27, Nle28, Nle31]-CCK27-33 and Boc[Nle28, Nle31]-CCK27-33 (BDNL) and to the nonsulfated analogue of the latter peptide (BDNL NS). All these new CCK-related analogues behave as agonists in stimulating pancreatic amylase release and display high affinity for brain binding sites (KI approximately 3-11 nM) but the only peptides which retain affinity for CCK-A receptors (KI approximately 20 nM) are those containing a p-carboxymethyl phenylalanine. Thus, introduction of this amino acid under an esterified form on the side chain, into specific and potent CCK-B agonists could allow compounds endowed with good bioavailabilities to be obtained.

Genetic algorithm and optimized weight matrix application for peroxisome proliferator response elements recognition: Prerequisites of accuracy growth for wide genome research

Development of reliable transcription factor binding site (TFBS) recognition methods is an important step in the large-scale genome analysis. The most of currently applied methods to predict functional TFBSs are hampered by the high false-positive rates that occur when too few functionally characterised sequences are available and only sequence conservation within a site core is considered. We propose two methods to search for binding sites (BSs) of peroxisome proliferator-activated receptor (PPAR) (peroxisome proliferator response elements, PPREs). The first method is the optimized dinucleotide position weight matrix (PWM) model, the second method represented by SiteGA model that used genetic algorithm with a discriminant function of locally positioned dinucleotides to infer the most important positions and dinucleotides. We used in our analysis two PPRE datasets, consisting of 37 and 98 BSs, correspondingly. We showed that dataset extension improved the accuracy of SiteGA, but not PWM model. Finally we combined both models (PWM and SiteGA) to the dataset of annotated human promoters (EPD). We demonstrated that the larger dataset and the longer window length supported notable growth of accuracies for PWM and SiteGA models. Consequently, a combined PWM and SiteGA application may better restrict the number of potential targets in the EPD promoter dataset.

Transcription factor binding site recognition by regularity matrices based on the natural classification method

A principally new approach to the classifications of nucleotide sequences based on the natural classification concept is proposed. As a result of natural classification of the nucleotide sequences, we obtain regularity matrices, where nucleotides are interconnected by regularities. Method, algorithm and software system DNANatClass for performing the natural classification have been developed. Experimental results comparing weight matrices with regularity matrices are presented. In this experiment, site recognition by regularity matrices appears to be more accurate than by weight matrixes.

Cavity detection and matching for binding site recognition

We developed a suite of methods for the problem of protein binding site recognition, based on a representation of the protein structures by a collection of spin-images. A procedure for cavity detection is coupled with a method previously developed for the recognition of similar regions in two proteins, and applied to the comparison of two protein’s cavities, the all-to-all pairwise comparison of a set of cavities, and the recognition of multiple binding sites in one cavity. All the presented methods can be used to screen large collections of proteins. The detection of cavities in a given protein is often the preliminary step in protein binding site recognition, since binding sites usually lie in cavities. The comparison of two cavities identifies two similar regions in the two cavities, and hints at a common functional structure when one or both regions include a binding site. The all-to-all pairwise comparison of a set of cavities is clustered according to the measure of similarity of the cavities, obtaining a clustering that groups together cavities with the same binding sites, when their structures are similar enough. Recognition of multiple binding sites in one cavity is performed by the comparison of a cavity, called background cavity, with a dataset of cavities, and clustering its residues that match the residues of other cavities in the data set. The four methods are benchmarked on different databases, and their effectiveness is discussed.

Functional characterization of individual genomic condensin-binding sites in Saccharomyces cerevisiae using minichromosome mitotic segregation stability assay

Proper chromatin compaction in mitosis (condensation) is required for equal chromosome distribution and precise genetic information inheritance. Protein complex named condensin is responsible for the mitotic condensation, it also individualizes chromosomes, and ensures chromatin separation between sister chromatids in mitosis as well as proper mitotic spindle tension. Mitotic condensin function depends on recognition of the specific binding sites on the chromosome. Mechanism of condensin binding on the individual sites of the mitotic chromosomes, as well as molecular anatomy of these sites remains to be unclear. Even less known is how condensin binding on the individual sites helps separating chromosomes in anaphase. In current paper using minichromosome test, we analyze seven individual condensin binding sites in Saccharomyces cerevisiae found in previous all-genome CHIP on CHIP screening in our lab. This approach allowed us to find out what was the individual contribution of condensin binding sites in securing mitotic stability of the minichromosomes.

A polymerase chain reaction-based cloning strategy applicable to functional microRNA studies

MicroRNAs (miRNAs) are key regulatory RNAs that act in concert to coordinately control messenger RNA translation through imperfect recognition of multiple specific binding sites (BSs) located in their 3′ untranslated region. Here, we present a polymerase chain reaction-based cloning strategy that allows the rapid and efficient generation of regulatory elements harboring up to 10 miRNA BSs. Amenable for the study of regulatory elements of any multiplicity, such as those recognized by miRNAs and transcription factors, this methodology will facilitate functional miRNA/miRNA BS studies and accelerate discoveries mainly in the field of gene regulation.