Classification of proteins based on the properties of the ligand-binding site: the case of adenine-binding proteins

Comparative analysis of protein binding sites for similar ligands yields information about conserved interactions, relevant for ligand affinity, and variable interactions, which are important for specificity. The pattern of variability can indicate new targets for a pharmacologically validated class of compounds binding to a similar site. A particularly vast group of therapeutically interesting proteins using the same or similar substrates are those that bind adenine-containing ligands. Drug development is focusing on compounds occupying the adenine-binding site and their specificity is an issue of paramount importance. We use a simple scheme to characterize and classify the adenine-binding sites in terms of their intermolecular interactions, and show that this classification does not necessarily correspond to protein classifications based on either sequence or structural similarity. We find that only a limited number of the different hydrogen bond patterns possible for adenine-binding is used, which can be utilized as an effective classification scheme. Closely related protein families usually share similar hydrogen patterns, whereas non-polar interactions are less well conserved. Our classification scheme can be used to select groups of proteins with a similar ligand-binding site, thus facilitating the definition of the properties that can be exploited to design specific inhibitors.     

Classification of staphylococci based on chemical and biochemical properties

Summary In the present work the chemical cell wall composition and some other biochemical characteristics were studied in staphylococci with the intention of utilizing the data obtained in their classification.According to the cell wall peptidoglycans and teichoic acids, the 130 strains of staphylococci studied are divided into 10 major groups. This division of staphylococci into groups is in good agreement with their present classification only in some cases. All of the 47Staphylococcus aureus strains contain a cell wall peptidoglycan of thel-Lys-Gly_5–6 type and ribitol teichoic acid. Coagulase-negative staphylococci are more heterogeneous and are divided according to their cell wall composition into 9 major groups. 21 strains of them are classified asS. epidermidis sensu stricto. They form a natural group and are distinguished by the occurrence of thel-Lys-Gly_4–5,l-Ser_0.5–1.8 peptidoglycan type, glycerol teichoic acid and anl-lactate dehydrogenase which is activated by fructose-1,6-diphosphate. 8 strains with peptidoglycan of thel-Lys-Gly_4–5,l-Ser_0.5–1.8 type and ribitol teichoic acid are labeled asS. saprophyticus. The remaining groups have not been given species names and require further extensive comparative study.     

Classifying RNA-binding proteins based on electrostatic properties

Protein structure can provide new insight into the biological function of a protein and can enable the design of better experiments to learn its biological roles. Moreover, deciphering the interactions of a protein with other molecules can contribute to the understanding of the protein's function within cellular processes. In this study, we apply a machine learning approach for classifying RNA-binding proteins based on their three-dimensional structures. The method is based on characterizing unique properties of electrostatic patches on the protein surface. Using an ensemble of general protein features and specific properties extracted from the electrostatic patches, we have trained a support vector machine (SVM) to distinguish RNA-binding proteins from other positively charged proteins that do not bind nucleic acids. Specifically, the method was applied on proteins possessing the RNA recognition motif (RRM) and successfully classified RNA-binding proteins from RRM domains involved in protein-protein interactions. Overall the method achieves 88% accuracy in classifying RNA-binding proteins, yet it cannot distinguish RNA from DNA binding proteins. Nevertheless, by applying a multiclass SVM approach we were able to classify the RNA-binding proteins based on their RNA targets, specifically, whether they bind a ribosomal RNA (rRNA), a transfer RNA (tRNA), or messenger RNA (mRNA). Finally, we present here an innovative approach that does not rely on sequence or structural homology and could be applied to identify novel RNA-binding proteins with unique folds and/or binding motifs.     

基于物化性质对嗜热蛋白的预测

嗜热蛋白在高温下能保持稳定性和活性,是研究蛋白质热稳定性的理想模型,开发一个蛋白质热稳定性识别的方法将对蛋白质工程和蛋白质的设计很有帮助。目前的研究中,氨基酸的组成及其物化性质一直被认为和蛋白质的热稳定性相关。本研究筛选出可靠的数据集,包括915个嗜热蛋白和793个非嗜热蛋白。利用蛋白质氨基酸的物化性质和氨基酸的组成表征嗜热蛋白,将二肽氨基酸组成整合到9组氨基酸物化性质中使蛋白序列公式化。支持向量机5折叠交叉验证表明:当gap=0时,290个特征产生的精度最高,为92.74%。因此说明对于分析蛋白质的热稳定性,所建立的预测模型将是一个很有效的工具。     

Classification and prediction of clinical Alzheimer's diagnosis based on plasma signaling proteins

A molecular test for Alzheimer's disease could lead to better treatment and therapies. We found 18 signaling proteins in blood plasma that can be used to classify blinded samples from Alzheimer's and control subjects with close to 90% accuracy and to identify patients who had mild cognitive impairment that progressed to Alzheimer's disease 2-6 years later. Biological analysis of the 18 proteins points to systemic dysregulation of hematopoiesis, immune responses, apoptosis and neuronal support in presymptomatic Alzheimer's disease.     

