Structural Basis for Effector Transmembrane Domain Recognition
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Allosteric Regulation in Drug Design
Mini Review Curr Trends Biomedical Eng & Biosci Volume 4 Issue 1 - May 2017 Copyright © All rights are reserved by Ashfaq Ur Rehman DOI: 10.19080/CTBEB.2017.04.5555630 Allosteric regulation in drug design Ashfaq Ur Rehman1,2*, Shah Saud3, Nasir Ahmad4, Abdul Wadood2 and R Hamid5 1State Key Laboratory of Microbial Metabolism, Department of Bioinformatics and Biostatistics, China 2Department of Biochemistry, Abdul Wali Khan University Mardan, Pakistan 3Laboratory of Analytical Biochemistry and Bio separation, Shanghai Jiao Tong University, China 4Department of Chemistry, Islama College University Peshawar, Pakistan 5Department of Bioinformatics, Muhammad Ali Jinnah University Islamabad, Pakistan Submission: May 02, 2017; Published: May 23, 2017 *Corresponding author: Ashfaq Ur Rehman, State Key Laboratory of Microbial Metabolism, Department of Bioinformatics and Biostatistics, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, China, Tel: ; Fax: 86-21-34204348; Email: Abstract mechanism, which are initiated through attachment of ligand or inhibitors with the protein or enzymes other than active (orthosteric) sites. ThisProtein mini review and enzymes involved play mechanism, significant types roles and in importancebiological processes of allosteric of all regulations living organisms; in drug theirdesign functions process. are regulated through allosteric Keywords: Allosteric, Activator: Drug design Introduction and ultimately cause disease. While various biological processes expressed the control at different points in life time of protein function is pivotal. As all the cell processes are under carful For the survival of all organisms the significance of protein included regulation of gene expression, translation into protein control and if not properly controls this leads to the abnormality through control of activity and at last degradation of protein [1]. -
Design Principles for Regulator Gene Expression in a Repressible Gene
Design of Repressible Gene Circuits: M.E. Wall et al. 1 Design Principles for Regulator Gene Expression in a Repressible Gene Circuit Michael E. Wall1,2, William S. Hlavacek3* and Michael A. Savageau4+ 1Computer and Computational Sciences Division and 2Bioscience Division, Los Alamos National Laboratory, Los Alamos, NM 87545, USA 3Theoretical Biology and Biophysics Group (T-10), Theoretical Division, Mail Stop K710, Los Alamos National Laboratory, Los Alamos, NM 87545, USA 4Department of Microbiology and Immunology, The University of Michigan Medical School, Ann Arbor, MI 48109-0620, USA +Current address: Department of Biomedical Engineering, One Shields Avenue, University of California, Davis, CA 95616, USA. *Corresponding author Tel.: +1-505 665 1355 Fax: +1-505 665 3493 E-mail address of the corresponding author: [email protected] Design of Repressible Gene Circuits: M.E. Wall et al. 2 Summary We consider the design of a type of repressible gene circuit that is common in bacteria. In this type of circuit, a regulator protein acts to coordinately repress the expression of effector genes when a signal molecule with which it interacts is present. The regulator protein can also independently influence the expression of its own gene, such that regulator gene expression is repressible (like effector genes), constitutive, or inducible. Thus, a signal-directed change in the activity of the regulator protein can result in one of three patterns of coupled regulator and effector gene expression: direct coupling, in which regulator and effector gene expression change in the same direction; uncoupling, in which regulator gene expression remains constant while effector gene expression changes; or inverse coupling, in which regulator and effector gene expression change in opposite directions. -
Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model
