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dc.contributor.authorMonza, Emanuele
dc.contributor.authorAcebes, Sandra
dc.contributor.authorLucas, Fátima
dc.contributor.authorGuallar, Victor
dc.contributor.otherBarcelona Supercomputing Center
dc.date.accessioned2017-08-28T14:23:33Z
dc.date.available2018-03-01T01:30:23Z
dc.date.issued2017-02-15
dc.identifier.citationMonza, E. [et al.]. Molecular Modeling in Enzyme Design, Toward In Silico Guided Directed Evolution. A: "Directed Enzyme Evolution: Advances and Applications". Springer, 2017, p. 257-284.
dc.identifier.isbn978-3-319-50411-7
dc.identifier.urihttp://hdl.handle.net/2117/107196
dc.description.abstractDirected evolution (DE) creates diversity in subsequent rounds of mutagenesis in the quest of increased protein stability, substrate binding, and catalysis. Although this technique does not require any structural/mechanistic knowledge of the system, the frequency of improved mutations is usually low. For this reason, computational tools are increasingly used to focus the search in sequence space, enhancing the efficiency of laboratory evolution. In particular, molecular modeling methods provide a unique tool to grasp the sequence/structure/function relationship of the protein to evolve, with the only condition that a structural model is provided. With this book chapter, we tried to guide the reader through the state of the art of molecular modeling, discussing their strengths, limitations, and directions. In addition, we suggest a possible future template for in silico directed evolution where we underline two main points: a hierarchical computational protocol combining several different techniques and a synergic effort between simulations and experimental validation.
dc.format.extent27 p.
dc.language.isoeng
dc.publisherSpringer
dc.subjectÀrees temàtiques de la UPC::Enginyeria biomèdica
dc.subject.lcshEnzyme activation
dc.subject.lcshMolecular models
dc.subject.lcshBiotechnology
dc.subject.otherMolecular modeling
dc.subject.otherComputational tools
dc.subject.otherBiotechnology
dc.titleMolecular Modeling in Enzyme Design, Toward In Silico Guided Directed Evolution
dc.typePart of book or chapter of book
dc.subject.lemacBiotecnologia
dc.subject.lemacEnzims
dc.subject.lemacMolècules--Models
dc.identifier.doi10.1007/978-3-319-50413-1_10
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-3-319-50413-1_10/fulltext.html
dc.rights.accessOpen Access
dc.description.versionPostprint (author's final draft)
upcommons.citation.publishedtrue
upcommons.citation.publicationNameDirected Enzyme Evolution: Advances and Applications
upcommons.citation.startingPage257
upcommons.citation.endingPage284


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