2,618 research outputs found
CABS-flex predictions of protein flexibility compared with NMR ensembles
Motivation: Identification of flexible regions of protein structures is
important for understanding of their biological functions. Recently, we have
developed a fast approach for predicting protein structure fluctuations from a
single protein model: the CABS-flex. CABS-flex was shown to be an efficient
alternative to conventional all-atom molecular dynamics (MD). In this work, we
evaluate CABS-flex and MD predictions by comparison with protein structural
variations within NMR ensembles.
Results: Based on a benchmark set of 140 proteins, we show that the relative
fluctuations of protein residues obtained from CABS-flex are well correlated to
those of NMR ensembles. On average, this correlation is stronger than that
between MD and NMR ensembles. In conclusion, CABS-flex is useful and
complementary to MD in predicting of protein regions that undergo
conformational changes and the extent of such changes
Combining Coarse-Grained Protein Models with Replica-Exchange All-Atom Molecular Dynamics
We describe a combination of all-atom simulations with CABS, a
well-established coarse-grained protein modeling tool, into a single multiscale
protocol. The simulation method has been tested on the C-terminal beta hairpin
of protein G, a model system of protein folding. After reconstructing atomistic
details, conformations derived from the CABS simulation were subjected to
replica-exchange molecular dynamics simulations with OPLS-AA and AMBER99sb
force fields in explicit solvent. Such a combination accelerates system
convergence several times in comparison with all-atom simulations starting from
the extended chain conformation, demonstrated by the analysis of melting
curves, the number of native-like conformations as a function of time and
secondary structure propagation. The results strongly suggest that the proposed
multiscale method could be an efficient and accurate tool for high-resolution
studies of protein folding dynamics in larger systems.Comment: 12 pages, 4 figure
Semantic Distance Modulates the N400 Event-Related Potential in Verbal Analogical Reasoning
Computational accounts have traditionally focused on mapping between structured representations as fundamental to analogical processing. However, a recent connectionist model has been used to argue that structured representations may not be necessary to solve verbal analogies. Green and colleagues (2010) have shown that brain areas associated with analogical mapping become more engaged as semantic distance increases between verbal analogy source and targets. Herein, we had participants verify verbal analogies characterized for semantic distance while we monitored their brain waves using EEG. Our results suggest that the semantic distance between the source and target of a verbal analogy does influence early semantic processing as reflected in the N400 Event-Related Potential. However, successfully differentiating valid and invalid verbal analogies engages areas of prefrontal cortex widely associated with inhibitory processing and the integration of abstract relations in working memory. Thus, it appears that traditional semantic priming alone is likely insufficient to explain the full extent of analogical processing
CABS-flex 2.0: a web server for fast simulations of flexibility of protein structures
Classical simulations of protein flexibility remain computationally
expensive, especially for large proteins. A few years ago, we developed a fast
method for predicting protein structure fluctuations that uses a single protein
model as the input. The method has been made available as the CABS-flex web
server and applied in numerous studies of protein structure-function
relationships. Here, we present a major update of the CABS-flex web server to
version 2.0. The new features include: extension of the method to significantly
larger and multimeric proteins, customizable distance restraints and simulation
parameters, contact maps and a new, enhanced web server interface. CABS-flex
2.0 is freely available at http://biocomp.chem.uw.edu.pl/CABSflex
Highly flexible protein-peptide docking using CABS-dock
Protein-peptide molecular docking is a difficult modeling problem. It is even
more challenging when significant conformational changes that may occur during
the binding process need to be predicted. In this chapter, we demonstrate the
capabilities and features of the CABS-dock server for flexible protein-peptide
docking. CABS-dock allows highly efficient modeling of full peptide flexibility
and significant flexibility of a protein receptor. During CABS-dock docking,
the peptide folding and binding process is explicitly simulated and no
information about the peptide binding site or its structure, is used. This
chapter presents a successful CABS-dock use for docking a potentially
therapeutic peptide to a protein target. Moreover, simulation contact maps, a
new CABS-dock feature, are described and applied to the docking test case.
Finally, a tutorial for running CABS-dock from the command line or command line
scripts is provided. The CABS-dock web server is available from
http://biocomp.chem.uw.edu.pl/CABSdock
Aprendizagem Histórica e narrativas históricas de jovens estudantes sobre a Guerra do Paraguai: uma experiência PDE
Anais do XVII Congresso Internacional das Jornadas de Educaão História - teoria, pesquisa e prática - I Encontro da AIPEDH - Associação Iber-Americana de Pesquisadores em Educação História, realizado pela Universidade Federal da Integração Latino-Americana, entre 02, 03 e 04 de agosto de 2017.Este texto tem por objetivo apresentar as reflexões teóricas que fundamentam a
implementação didático-pedagógica em fase de execução, de um trabalho de pesquisa do
Programa de Desenvolvimento Educacional (PDE). Buscando desenvolver uma nova relação
dos jovens estudantes com a História e favorecer a aprendizagem histórica, este estudo
encontrou fundamentos no aporte teórico da Educação Histórica e da consciência histórica.
Para Rüsen (2014) a consciência histórica é a combinação entre a apreensão do passado pela
necessidade de entender o presente e de presumir o futuro, expressa por meio das narrativas
históricas, isto é, da constituição de sentido, expresso por meio da linguagem. O conteúdo
substantivo é a Guerra do Paraguai e a metodologia de pesquisa contempla a produção de
narrativas históricas a partir do estudo de fontes históricas acerca da temáticaUFP
Modeling Protein Structure, Dynamics and Thermodynamics with Reduced Representation of Conformational Space
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