Identification of efflux proteins using efficient radial basis function networks with position‐specific scoring matrices and biochemical properties

Efflux proteins are membrane proteins, which are involved in the transportation of multidrugs. The annotation of efflux proteins in genomic sequences would aid to understand the function. Although the percentage of membrane proteins in genomes is estimated to be 25–30%, there is no information about the content of efflux proteins. For annotating such class of proteins it is necessary to develop a reliable method to identify efflux proteins from amino acid sequence information. In this work, we have developed a method based on radial basis function networks using position specific scoring matrices (PSSM) and amino acid properties. We noticed that the C‐terminal domain of efflux proteins contain vital information for discrimination. Our method showed an accuracy of 78 and 92% in discriminating efflux proteins from transporters and membrane proteins, respectively using fivefold cross‐validation. We utilized our method for annotating the genomes E. coli and P. aeruginosa and it predicted 8.7 and 9.2% of proteins as efflux proteins in these genomes, respectively. The predicted efflux proteins have been compared with available experimental data and we observed a very good agreement between them. Further, we developed a web server for classifying efflux proteins and it is freely available at http://rbf.bioinfo.tw/～sachen/EFFLUXpredict/Efflux‐RBF.php . We suggest that our method could be an effective tool for annotating efflux proteins in genomic sequences.Proteins 2013. © 2013 Wiley Periodicals, Inc.     

Prediction of transporter targets using efficient RBF networks with PSSM profiles and biochemical properties

SUMMARY: Transporters are proteins that are involved in the movement of ions or molecules across biological membranes. Currently, our knowledge about the functions of transporters is limited due to the paucity of their 3D structures. Hence, computational techniques are necessary to annotate the functions of transporters. In this work, we focused on an important functional aspect of transporters, namely annotation of targets for transport proteins. We have systematically analyzed four major classes of transporters with different transporter targets: (i) electron, (ii) protein/mRNA, (iii) ion and (iv) others, using amino acid properties. We have developed a radial basis function network-based method for predicting transport targets with amino acid properties and position specific scoring matrix profiles. Our method showed a 10-fold cross-validation accuracy of 90.1, 80.1, 70.3 and 82.3% for electron transporters, protein/mRNA transporters, ion transporters and others, respectively, in a dataset of 543 transporters. We have also evaluated the performance of the method with an independent dataset of 108 proteins and we obtained similar accuracy. We suggest that our method could be an effective tool for functional annotation of transport proteins. AVAILABILITY: http://rbf.bioinfo.tw/~sachen/ttrbf.html     

Structural basis for polyspecificity in the POT family of proton‐coupled oligopeptide transporters

An enigma in the field of peptide transport is the structural basis for ligand promiscuity, as exemplified by PepT1, the mammalian plasma membrane peptide transporter. Here, we present crystal structures of di‐ and tripeptide‐bound complexes of a bacterial homologue of PepT1, which reveal at least two mechanisms for peptide recognition that operate within a single, centrally located binding site. The dipeptide was orientated laterally in the binding site, whereas the tripeptide revealed an alternative vertical binding mode. The co‐crystal structures combined with functional studies reveal that biochemically distinct peptide‐binding sites likely operate within the POT/PTR family of proton‐coupled symporters and suggest that transport promiscuity has arisen in part through the ability of the binding site to accommodate peptides in multiple orientations for transport.     

Structural basis for antibacterial peptide self‐immunity by the bacterial ABC transporter McjD

Certain pathogenic bacteria produce and release toxic peptides to ensure either nutrient availability or evasion from the immune system. These peptides are also toxic to the producing bacteria that utilize dedicated ABC transporters to provide self‐immunity. The ABC transporter McjD exports the antibacterial peptide MccJ25 in Escherichia coli. Our previously determined McjD structure provided some mechanistic insights into antibacterial peptide efflux. In this study, we have determined its structure in a novel conformation, apo inward‐occluded and a new nucleotide‐bound state, high‐energy outward‐occluded intermediate state, with a defined ligand binding cavity. Predictive cysteine cross‐linking in E. coli membranes and PELDOR measurements along the transport cycle indicate that McjD does not undergo major conformational changes as previously proposed for multi‐drug ABC exporters. Combined with transport assays and molecular dynamics simulations, we propose a novel mechanism for toxic peptide ABC exporters that only requires the transient opening of the cavity for release of the peptide. We propose that shielding of the cavity ensures that the transporter is available to export the newly synthesized peptides, preventing toxic‐level build‐up.     

