about
Rise and demise of bioinformatics? Promise and progressComputational protein design: the Proteus software and selected applications.Direct prediction of profiles of sequences compatible with a protein structure by neural networks with fragment-based local and energy-based nonlocal profilesThe Framework of Computational Protein Design.Conformational diversity and computational enzyme designThe challenges of informatics in synthetic biology: from biomolecular networks to artificial organismsOrigins of catalysis by computationally designed retroaldolase enzymes.Improving computational protein design by using structure-derived sequence profile.Computational protein design with electrostatic focusing: experimental characterization of a conditionally folded helical domain with a reduced amino acid alphabet.Computer-Aided Protein Directed Evolution: a Review of Web Servers, Databases and other Computational Tools for Protein EngineeringProtein side chain conformation predictions with an MMGBSA energy function.Energy functions in de novo protein design: current challenges and future prospects.Towards the automated engineering of a synthetic genome.Genetically engineered light sensors for control of bacterial gene expression.Perspectives on the automatic design of regulatory systems for synthetic biology.Enzyme informatics.Recent advances in rational approaches for enzyme engineering.Computational Design of a DNA- and Fc-Binding Fusion Protein.Biomolecular engineering for nanobio/bionanotechnology.UV resonance Raman studies of the NaClO4 dependence of poly-L-lysine conformation and hydrogen exchange kinetics.Pushing the limits of automatic computational protein design: design, expression, and characterization of a large synthetic protein based on a fungal laccase scaffold.Ultraviolet resonance Raman study of side chain electrostatic control of poly-L-lysine conformation.Synthetic biology: history, challenges and prospectsApplication of the thin-shell formulation to the numerical modeling of Stern layer in biomolecular electrostatics.Pairwise decomposition of an MMGBSA energy function for computational protein design.Computational protein design with a generalized Born solvent model: application to Asparaginyl-tRNA synthetase.
P2860
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P2860
description
article científic
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article scientifique
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articolo scientifico
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artigo científico
@pt
bilimsel makale
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scientific article published on 11 March 2009
@en
vedecký článok
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vetenskaplig artikel
@sv
videnskabelig artikel
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vědecký článek
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name
Challenges in the computational design of proteins
@en
Challenges in the computational design of proteins.
@nl
type
label
Challenges in the computational design of proteins
@en
Challenges in the computational design of proteins.
@nl
prefLabel
Challenges in the computational design of proteins
@en
Challenges in the computational design of proteins.
@nl
P2860
P1476
Challenges in the computational design of proteins
@en
P2093
María Suárez
P2860
P304
P356
10.1098/RSIF.2008.0508.FOCUS
P478
P577
2009-03-11T00:00:00Z