Self organization of membrane proteins via dimerization

Protein-protein dimerization is ubiquitous in biology, but its role in self-organization remains unexplored. Here we use Monte Carlo simulations to demonstrate that under diffusion-limited conditions, reversible dimerization alone can cause membrane proteins to cluster into oligomer-like structures. When multiple distinct protein species are able to form dimers, then heterodimerization and homodimerization can organize proteins into structured clusters that can affect cellular physiology. As an example, we demonstrate how receptor dimerization could provide a physical mechanism for regulating information flow by controlling receptor-receptor cross talk. These results are physically realistic for some membrane proteins, including members of the G-protein coupled receptor family, and may provide a physiological reason as to why many proteins dimerize.     

Major differences in stability and dimerization properties of two chimeric mutants of human stefins

Stefins A and B are cysteine proteinase inhibitors that have considerable sequence similarity but marked differences in their stability and folding properties. Two chimeric proteins were designed to shed light on these differences. The chimeric mutants have been expressed in Escherichia coli and have been isolated. The first, A37B, consists of 37 residues of stefin A, comprising the N-terminal and the alpha-helix, joined to 61 residues of stefin B; the second, A61B, consists of 61 N-terminal residues of stefin A, followed by 37 residues of stefin B. Spectroscopic properties of the chimeric proteins (absorption, CD, and NMR spectra), together with activity measurements, have confirmed that both have well-defined tertiary structure and are active as cysteine proteinase inhibitors. Characterization consisted of GuHCl denaturation, ANS binding as a function of pH, and monitoring of dimerization under partially denaturing conditions. The c(m) values are 1.3 M GuHCl for A61B as compared with 2.7 M GuHCl for stefin A, and 2.1 M GuHCl for A37B as compared with 1.4 M GuHCl for stefin B (all at pH 7.5, 25 degrees C). However (G degrees (N-U) is lower for both chimeric proteins (18 +/- 3 kJ/mol) than for the parent stefins (28 +/- 3 kJ/mol). In pH denaturation, unlike stefin B, neither chimeric mutant unfolds to I(N) below pH 5.4. At pH 3, where stefin B forms a molten globule and stefin A is native, both A37B and A61B show increased ANS fluorescence and aggregate visibly. Dimers at pre-denaturation conditions are observed in all the proteins under study, but they remain "trapped" only in stefin A.     

The basic domain of plant B-ZIP proteins facilitates import of a reporter protein into plant nuclei.

The import of large molecules into the nucleus is an active process that requires the presence in cis of a nuclear localization signal (NLS). Although these signals have been well characterized in mammalian, yeast, and amphibian nuclear proteins, no plant NLS has yet been described. The NLSs identified so far generally contain clusters of basic amino acids. This characteristic feature prompted us to test several basic domains from the plant DNA-binding proteins TGA-1A and TGA-1B and the TATA box-binding protein TFIID for nuclear targeting function. When tested as N-terminal fusions to the beta-glucuronidase protein, only those constructs containing the DNA binding (basic) domain of the basic-zipper (B-ZIP) region of TGA-1A or TGA-1B conferred nuclear import. These results suggest a close association or overlap of the DNA binding and nuclear targeting domains of B-ZIP proteins. We also demonstrated that a wild-type but not a mutant simian virus 40 large T-antigen NLS facilitates import into plant nuclei, indicating a strong conservation between nuclear import mechanisms in animals and plants.     

Structural basis of dimerization and nucleic acid binding of human DBHS proteins NONO and PSPC1

The Drosophila behaviour/human splicing (DBHS) proteins are a family of RNA/DNA binding cofactors liable for a range of cellular processes. DBHS proteins include the non-POU domain-containing octamer-binding protein (NONO) and paraspeckle protein component 1 (PSPC1), proteins capable of forming combinatorial dimers. Here, we describe the crystal structures of the human NONO and PSPC1 homodimers, representing uncharacterized DBHS dimerization states. The structures reveal a set of conserved contacts and structural plasticity within the dimerization interface that provide a rationale for dimer selectivity between DBHS paralogues. In addition, solution X-ray scattering and accompanying biochemical experiments describe a mechanism of cooperative RNA recognition by the NONO homodimer. Nucleic acid binding is reliant on RRM1, and appears to be affected by the orientation of RRM1, influenced by a newly identified ‘β-clasp’ structure. Our structures shed light on the molecular determinants for DBHS homo- and heterodimerization and provide a basis for understanding how DBHS proteins cooperatively recognize a broad spectrum of RNA targets.     

