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Julien Maupetit

Researcher at Paris Diderot University

Publications -  18
Citations -  2690

Julien Maupetit is an academic researcher from Paris Diderot University. The author has contributed to research in topics: Web application & Personal computer. The author has an hindex of 11, co-authored 18 publications receiving 2342 citations. Previous affiliations of Julien Maupetit include Centre national de la recherche scientifique & University of Paris.

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PEP-FOLD: an updated de novo structure prediction server for both linear and disulfide bonded cyclic peptides

TL;DR: An updated version of PEP-FOLD is presented allowing the treatment of both linear and disulphide bonded cyclic peptides with 9–36 amino acids, and the server makes possible to define disULphide bonds and any residue–residue proximity under the guidance of the biologists.
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Improved PEP-FOLD Approach for Peptide and Miniprotein Structure Prediction.

TL;DR: The results indicate that if the coarse-grained PEP-FOLD2 method is approaching maturity, the authors are not at the end of the game of mini-protein structure prediction, but this opens new perspectives for large-scale in silico experiments.
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PEP-FOLD: an online resource for de novo peptide structure prediction

TL;DR: PEP-FOLD, an online service, aimed at de novo modelling of 3D conformations for peptides between 9 and 25 amino acids in aqueous solution, finds that it locates lowest energy conformations differing by 2.6 Å Cα root mean square deviation from the full NMR structures.
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Mobyle: a new full web bioinformatics framework

TL;DR: The Mobyle system is designed to provide a flexible and usable Web environment for defining and running bioinformatics analyses that embeds simple yet powerful data management features that allow the user to reproduce analyses and to combine tools using a hierarchical typing system.
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fpocket: online tools for protein ensemble pocket detection and tracking.

TL;DR: Fpocket as discussed by the authors is a small-molecule pocket detection program, relying on the geometric alpha-sphere theory, which allows the identification of cavities for structure-based drug discovery or functional annotation of structures.