Classification of 29 families of secondary transport proteins into a single structural class using hydropathy profile analysis

A classification scheme for membrane proteins is proposed that clusters families of proteins into structural classes based on hydropathy profile analysis. The averaged hydropathy profiles of protein families are taken as fingerprints of the 3D structure of the proteins and, therefore, are able to detect more distant evolutionary relationships than amino acid sequences. A procedure was developed in which hydropathy profile analysis is used initially as a filter in a BLAST search of the NCBI protein database. The strength of the procedure is demonstrated by the classification of 29 families of secondary transporters into a single structural class, termed ST[3]. An exhaustive search of the database revealed that the 29 families contain 568 unique sequences. The proteins are predominantly from prokaryotic origin and most of the characterized transporters in ST[3] transport organic and inorganic anions and a smaller number are Na(+)/H(+) antiporters. All modes of energy coupling (symport, antiport, uniport) are found in structural class ST[3]. The relevance of the classification for structure/function prediction of uncharacterised transporters in the class is discussed.     

Structure based computational assessment of channel properties of assembled ORF‐8a from SARS‐CoV

ORF 8a is a short 39 amino acid bitopic membrane protein encoded by severe acute respiratory syndrome causing corona virus (SARS‐CoV). It has been identified to increase permeability of the lipid membrane for cations. Permeability is suggested to occur due to the assembly of helical bundles. Computational models of a pentameric assembly of 8a peptides are generated using the first 22 amino acids, which include the transmembrane domain. Low energy structures reveal a hydrophilic pore mantled by residues Thr‐8, and ?18, Ser‐11, Cys‐13, and Arg‐22. Potential of mean force (PMF) profiles for mono (Na⁺, K⁺, Cl^?) and divalent (Ca²⁺) ions along the pore are calculated. The data support experimental findings of a weak cation selectivity of the channel. Calculations on 8a are compared to data derived for a pentameric bundle consisting of the M2 helices of the bacterial pentameric ligand gated ion channel GLIC (3EHZ). PMF curves of both, bundles 8a and M2, show sigmoidal shaped profiles. In comparison to the data for the M2‐GLIC model, data of the 8a bundle show lower amplitude of the PMF values between maximum and minimum and less discrimination amongst ions. Proteins 2015; 83:300–308. © 2014 Wiley Periodicals, Inc.     

Arabidopsis ammonium transporters,AtAMT1;1 and AtAMT1;2, have different biochemical properties and functional roles

We have compared the biochemical properties of two different Arabidopsis ammonium transporters, AtAMT1;1 and AtAMT1;2, expressed in yeast, with the biophysical properties of ammonium transport in planta. Expression of the AtAMT1;1 gene in Arabidopsis roots increased approximately four-fold in response to nitrogen deprivation. This coincided with a similar increase in high-affinity ammonium uptake by these plants. The biophysical characteristics of this high-affinity system (K_m for ammonium and methylammonium of 8 M and 31 M, respectively) matched those of AtAMT1;1 expressed in yeast (K_m for methylammonium of 32 M and K_i for ammonium of 1–10 M). The same transport system was present, although less active, in nitrate-fed roots. Ammonium-fed plants exhibited the lowest rates of ammonium uptake and appeared to deploy a different transporter (K_m for ammonium of 46 M). Expression of AtAMT1;2 in roots was insensitive to changes in nitrogen nutrition. In contrast to AtAMT1;1, AtAMT1;2 expressed in yeast exhibited biphasic kinetics for methylammonium uptake: in addition to a high-affinity phase with a K_m of 36 M, a low-affinity phase with a K_m for methylammonium of 3.0 mM was measured. Despite the presence of a putative chloroplast transit peptide in AtAMT1;2, the protein was not imported into chloroplasts in vitro. The electrophysiological data for roots, together with the biochemical properties of AtAMT1;1 and Northern blot analysis indicate a pre-eminent role for AtAMT1;1 in ammonium uptake across the plasma membrane of nitrate-fed and nitrogen-deprived root cells.     

