Repository of Enriched Structures of Proteins Involved in the Red Blood Cell Environment (RESPIRE)
暂无分享,去创建一个
S Téletchéa | H Santuz | S Léonard | C Etchebest | C. Etchebest | H. Santuz | S. Léonard | S. Téletchéa | Stéphane Téletchéa | Sylvain Léonard
[1] Matthew Fraser,et al. InterProScan 5: genome-scale protein function classification , 2014, Bioinform..
[2] Andrew C. R. Martin. Viewing multiple sequence alignments with the JavaScript Sequence Alignment Viewer (JSAV) , 2014, F1000Research.
[3] Ole Winther,et al. BloodSpot: a database of gene expression profiles and transcriptional programs for healthy and malignant haematopoiesis , 2015, Nucleic Acids Res..
[4] David Baker,et al. Macromolecular modeling with rosetta. , 2008, Annual review of biochemistry.
[5] Philipp F. Lange,et al. Annotating N Termini for the Human Proteome Project: N Termini and Nα-Acetylation Status Differentiate Stable Cleaved Protein Species from Degradation Remnants in the Human Erythrocyte Proteome , 2014, Journal of proteome research.
[6] Juancarlos Chan,et al. Gene Ontology Consortium: going forward , 2014, Nucleic Acids Res..
[7] Georgios A. Pavlopoulos,et al. Protein structure determination using metagenome sequence data , 2017, Science.
[8] O. Renaud,et al. Aggregation of mononuclear and red blood cells through an α4β1-Lu/basal cell adhesion molecule interaction in sickle cell disease , 2010, Haematologica.
[9] Wen J. Li,et al. Reference sequence (RefSeq) database at NCBI: current status, taxonomic expansion, and functional annotation , 2015, Nucleic Acids Res..
[10] M. le Gall,et al. Disruption of SMIM1 causes the Vel− blood type , 2013, EMBO molecular medicine.
[11] Matthew R. Pocock,et al. The Bioperl toolkit: Perl modules for the life sciences. , 2002, Genome research.
[12] K. McGrath,et al. Delineating stages of erythropoiesis using imaging flow cytometry. , 2017, Methods.
[13] Ivet Bahar,et al. ProDy: Protein Dynamics Inferred from Theory and Experiments , 2011, Bioinform..
[14] Martina Moras,et al. From Erythroblasts to Mature Red Blood Cells: Organelle Clearance in Mammals , 2017, Front. Physiol..
[15] Christie S. Chang,et al. The BioGRID interaction database: 2013 update , 2012, Nucleic Acids Res..
[16] A. G. Brevern,et al. A structural model of a seven-transmembrane helix receptor: the Duffy antigen/receptor for chemokine (DARC). , 2005, Biochimica et biophysica acta.
[17] M. Mann,et al. Red blood cell (RBC) membrane proteomics--Part I: Proteomics and RBC physiology. , 2010, Journal of proteomics.
[18] Leonardo Pardo,et al. Relation between sequence and structure in membrane proteins , 2013, Bioinform..
[19] Robert C. Edgar. MUSCLE: multiple sequence alignment with improved accuracy and speed , 2004, Proceedings. 2004 IEEE Computational Systems Bioinformatics Conference, 2004. CSB 2004..
[20] M. Ashburner,et al. Gene Ontology: tool for the unification of biology , 2000, Nature Genetics.
[21] Tanya Z. Berardini,et al. Cross-product extensions of the Gene Ontology , 2009, J. Biomed. Informatics.
[22] Bartek Wilczynski,et al. Biopython: freely available Python tools for computational molecular biology and bioinformatics , 2009, Bioinform..
[23] Haruki Nakamura,et al. Announcing the worldwide Protein Data Bank , 2003, Nature Structural Biology.
[24] T. Blundell,et al. Comparative protein modelling by satisfaction of spatial restraints. , 1993, Journal of molecular biology.
[25] F. Salachas,et al. Identification and characterization of a novel XK splice site mutation in a patient with McLeod syndrome , 2009, Transfusion.
[26] A. G. Brevern,et al. Sequence–structure relationship study in all-α transmembrane proteins using an unsupervised learning approach , 2015, Amino Acids.
[27] N. Mohandas,et al. Human and murine erythropoiesis , 2015, Current opinion in hematology.
[28] Massimiliano Pontil,et al. PSICOV: precise structural contact prediction using sparse inverse covariance estimation on large multiple sequence alignments , 2012, Bioinform..
[29] E. Birney,et al. Pfam: the protein families database , 2013, Nucleic Acids Res..
[30] Tamás Hegedüs,et al. Inconsistencies in the red blood cell membrane proteome analysis: generation of a database for research and diagnostic applications , 2015, Database J. Biol. Databases Curation.
[31] Webb Miller,et al. Improvements in the HbVar database of human hemoglobin variants and thalassemia mutations for population and sequence variation studies , 2004, Nucleic Acids Res..
[32] Yang Zhang,et al. I-TASSER: a unified platform for automated protein structure and function prediction , 2010, Nature Protocols.
[33] Yang Zhang,et al. I-TASSER server for protein 3D structure prediction , 2008, BMC Bioinformatics.
[34] A. D’Alessandro,et al. Proteomic analysis of red blood cells and the potential for the clinic: what have we learned so far? , 2017, Expert review of proteomics.
[35] G. Daniels. Blood grouping by molecular genetics , 2011 .
[36] Ludovic Autin,et al. In silico studies on DARC. , 2009, Infectious disorders drug targets.