Downloaded from http://www.jimmunol.org/ by guest on September 25, 2021 T + is online at: average * The Journal of Immunology , 34 of which you can access for free at: 2016; 197:1477-1488; Prepublished online 1 July from submission to initial decision 4 weeks from acceptance to publication 2016; doi: 10.4049/jimmunol.1600589 http://www.jimmunol.org/content/197/4/1477 Molecular Profile of Tumor-Specific CD8 Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. Waugh, Sonia M. Leach, Brandon L. Moore, Tullia C. Bruno, Jonathan D. Buhrman and Jill E. Slansky J Immunol cites 95 articles Submit online. Every submission reviewed by practicing scientists ? is published twice each month by Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts http://jimmunol.org/subscription Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html http://www.jimmunol.org/content/suppl/2016/07/01/jimmunol.160058 9.DCSupplemental This article http://www.jimmunol.org/content/197/4/1477.full#ref-list-1 Information about subscribing to The JI No Triage! Fast Publication! Rapid Reviews! 30 days* Why • • • Material References Permissions Email Alerts Subscription Supplementary The Journal of Immunology The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2016 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. This information is current as of September 25, 2021. The Journal of Immunology Molecular Profile of Tumor-Specific CD8+ T Cell Hypofunction in a Transplantable Murine Cancer Model Katherine A. -
Cryptic Inoviruses Revealed As Pervasive in Bacteria and Archaea Across Earth’S Biomes
ARTICLES https://doi.org/10.1038/s41564-019-0510-x Corrected: Author Correction Cryptic inoviruses revealed as pervasive in bacteria and archaea across Earth’s biomes Simon Roux 1*, Mart Krupovic 2, Rebecca A. Daly3, Adair L. Borges4, Stephen Nayfach1, Frederik Schulz 1, Allison Sharrar5, Paula B. Matheus Carnevali 5, Jan-Fang Cheng1, Natalia N. Ivanova 1, Joseph Bondy-Denomy4,6, Kelly C. Wrighton3, Tanja Woyke 1, Axel Visel 1, Nikos C. Kyrpides1 and Emiley A. Eloe-Fadrosh 1* Bacteriophages from the Inoviridae family (inoviruses) are characterized by their unique morphology, genome content and infection cycle. One of the most striking features of inoviruses is their ability to establish a chronic infection whereby the viral genome resides within the cell in either an exclusively episomal state or integrated into the host chromosome and virions are continuously released without killing the host. To date, a relatively small number of inovirus isolates have been extensively studied, either for biotechnological applications, such as phage display, or because of their effect on the toxicity of known bacterial pathogens including Vibrio cholerae and Neisseria meningitidis. Here, we show that the current 56 members of the Inoviridae family represent a minute fraction of a highly diverse group of inoviruses. Using a machine learning approach lever- aging a combination of marker gene and genome features, we identified 10,295 inovirus-like sequences from microbial genomes and metagenomes. Collectively, our results call for reclassification of the current Inoviridae family into a viral order including six distinct proposed families associated with nearly all bacterial phyla across virtually every ecosystem. -
PLK-1 Promotes the Merger of the Parental Genome Into A
RESEARCH ARTICLE PLK-1 promotes the merger of the parental genome into a single nucleus by triggering lamina disassembly Griselda Velez-Aguilera1, Sylvia Nkombo Nkoula1, Batool Ossareh-Nazari1, Jana Link2, Dimitra Paouneskou2, Lucie Van Hove1, Nicolas Joly1, Nicolas Tavernier1, Jean-Marc Verbavatz3, Verena Jantsch2, Lionel Pintard1* 1Programme Equipe Labe´llise´e Ligue Contre le Cancer - Team Cell Cycle & Development - Universite´ de Paris, CNRS, Institut Jacques Monod, Paris, France; 2Department of Chromosome Biology, Max Perutz Laboratories, University of Vienna, Vienna Biocenter, Vienna, Austria; 3Universite´ de Paris, CNRS, Institut Jacques Monod, Paris, France Abstract Life of sexually reproducing organisms starts with the fusion of the haploid egg and sperm gametes to form the genome of a new diploid organism. Using the newly fertilized Caenorhabditis elegans zygote, we show that the mitotic Polo-like kinase PLK-1 phosphorylates the lamin LMN-1 to promote timely lamina disassembly and subsequent merging of the parental genomes into a single nucleus after mitosis. Expression of non-phosphorylatable versions of LMN- 1, which affect lamina depolymerization during mitosis, is sufficient to prevent the mixing of the parental chromosomes into a single nucleus in daughter cells. Finally, we recapitulate lamina depolymerization by PLK-1 in vitro demonstrating that LMN-1 is a direct PLK-1 target. Our findings indicate that the timely removal of lamin is essential for the merging of parental chromosomes at the beginning of life in C. elegans and possibly also in humans, where a defect in this process might be fatal for embryo development. *For correspondence: [email protected] Introduction Competing interests: The After fertilization, the haploid gametes of the egg and sperm have to come together to form the authors declare that no genome of a new diploid organism. -