Predominant role of plasma membrane monoamine transporters in monoamine transport in 1321N1, a human astrocytoma‐derived cell line

Monoamine neurotransmitters should be immediately removed from the synaptic cleft to avoid excessive neuronal activity. Recent studies have shown that astrocytes and neurons are involved in monoamine removal. However, the mechanism of monoamine transport by astrocytes is not entirely clear. We aimed to elucidate the transporters responsible for monoamine transport in 1321N1, a human astrocytoma‐derived cell line. First, we confirmed that 1321N1 cells transported dopamine, serotonin, norepinephrine, and histamine in a time‐ and dose‐dependent manner. Kinetics analysis suggested the involvement of low‐affinity monoamine transporters, such as organic cation transporter (OCT) 2 and 3 and plasma membrane monoamine transporter (PMAT). Monoamine transport in 1321N1 cells was not Na⁺/Cl^? dependent but was inhibited by decynium‐22, an inhibitor of low‐affinity monoamine transporters, which supported the importance of low‐affinity transporters. RT‐PCR assays revealed that 1321N1 cells expressed OCT3 and PMAT but no other neurotransmitter transporters. Another human astrocytoma‐derived cell line, U251MG, and primary human astrocytes also exhibited the same gene expression pattern. Gene‐knockdown assays revealed that 1321N1 and primary human astrocytes could transport monoamines predominantly through PMAT and partly through OCT3. These results might indicate that PMAT and OCT3 in human astrocytes are involved in monoamine clearance.

     

Native fold and docking pose discrimination by the same residue‐based scoring function

Structure prediction and quality assessment are crucial steps in modeling native protein conformations. Statistical potentials are widely used in related algorithms, with different parametrizations typically developed for different contexts such as folding protein monomers or docking protein complexes. Here, we describe BACH‐SixthSense, a single residue‐based statistical potential that can be successfully employed in both contexts. BACH‐SixthSense shares the same approach as BACH, a knowledge‐based potential originally developed to score monomeric protein structures. A term that penalizes steric clashes as well as the distinction between polar and apolar sidechain‐sidechain contacts are crucial novel features of BACH‐SixthSense. The performance of BACH‐SixthSense in discriminating correctly the native structure among a competing set of decoys is significantly higher than other state‐of‐the‐art scoring functions, that were specifically trained for a single context, for both monomeric proteins (QMEAN, Rosetta, RF_CB_SRS_OD, benchmarked on CASP targets) and protein dimers (IRAD, Rosetta, PIE*PISA, HADDOCK, FireDock, benchmarked on 14 CAPRI targets). The performance of BACH‐SixthSense in recognizing near‐native docking poses within CAPRI decoy sets is good as well. Proteins 2015; 83:621–630. © 2015 Wiley Periodicals, Inc.     

Docking and homology modeling explain inhibition of the human vesicular glutamate transporters

As membrane transporter proteins, VGLUT1-3 mediate the uptake of glutamate into synaptic vesicles at presynaptic nerve terminals of excitatory neural cells. This function is crucial for exocytosis and the role of glutamate as the major excitatory neurotransmitter in the central nervous system. The three transporters, sharing 76% amino acid sequence identity in humans, are highly homologous but differ in regional expression in the brain. Although little is known regarding their three-dimensional structures, hydropathy analysis on these proteins predicts 12 transmembrane segments connected by loops, a topology similar to other members in the major facilitator superfamily, where VGLUT1-3 have been phylogenetically classified. In this work, we present a three-dimensional model for the human VGLUT1 protein based on its distant bacterial homolog in the same superfamily, the glycerol-3-phosphate transporter from Escherichia coli. This structural model, stable during molecular dynamics simulations in phospholipid bilayers solvated by water, reveals amino acid residues that face its pore and are likely to affect substrate translocation. Docking of VGLUT1 substrates to this pore localizes two different binding sites, to which inhibitors also bind with an overall trend in binding affinity that is in agreement with previously published experimental data.     

