Publications
2021
Westhof E, Leontis N B
An RNA-centric historical narrative around the Protein Data Bank Article de journal
Dans: J Biol Chem, vol. 296, p. 100555, 2021, ISBN: 33744291, (1083-351X (Electronic) 0021-9258 (Linking) Journal Article Review).
Résumé | Liens | BibTeX | Étiquettes: Computational Biology, Databases, modelling, Protein Data Bank, RNA, Structural biology, Unité ARN, WESTHOF
@article{Westhof2021,
title = {An RNA-centric historical narrative around the Protein Data Bank},
author = {E Westhof and N B Leontis},
url = {http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&dopt=Citation&list_uids=33744291},
doi = {10.1016/j.jbc.2021.100555},
isbn = {33744291},
year = {2021},
date = {2021-01-01},
urldate = {2021-01-01},
journal = {J Biol Chem},
volume = {296},
pages = {100555},
abstract = {Some of the amazing contributions brought to the scientific community by the PDB are described. The focus is on nucleic acid structures with a bias towards RNA. The evolution and key roles in science of the PDB and other structural databases for nucleic acids illustrate how small initial ideas can become huge and indispensable resources with the unflinching willingness of scientists to cooperate globally. The progress in the understanding of the molecular interactions driving RNA architectures followed the rapid increase in RNA structures in the PDB. That increase was consecutive to improvements in chemical synthesis and purification of RNA molecules, as well as in biophysical methods for structure determination and computer technology. The RNA modeling efforts from the early beginnings are also described together with their links to the state of structural knowledge and technological development. Structures of RNA and of its assemblies are physical objects which, together with genomic data, allow us to integrate present-day biological functions and the historical evolution in all living species on earth.},
note = {1083-351X (Electronic)
0021-9258 (Linking)
Journal Article
Review},
keywords = {Computational Biology, Databases, modelling, Protein Data Bank, RNA, Structural biology, Unité ARN, WESTHOF},
pubstate = {published},
tppubtype = {article}
}
2002
Christophides George K, Zdobnov Evgeny, Barillas-Mury Carolina, Birney Ewan, Blandin Stephanie A, Blass Claudia, Brey Paul T, Collins Frank H, Danielli Alberto, Dimopoulos George, Hetru Charles, Hoa Ngo T, Hoffmann Jules A, Kanzok Stefan M, Letunic Ivica, Levashina Elena A, Loukeris Thanasis G, Lycett Gareth, Meister Stephan, Michel Kristin, Moita Luis F, Müller Hans-Michael, Osta Mike A, Paskewitz Susan M, Reichhart Jean-Marc, Rzhetsky Andrey, Troxler Laurent, Vernick Kenneth D, Vlachou Dina, Volz Jennifer, von Mering Christian, Xu Jiannong, Zheng Liangbiao, Bork Peer, Kafatos Fotis C
Immunity-related genes and gene families in Anopheles gambiae Article de journal
Dans: Science, vol. 298, no. 5591, p. 159–165, 2002, ISSN: 1095-9203.
Résumé | Liens | BibTeX | Étiquettes: Alternative Splicing, Animals, Anopheles, Apoptosis, bacteria, bioinformatic, blandin, Catechol Oxidase, Computational Biology, Enzyme Precursors, Gene Expression Regulation, Genes, Genetic, Genome, hoffmann, Immunity, Innate, Insect, Insect Proteins, M3i, Multigene Family, Peptides, Phylogeny, Plasmodium, Protein Structure, reichhart, Selection, Serine Endopeptidases, Serpins, Signal Transduction, Tertiary
@article{christophides_immunity-related_2002,
title = {Immunity-related genes and gene families in Anopheles gambiae},
author = {George K Christophides and Evgeny Zdobnov and Carolina Barillas-Mury and Ewan Birney and Stephanie A Blandin and Claudia Blass and Paul T Brey and Frank H Collins and Alberto Danielli and George Dimopoulos and Charles Hetru and Ngo T Hoa and Jules A Hoffmann and Stefan M Kanzok and Ivica Letunic and Elena A Levashina and Thanasis G Loukeris and Gareth Lycett and Stephan Meister and Kristin Michel and Luis F Moita and Hans-Michael Müller and Mike A Osta and Susan M Paskewitz and Jean-Marc Reichhart and Andrey Rzhetsky and Laurent Troxler and Kenneth D Vernick and Dina Vlachou and Jennifer Volz and Christian von Mering and Jiannong Xu and Liangbiao Zheng and Peer Bork and Fotis C Kafatos},
url = {http://www.ncbi.nlm.nih.gov/pubmed/12364793},
doi = {10.1126/science.1077136},
issn = {1095-9203},
year = {2002},
date = {2002-10-01},
journal = {Science},
volume = {298},
number = {5591},
pages = {159--165},
abstract = {We have identified 242 Anopheles gambiae genes from 18 gene families implicated in innate immunity and have detected marked diversification relative to Drosophila melanogaster. Immune-related gene families involved in recognition, signal modulation, and effector systems show a marked deficit of orthologs and excessive gene expansions, possibly reflecting selection pressures from different pathogens encountered in these insects' very different life-styles. In contrast, the multifunctional Toll signal transduction pathway is substantially conserved, presumably because of counterselection for developmental stability. Representative expression profiles confirm that sequence diversification is accompanied by specific responses to different immune challenges. Alternative RNA splicing may also contribute to expansion of the immune repertoire.},
keywords = {Alternative Splicing, Animals, Anopheles, Apoptosis, bacteria, bioinformatic, blandin, Catechol Oxidase, Computational Biology, Enzyme Precursors, Gene Expression Regulation, Genes, Genetic, Genome, hoffmann, Immunity, Innate, Insect, Insect Proteins, M3i, Multigene Family, Peptides, Phylogeny, Plasmodium, Protein Structure, reichhart, Selection, Serine Endopeptidases, Serpins, Signal Transduction, Tertiary},
pubstate = {published},
tppubtype = {article}
}