[37] Jennifer M. Rust,et al. The BioGRID Interaction Database , 2011 .
[38] B. Rost. Twilight zone of protein sequence alignments. , 1999, Protein engineering.
[39] Arne Elofsson,et al. The TOPCONS web server for consensus prediction of membrane protein topology and signal peptides , 2015, Nucleic Acids Res..
[40] Hong-Bin Shen,et al. Template‐based protein structure prediction in CASP11 and retrospect of I‐TASSER in the last decade , 2016, Proteins.
[41] J. Palis. Primitive and definitive erythropoiesis in mammals , 2013, Front. Physiol..
[42] Yee Siew Choong,et al. General overview on structure prediction of twilight-zone proteins , 2015, Theoretical Biology and Medical Modelling.
[43] Jean-Christophe Gelly,et al. An empirical energy function for structural assessment of protein transmembrane domains. , 2015, Biochimie.
[44] A. Biegert,et al. HHblits: lightning-fast iterative protein sequence searching by HMM-HMM alignment , 2011, Nature Methods.
[45] L. Rénia,et al. Quantitative mass spectrometry of human reticulocytes reveal proteome‐wide modifications during maturation , 2018, British journal of haematology.
[46] W. Kabsch,et al. Dictionary of protein secondary structure: Pattern recognition of hydrogen‐bonded and geometrical features , 1983, Biopolymers.
[47] C. Etchebest,et al. Structural Model of the Anion Exchanger 1 (SLC4A1) and Identification of Transmembrane Segments Forming the Transport Site , 2013, The Journal of Biological Chemistry.
[48] María Martín,et al. Activities at the Universal Protein Resource (UniProt) , 2013, Nucleic Acids Res..
[49] J. Wiśniewski,et al. Quantitative Analysis of Human Red Blood Cell Proteome. , 2017, Journal of proteome research.
[50] W. Flegel,et al. The Rhesus Site , 2014, Transfusion Medicine and Hemotherapy.
[51] O. Daescu,et al. The proteomics and interactomics of human erythrocytes , 2013, Experimental biology and medicine.
[52] D T Jones,et al. Protein secondary structure prediction based on position-specific scoring matrices. , 1999, Journal of molecular biology.
[53] W. Delano. The PyMOL Molecular Graphics System , 2002 .
[54] Frédérique Verdier,et al. Comprehensive Proteomic Analysis of Human Erythropoiesis , 2016, Cell reports.
[55] Magnus Jöud,et al. Erythrogene: a database for in-depth analysis of the extensive variation in 36 blood group systems in the 1000 Genomes Project. , 2016, Blood advances.
[56] Albert J R Heck,et al. Quantitative erythrocyte membrane proteome analysis with Blue-native/SDS PAGE. , 2010, Journal of proteomics.
[57] K. Heesom,et al. Protein Distribution during Human Erythroblast Enucleation In Vitro , 2013, PloS one.
[58] Burkhard Rost,et al. FreeContact: fast and free software for protein contact prediction from residue co-evolution , 2014, BMC Bioinformatics.
[59] angesichts der Corona-Pandemie,et al. UPDATE , 1973, The Lancet.
[60] D. Baker,et al. Multipass membrane protein structure prediction using Rosetta , 2005, Proteins.
[61] Sebastian Kelm,et al. MEDELLER: homology-based coordinate generation for membrane proteins , 2010, Bioinform..
[62] A. D’Alessandro,et al. Native protein complexes in the cytoplasm of red blood cells. , 2013, Journal of proteome research.
[63] Thomas A. Hopf,et al. Protein 3D Structure Computed from Evolutionary Sequence Variation , 2011, PloS one.
[64] J. Sussman,et al. JSmol and the Next-Generation Web-Based Representation of 3D Molecular Structure as Applied to Proteopedia , 2013 .
[65] Simone Daminelli,et al. Extraction methods of red blood cell membrane proteins for Multidimensional Protein Identification Technology (MudPIT) analysis. , 2010, Journal of chromatography. A.
[66] Elspeth A. Bruford,et al. Genenames.org: the HGNC resources in 2015 , 2014, Nucleic Acids Res..
[67] Odile Burlet-Schiltz,et al. Extensive Analysis of the Cytoplasmic Proteome of Human Erythrocytes Using the Peptide Ligand Library Technology and Advanced Mass Spectrometry*S , 2008, Molecular & Cellular Proteomics.
[68] M. Mann,et al. Red blood cell (RBC) membrane proteomics--Part II: Comparative proteomics and RBC patho-physiology. , 2010, Journal of proteomics.
[69] The UniProt Consortium,et al. Update on activities at the Universal Protein Resource (UniProt) in 2013 , 2012, Nucleic Acids Res..
[70] K. Heesom,et al. Comparison of the Proteome of Adult and Cord Erythroid Cells, and Changes in the Proteome Following Reticulocyte Maturation* , 2016, Molecular & Cellular Proteomics.
[71] Robert Fredriksson,et al. Mapping the human membrane proteome : a majority of the human membrane proteins can be classified according to function and evolutionary origin , 2015 .
[72] A. Sali,et al. Statistical potential for assessment and prediction of protein structures , 2006, Protein science : a publication of the Protein Society.
[73] Maria Jesus Martin,et al. BioJS: an open source JavaScript framework for biological data visualization , 2013, Bioinform..
[74] A. D’Alessandro,et al. The red blood cell proteome and interactome: an update. , 2010, Journal of proteome research.
[75] M. Mann,et al. In-depth analysis of the membrane and cytosolic proteome of red blood cells. , 2006, Blood.