Oxidative dimerization of proteins: role of tyrosine accessibility

PURPOSE: To investigate the importance of two possible mechanisms of tyrosine oxidation on the yield of protein dimerization. The model chosen is hen and turkey egg-white lysozymes, which differ by seven amino acids, among which one tyrosine is in the 3 position. MATERIALS AND METHODS: Aqueous solutions of proteins were oxidized by OH(*) or N(*)(3) free radicals produced by gamma or pulse irradiation in an atmosphere of N(2)O. Protein dimers were quantified by SDS-PAGE and reverse-phase HPLC. Dityrosines were identified by absorption and fluorescence. RESULTS: Using N(*)(3) free radicals, the initial yields of dimerization are equal to (8.6 +/- 0.7) x 10(-9) mol J(-1) for both proteins. Using OH(*) free radicals, they become equal to (1.23 +/- 0.1) x 10(-8) and (4.42 +/- 0.1) x 10(-8) mol J(-1) for hen and turkey egg-white lysozymes, respectively (gamma radiolysis). DISCUSSION. N(*)(3) radicals react primarily with tryptophan residues only. Tyrosine gets oxidized by intramolecular long-range electron migration, whereas OH(*) may react directly with tyrosines. We propose a low participation of Tyr3 in turkey protein in the intramolecular process, because Tyr3 is far from all tryptophans. On the other hand, Tyr3 is very accessible to solvent and in a flexible area; thus collisions with OH(*) could easily be followed by intermolecular dimerization.     

Selection based on the folding properties of proteins with ribosome display

Ribosome display is a powerful tool for selecting and evolving protein functions through ligand-binding. Here, this in vitro system was used to perform selection based on the folding properties of proteins, independent of specific ligand-binding. The selection is based on two properties of misfolded proteins: (1) increased sensitivity to proteolysis and (2) greater exposure of hydrophobic area. By targeting these properties, we show that compactly folded and soluble proteins can be enriched over insoluble and random coil proteins. This approach may be especially useful for selection and evolution of folded proteins from random sequence libraries.     

Computational identification of human mitochondrial proteins based on homology to yeast mitochondrially targeted proteins

MOTIVATION: Patients with defects of the mitochondrial respiratory chain due to mutations in nuclear genes are often undiagnosable due to the lack of information about the role of these genes. We therefore sought to produce a novel dataset of human nuclear-encoded mitochondrial proteins. RESULTS: We have used the web-based computer program Mitoprot to predict which proteins in the Saccharomyces cerevisiae genome are targeted to mitochondria. We then used this protein dataset to identify the homologous human proteins in the Unigene database using TBLASTN from NCBI. Human proteins with an Expectation value <10(-5) and an Identity >30% were accepted as true homologues of the yeast proteins. These human proteins were then reanalyzed with Mitoprot. The final set of proteins comprises a dataset of 361 human mitochondrially targeted proteins with homology to all S.cerevisiae mitochondrially targeted proteins. One hundred twenty eight of these proteins are novel and are of unknown function. SUPPLEMENTARY INFORMATION: Supplementary tables will be available from http://www.sickkids.ca/Robinsonlab/     

Structure of the TRFH dimerization domain of the human telomeric proteins TRF1 and TRF2.

TRF1 and TRF2 are key components of vertebrate telomeres. They bind to double-stranded telomeric DNA as homodimers. Dimerization involves the TRF homology (TRFH) domain, which also mediates interactions with other telomeric proteins. The crystal structures of the dimerization domains from human TRF1 and TRF2 were determined at 2.9 and 2.2 A resolution, respectively. Despite a modest sequence identity, the two TRFH domains have the same entirely alpha-helical architecture, resembling a twisted horseshoe. The dimerization interfaces feature unique interactions that prevent heterodimerization. Mutational analysis of TRF1 corroborates the structural data and underscores the importance of the TRFH domain in dimerization, DNA binding, and telomere localization. A possible structural homology between the TRFH domain of fission yeast telomeric protein Taz1 with those of the vertebrate TRFs is suggested.     

Classification and clustering analysis of pyruvate dehydrogenase enzyme based on their physicochemical properties

Biological systems are highly organized and enormously coordinated maintaining greater complexity. The increment of secondary data generation and progress of modern mining techniques provided us an opportunity to discover hidden intra and inter relations among these non linear dataset. This will help in understanding the complex biological phenomenon with greater efficiency. In this paper we report comparative classification of Pyruvate Dehydrogenase protein sequences from bacterial sources based on 28 different physicochemical parameters (such as bulkiness, hydrophobicity, total positively and negatively charged residues, α helices, β strand etc.) and 20 type amino acid compositions. Logistic, MLP (Multi Layer Perceptron), SMO (Sequential Minimal Optimization), RBFN (Radial Basis Function Network) and SL (simple logistic) methods were compared in this study. MLP was found to be the best method with maximum average accuracy of 88.20%. Same dataset was subjected for clustering using 2*2 grid of a two dimensional SOM (Self Organizing Maps). Clustering analysis revealed the proximity of the unannotated sequences with the Mycobacterium and Synechococcus genus.