Learning Protein Constitutive Motifs from Sequence Data Je´ Roˆ Me Tubiana, Simona Cocco, Re´ Mi Monasson*
TOOLS AND RESOURCES Learning protein constitutive motifs from sequence data Je´ roˆ me Tubiana, Simona Cocco, Re´ mi Monasson* Laboratory of Physics of the Ecole Normale Supe´rieure, CNRS UMR 8023 & PSL Research, Paris, France Abstract Statistical analysis of evolutionary-related protein sequences provides information about their structure, function, and history. We show that Restricted Boltzmann Machines (RBM), designed to learn complex high-dimensional data and their statistical features, can efficiently model protein families from sequence information. We here apply RBM to 20 protein families, and present detailed results for two short protein domains (Kunitz and WW), one long chaperone protein (Hsp70), and synthetic lattice proteins for benchmarking. The features inferred by the RBM are biologically interpretable: they are related to structure (residue-residue tertiary contacts, extended secondary motifs (a-helixes and b-sheets) and intrinsically disordered regions), to function (activity and ligand specificity), or to phylogenetic identity. In addition, we use RBM to design new protein sequences with putative properties by composing and ’turning up’ or ’turning down’ the different modes at will. Our work therefore shows that RBM are versatile and practical tools that can be used to unveil and exploit the genotype–phenotype relationship for protein families. DOI: https://doi.org/10.7554/eLife.39397.001 Introduction In recent years, the sequencing of many organisms’ genomes has led to the collection of a huge number of protein sequences, which are catalogued in databases such as UniProt or PFAM Finn et al., 2014). Sequences that share a common ancestral origin, defining a family (Figure 1A), *For correspondence: are likely to code for proteins with similar functions and structures, providing a unique window into [email protected] the relationship between genotype (sequence content) and phenotype (biological features). -
DECIPHER: Harnessing Local Sequence Context to Improve Protein Multiple Sequence Alignment Erik S
Wright BMC Bioinformatics (2015) 16:322 DOI 10.1186/s12859-015-0749-z RESEARCH ARTICLE Open Access DECIPHER: harnessing local sequence context to improve protein multiple sequence alignment Erik S. Wright1,2 Abstract Background: Alignment of large and diverse sequence sets is a common task in biological investigations, yet there remains considerable room for improvement in alignment quality. Multiple sequence alignment programs tend to reach maximal accuracy when aligning only a few sequences, and then diminish steadily as more sequences are added. This drop in accuracy can be partly attributed to a build-up of error and ambiguity as more sequences are aligned. Most high-throughput sequence alignment algorithms do not use contextual information under the assumption that sites are independent. This study examines the extent to which local sequence context can be exploited to improve the quality of large multiple sequence alignments. Results: Two predictors based on local sequence context were assessed: (i) single sequence secondary structure predictions, and (ii) modulation of gap costs according to the surrounding residues. The results indicate that context-based predictors have appreciable information content that can be utilized to create more accurate alignments. Furthermore, local context becomes more informative as the number of sequences increases, enabling more accurate protein alignments of large empirical benchmarks. These discoveries became the basis for DECIPHER, a new context-aware program for sequence alignment, which outperformed other programs on largesequencesets. Conclusions: Predicting secondary structure based on local sequence context is an efficient means of breaking the independence assumption in alignment. Since secondary structure is more conserved than primary sequence, it can be leveraged to improve the alignment of distantly related proteins. -
1 Codon-Level Information Improves Predictions of Inter-Residue Contacts in Proteins 2 by Correlated Mutation Analysis 3