The structures of BtuCD and MscS and their implications for transporter and channel function

The passage of most molecules across biological membranes is mediated by specialized integral membrane proteins known as channels and transporters. Although these transport families encompass a wide range of functions, molecular architectures and mechanisms, there are common elements that must be incorporated within their structures, namely the translocation pathway, ligand specificity elements and regulatory sensors to control the rate of ligand flow across the membrane. This minireview discusses aspects of the structure and mechanism of two bacterial transport systems, the stretch-activated mechanosensitive channel of small conductance (MscS) and the ATP-dependent vitamin B12 uptake system (BtuCD), emphasizing their general implications for transporter function.     

Structure and function of the bacterial mechanosensitive channel of large conductance.

Mechanosensation in bacteria involves transducing membrane stress into an electrochemical response. In Escherichia coli and other bacteria, this function is carried out by a number of proteins including MscL, the mechanosensitive channel of large conductance. MscL is the best characterized of all mechanosensitive channels. It has been the subject of numerous structural and functional investigations. The explosion in experimental data on MscL recently culminated in the solution of the three-dimensional structure of the MscL homologue from Mycobacterium tuberculosis. In this review, much of these data are united and interpreted in terms of the newly published M. tuberculosis MscL crystal structure.     

Structural basis for receptor recognition and pore formation of a zebrafish aerolysin‐like protein

Various aerolysin‐like pore‐forming proteins have been identified from bacteria to vertebrates. However, the mechanism of receptor recognition and/or pore formation of the eukaryotic members remains unknown. Here, we present the first crystal and electron microscopy structures of a vertebrate aerolysin‐like protein from Danio rerio, termed Dln1, before and after pore formation. Each subunit of Dln1 dimer comprises a β‐prism lectin module followed by an aerolysin module. Specific binding of the lectin module toward high‐mannose glycans triggers drastic conformational changes of the aerolysin module in a pH‐dependent manner, ultimately resulting in the formation of a membrane‐bound octameric pore. Structural analyses combined with computational simulations and biochemical assays suggest a pore‐forming process with an activation mechanism distinct from the previously characterized bacterial members. Moreover, Dln1 and its homologs are ubiquitously distributed in bony fishes and lamprey, suggesting a novel fish‐specific defense molecule.     

Structural basis of transport and inhibition of the Plasmodium falciparum transporter PfFNT

The intra‐erythrocyte stage of P. falciparum relies primarily on glycolysis to generate adenosine triphosphate (ATP) and the energy required to support growth and reproduction. Lactic acid, a metabolic byproduct of glycolysis, is potentially toxic as it lowers the pH inside the parasite. Plasmodium falciparum formate–nitrite transporter (PfFNT), a 34‐kDa transmembrane protein, has been identified as a novel drug target as it exports lactate from inside the parasite to the surrounding parasitophorous vacuole within the erythrocyte cytosol. The structure and detailed molecular mechanism of this membrane protein are not yet available. Here we present structures of PfFNT in the absence and presence of the functional inhibitor MMV007839 at resolutions of 2.56 Å and 2.78 Å using single‐particle cryo‐electron microscopy. Genetic analysis and transport assay indicate that PfFNT is able to transfer lactate across the membrane. Combined, our data suggest a stepwise displacement mechanism for substrate transport. The PfFNT membrane protein is capable of picking up lactate ions from the parasite’s cytosol, converting them to lactic acids and then exporting these acids into the extracellular space.