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dc.contributor.authorSimonson, T.en
dc.contributor.authorGaillard, T.en
dc.contributor.authorMignon, D.en
dc.contributor.authorSchmidt Am Busch, M.en
dc.contributor.authorLopes, A.en
dc.contributor.authorAmara, Najetteen
dc.contributor.authorPolydorides, Savvasen
dc.contributor.authorSedano, A.en
dc.contributor.authorDruart, Karenen
dc.contributor.authorArchontis, Georgios Z.en
dc.creatorSimonson, T.en
dc.creatorGaillard, T.en
dc.creatorMignon, D.en
dc.creatorSchmidt Am Busch, M.en
dc.creatorLopes, A.en
dc.creatorAmara, Najetteen
dc.creatorPolydorides, Savvasen
dc.creatorSedano, A.en
dc.creatorDruart, Karenen
dc.creatorArchontis, Georgios Z.en
dc.date.accessioned2019-12-02T15:32:38Z
dc.date.available2019-12-02T15:32:38Z
dc.date.issued2013
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/59049
dc.description.abstractWe describe an automated procedure for protein design, implemented in a flexible software package, called Proteus. System setup and calculation of an energy matrix are done with the XPLOR modeling program and its sophisticated command language, supporting several force fields and solvent models. A second program provides algorithms to search sequence space. It allows a decomposition of the system into groups, which can be combined in different ways in the energy function, for both positive and negative design. The whole procedure can be controlled by editing 2-4 scripts. Two applications consider the tyrosyl-tRNA synthetase enzyme and its successful redesign to bind both O-methyl-tyrosine and D-tyrosine. For the latter, we present Monte Carlo simulations where the D-tyrosine concentration is gradually increased, displacing L-tyrosine from the binding pocket and yielding the binding free energy difference, in good agreement with experiment. Complete redesign of the Crk SH3 domain is presented. The top 10000 sequences are all assigned to the correct fold by the SUPERFAMILY library of Hidden Markov Models. Finally, we report the acid/base behavior of the SNase protein. Sidechain protonation is treated as a form of mutationen
dc.description.abstractit is then straightforward to perform constant-pH Monte Carlo simulations, which yield good agreement with experiment. Overall, the software can be used for a wide range of application, producing not only native-like sequences but also thermodynamic properties with errors that appear comparable to other current software packages. © 2013 Wiley Periodicals, Inc.en
dc.sourceJournal of Computational Chemistryen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-84884907308&doi=10.1002%2fjcc.23418&partnerID=40&md5=32f9a91d1ee914f3e2e8eecfdf53ba30
dc.subjectMonte Carlo methodsen
dc.subjectarticleen
dc.subjectAlgorithmsen
dc.subjectalgorithmen
dc.subjectcomputer programen
dc.subjectComputational Biologyen
dc.subjectdrug derivativeen
dc.subjectmetabolismen
dc.subjectoncoproteinen
dc.subjectproteinen
dc.subjectMonte Carlo methoden
dc.subjectchemistryen
dc.subjectSrc homology domainen
dc.subjectSoftwareen
dc.subjectbiologyen
dc.subjectHidden Markov modelsen
dc.subjectcomputer simulationen
dc.subjectExperimentsen
dc.subjectchemical structureen
dc.subjectpHen
dc.subjectBiochemical engineeringen
dc.subjectHydrogen-Ion Concentrationen
dc.subjectBinding energyen
dc.subjectmolecular dynamicsen
dc.subjectApplication programsen
dc.subjectProteinsen
dc.subjecttyrosineen
dc.subjectModels, Molecularen
dc.subjectMolecular Dynamics Simulationen
dc.subjectAmino acidsen
dc.subjectmolecular recognitionen
dc.subjectEnergy functionsen
dc.subjectComputational protein designen
dc.subjectTyrosine-tRNA Ligaseen
dc.subjectMonte Carloen
dc.subjectaminoacyl-tRNA synthetaseen
dc.subjectAutomated proceduresen
dc.subjectBinding free energyen
dc.subjectBinding pocketsen
dc.subjectModel programsen
dc.subjectprotein engineeringen
dc.subjectprotein unfoldingen
dc.subjectProto-Oncogene Proteins c-crken
dc.subjectSoftware packagesen
dc.subjectsrc Homology Domainsen
dc.subjectSynthetasesen
dc.subjecttyrosine transfer RNA ligaseen
dc.titleComputational protein design: The proteus software and selected applicationsen
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1002/jcc.23418
dc.description.volume34
dc.description.issue28
dc.description.startingpage2472
dc.description.endingpage2484
dc.author.facultyΣχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences
dc.author.departmentΤμήμα Φυσικής / Department of Physics
dc.type.uhtypeArticleen
dc.description.notes<p>Cited By :15</p>en
dc.source.abbreviationJ.Comput.Chem.en
dc.contributor.orcidArchontis, Georgios Z. [0000-0002-7750-8641]
dc.gnosis.orcid0000-0002-7750-8641


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