1 Codon-level information improves predictions of inter-residue contacts in proteins 2 by correlated mutation analysis 3 4 5 6 7 8 Etai Jacob1,2, Ron Unger1,* and Amnon Horovitz2,* 9 10 11 1The Mina & Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat- 12 Gan, 52900, 2Department of Structural Biology 13 Weizmann Institute of Science, Rehovot 7610001, Israel 14 15 16 *To whom correspondence should be addressed: 17 Amnon Horovitz ([email protected]) 18 Ron Unger ([email protected]) 19 1 20 Abstract 21 Methods for analysing correlated mutations in proteins are becoming an increasingly 22 powerful tool for predicting contacts within and between proteins. Nevertheless, 23 limitations remain due to the requirement for large multiple sequence alignments (MSA) 24 and the fact that, in general, only the relatively small number of top-ranking predictions 25 are reliable. To date, methods for analysing correlated mutations have relied exclusively 26 on amino acid MSAs as inputs. Here, we describe a new approach for analysing 27 correlated mutations that is based on combined analysis of amino acid and codon MSAs. 28 We show that a direct contact is more likely to be present when the correlation between 29 the positions is strong at the amino acid level but weak at the codon level. The 30 performance of different methods for analysing correlated mutations in predicting 31 contacts is shown to be enhanced significantly when amino acid and codon data are 32 combined. 33 2 34 The effects of mutations that disrupt protein structure and/or function at one site are often 35 suppressed by mutations that occur at other sites either in the same protein or in other 36 proteins. -
TOOLS and RESOURCES: a Mammalian Enhancer Trap
1 TOOLS AND RESOURCES: 2 3 A Mammalian Enhancer trap Resource for Discovering and Manipulating Neuronal Cell Types. 4 Running title 5 Cell Type Specific Enhancer Trap in Mouse Brain 6 7 Yasuyuki Shima1, Ken Sugino2, Chris Hempel1,3, Masami Shima1, Praveen Taneja1, James B. 8 Bullis1, Sonam Mehta1,, Carlos Lois4, and Sacha B. Nelson1,5 9 10 1. Department of Biology and National Center for Behavioral Genomics, Brandeis 11 University, Waltham, MA 02454-9110 12 2. Janelia Research Campus, Howard Hughes Medical Institute, 19700 Helix Drive 13 Ashburn, VA 20147 14 3. Current address: Galenea Corporation, 50-C Audubon Rd. Wakefield, MA 01880 15 4. California Institute of Technology, Division of Biology and Biological 16 Engineering Beckman Institute MC 139-74 1200 East California Blvd Pasadena CA 17 91125 18 5. Corresponding author 19 1 20 ABSTRACT 21 There is a continuing need for driver strains to enable cell type-specific manipulation in the 22 nervous system. Each cell type expresses a unique set of genes, and recapitulating expression of 23 marker genes by BAC transgenesis or knock-in has generated useful transgenic mouse lines. 24 However since genes are often expressed in many cell types, many of these lines have relatively 25 broad expression patterns. We report an alternative transgenic approach capturing distal 26 enhancers for more focused expression. We identified an enhancer trap probe often producing 27 restricted reporter expression and developed efficient enhancer trap screening with the PiggyBac 28 transposon. We established more than 200 lines and found many lines that label small subsets of 29 neurons in brain substructures, including known and novel cell types. -
EMBL-EBI Now and in the Future
SureChEMBL: Open Patent Data Chemaxon UGM, Budapest 21/05/2014 Mark Davies ChEMBL Group, EMBL-EBI EMBL-EBI Resources Genes, genomes & variation European Nucleotide Ensembl European Genome-phenome Archive Archive Ensembl Genomes Metagenomics portal 1000 Genomes Gene, protein & metabolite expression ArrayExpress Metabolights Expression Atlas PRIDE Literature & Protein sequences, families & motifs ontologies InterPro Pfam UniProt Europe PubMed Central Gene Ontology Experimental Factor Molecular structures Ontology Protein Data Bank in Europe Electron Microscopy Data Bank Chemical biology ChEMBL ChEBI Reactions, interactions & pathways Systems BioModels BioSamples IntAct Reactome MetaboLights Enzyme Portal ChEMBL – Data for Drug Discovery 1. Scientific facts 3. Insight, tools and resources for translational drug discovery >Thrombin MAHVRGLQLPGCLALAALCSLVHSQHVFLAPQQARSLLQRVRRANTFLEEVRKGNLE Compound RECVEETCSYEEAFEALESSTATDVFWAKYTACETARTPRDKLAACLEGNCAEGLGT NYRGHVNITRSGIECQLWRSRYPHKPEINSTTHPGADLQENFCRNPDSSTTGPWCYT TDPTVRRQECSIPVCGQDQVTVAMTPRSEGSSVNLSPPLEQCVPDRGQQYQGRLAVT THGLPCLAWASAQAKALSKHQDFNSAVQLVENFCRNPDGDEEGVWCYVAGKPGDFGY CDLNYCEEAVEEETGDGLDEDSDRAIEGRTATSEYQTFFNPRTFGSGEADCGLRPLF EKKSLEDKTERELLESYIDGRIVEGSDAEIGMSPWQVMLFRKSPQELLCGASLISDR WVLTAAHCLLYPPWDKNFTENDLLVRIGKHSRTRYERNIEKISMLEKIYIHPRYNWR ENLDRDIALMKLKKPVAFSDYIHPVCLPDRETAASLLQAGYKGRVTGWGNLKETWTA NVGKGQPSVLQVVNLPIVERPVCKDSTRIRITDNMFCAGYKPDEGKRGDACEGDSGG Ki = 4.5nM PFVMKSPFNNRWYQMGIVSWGEGCDRDGKYGFYTHVFRLKKWIQKVIDQFGE Bioactivity data Assay/Target APTT = 11 min. 2. Organization, integration, -
