S
Serge Pérez
Researcher at University of Grenoble
Publications - 229
Citations - 13585
Serge Pérez is an academic researcher from University of Grenoble. The author has contributed to research in topics: Crystal structure & Conformational isomerism. The author has an hindex of 57, co-authored 224 publications receiving 12411 citations. Previous affiliations of Serge Pérez include Université de Montréal & European Synchrotron Radiation Facility.
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A database of three-dimensional structures of monosaccharides from molecular-mechanics calculations
TL;DR: A third approach, used here, employs a molecular-mechanics computer program considered to give accurate structures and energies for molecules, offering a measure of confidence in the results.
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Insights into stereochemical features of sulphated carbohydrates: X-ray crystallographic and modelling investigations.
TL;DR: The three-dimensional structures of the 2, 3, 4- and 6-monosulphates of methyl alpha-D-galactopyranoside have been determined by X-ray crystallography, extending the knowledge of the stereochemical features, such as ring conformation, sulphate geometry, hydrogen bonding and cation co-ordination, which characterize sulphated monosaccharides.
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The monosaccharide binding site of lentil lectin: an X-ray and molecular modelling study
Remy Loris,Florence Casset,Julie Bouckaert,Jurgen Pletinckx,M.-H. Dao-Thi,Freddy Poortmans,Anne Imberty,Serge Pérez,Lode Wyns +8 more
TL;DR: The X-ray crystal structure of lentil lectin in complex with α-d-glucopyranose has been determined by molecular replacement and refined to anR-value of 0.20 at 3.0 Å resolution.
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A fucose residue can mask the MUC-1 epitopes in normal and cancerous gastric mucosae
TL;DR: Computer modeling of the MUC‐I immunoreactive glycopeptide containing the H type‐3 trisaccha ride αFucl‐2βGall‐3αGalNAc‐ bound to the threonine of the PDTRP‐pentapeptide shows that the peptide epitope might be masked when the fucose is positioned over the arginine.
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Travelling on the potential energy surfaces of carbohydrates: comparative application of an exhaustive systematic conformational search with an heuristic search.
TL;DR: The CICADA algorithm proved to be a very efficient method to find most of the important minima on even very complex potential energy surfaces, and the spectral quality of the CicADA ensemble was found to be of equal quality, if not superior, to that of the exhaustive systematic grid-search method.