A Unicellular Relative of Animals Generates a Layer of Polarized Cells
RESEARCH ARTICLE A unicellular relative of animals generates a layer of polarized cells by actomyosin- dependent cellularization Omaya Dudin1†*, Andrej Ondracka1†, Xavier Grau-Bove´ 1,2, Arthur AB Haraldsen3, Atsushi Toyoda4, Hiroshi Suga5, Jon Bra˚ te3, In˜ aki Ruiz-Trillo1,6,7* 1Institut de Biologia Evolutiva (CSIC-Universitat Pompeu Fabra), Barcelona, Spain; 2Department of Vector Biology, Liverpool School of Tropical Medicine, Liverpool, United Kingdom; 3Section for Genetics and Evolutionary Biology (EVOGENE), Department of Biosciences, University of Oslo, Oslo, Norway; 4Department of Genomics and Evolutionary Biology, National Institute of Genetics, Mishima, Japan; 5Faculty of Life and Environmental Sciences, Prefectural University of Hiroshima, Hiroshima, Japan; 6Departament de Gene`tica, Microbiologia i Estadı´stica, Universitat de Barcelona, Barcelona, Spain; 7ICREA, Barcelona, Spain Abstract In animals, cellularization of a coenocyte is a specialized form of cytokinesis that results in the formation of a polarized epithelium during early embryonic development. It is characterized by coordinated assembly of an actomyosin network, which drives inward membrane invaginations. However, whether coordinated cellularization driven by membrane invagination exists outside animals is not known. To that end, we investigate cellularization in the ichthyosporean Sphaeroforma arctica, a close unicellular relative of animals. We show that the process of cellularization involves coordinated inward plasma membrane invaginations dependent on an *For correspondence: actomyosin network and reveal the temporal order of its assembly. This leads to the formation of a [email protected] (OD); polarized layer of cells resembling an epithelium. We show that this stage is associated with tightly [email protected] (IR-T) regulated transcriptional activation of genes involved in cell adhesion. -
Evolution of Gene Dosage on the Z-Chromosome of Schistosome
RESEARCH ARTICLE Evolution of gene dosage on the Z-chromosome of schistosome parasites Marion A L Picard1, Celine Cosseau2, Sabrina Ferre´ 3, Thomas Quack4, Christoph G Grevelding4, Yohann Coute´ 3, Beatriz Vicoso1* 1Institute of Science and Technology Austria, Klosterneuburg, Austria; 2University of Perpignan Via Domitia, IHPE UMR 5244, CNRS, IFREMER, University Montpellier, Perpignan, France; 3Universite´ Grenoble Alpes, CEA, Inserm, BIG-BGE, Grenoble, France; 4Institute for Parasitology, Biomedical Research Center Seltersberg, Justus- Liebig-University, Giessen, Germany Abstract XY systems usually show chromosome-wide compensation of X-linked genes, while in many ZW systems, compensation is restricted to a minority of dosage-sensitive genes. Why such differences arose is still unclear. Here, we combine comparative genomics, transcriptomics and proteomics to obtain a complete overview of the evolution of gene dosage on the Z-chromosome of Schistosoma parasites. We compare the Z-chromosome gene content of African (Schistosoma mansoni and S. haematobium) and Asian (S. japonicum) schistosomes and describe lineage-specific evolutionary strata. We use these to assess gene expression evolution following sex-linkage. The resulting patterns suggest a reduction in expression of Z-linked genes in females, combined with upregulation of the Z in both sexes, in line with the first step of Ohno’s classic model of dosage compensation evolution. Quantitative proteomics suggest that post-transcriptional mechanisms do not play a major role in balancing the expression of Z-linked genes. DOI: https://doi.org/10.7554/eLife.35684.001 *For correspondence: [email protected] Introduction In species with separate sexes, genetic sex determination is often present in the form of differenti- Competing interests: The ated sex chromosomes (Bachtrog et al., 2014).