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https://www.readbyqxmd.com/read/27914171/clinical-feasibility-of-brain-computer-interface-based-on-steady-state-visual-evoked-potential-in-patients-with-locked-in-syndrome-case-studies
#1
Han-Jeong Hwang, Chang-Hee Han, Jeong-Hwan Lim, Yong-Wook Kim, Soo-In Choi, Kwang-Ok An, Jun-Hak Lee, Ho-Seung Cha, Seung Hyun Kim, Chang-Hwan Im
Although the feasibility of brain-computer interface (BCI) systems based on steady-state visual evoked potential (SSVEP) has been extensively investigated, only a few studies have evaluated its clinical feasibility in patients with locked-in syndrome (LIS), who are the main targets of BCI technology. The main objective of this case report was to share our experiences of SSVEP-based BCI experiments involving five patients with LIS, thereby providing researchers with useful information that can potentially help them to design BCI experiments for patients with LIS...
December 3, 2016: Psychophysiology
https://www.readbyqxmd.com/read/27914125/having-a-physician-rather-than-a-place-as-a-usual-source-of-care-would-be-better-from-2012-korea-health-panel-data
#2
Kyeong Min Kim, Hyunsoo Jeon, Jae Ho Lee
A usual source of care (USC) in primary care improves health care quality and can result in improved health. However, current research about the type of USC (place only vs. physician with a place) is insufficient as an evidence to support the value of primary care. We analyzed data from the 2012 Korea Health Panel survey of adults aged 18 years or older (n = 11,873) who reported whether having a USC or not to compare the effects by type of USC on medical care use and out-of-pocket costs. Descriptive analysis showed significant differences in the distributions of sociodemographic and health status factors except frequency of outpatient visit by type of USC...
January 2017: Journal of Korean Medical Science
https://www.readbyqxmd.com/read/27914122/design-synthesis-and-structure-activity-relationships-of-bavachinin-analogues-as-peroxisome-proliferator-activated-receptor-%C3%AE-agonists
#3
Guoxin Du, Yuanyuan Zhao, Li Feng, Zhuo Yang, Jiye Shi, Cheng Huang, Bo Li, Fujiang Guo, Weiliang Zhu, Yiming Li
Bavachinin analogues with systematic modifications at the A-, B-, and C-rings were designed, synthesized, and subjected to in vitro bioevaluation as peroxisome proliferator-activated receptor γ (PPAR-γ) agonists. In total, 30 molecules, including flavanone and flavone analogues, were evaluated by reporter gene assays for the PPAR-γ agonist activity. Preliminary structure-activity relationships of PPAR-γ agonist activity of bavachinin analogues were initially summarized and analogues 2b, 3, 4a, 4b, 11c, 11d, and 12b were found with higher PPAR-γ agonist activities compared to bavachinin...
December 3, 2016: ChemMedChem
https://www.readbyqxmd.com/read/27914066/computational-tools-for-allosteric-drug-discovery-site-identification-and-focus-library-design
#4
Wenkang Huang, Ruth Nussinov, Jian Zhang
Allostery is an intrinsic phenomenon of biological macromolecules involving regulation and/or signal transduction induced by a ligand binding to an allosteric site distinct from a molecule's active site. Allosteric drugs are currently receiving increased attention in drug discovery because drugs that target allosteric sites can provide important advantages over the corresponding orthosteric drugs including specific subtype selectivity within receptor families. Consequently, targeting allosteric sites, instead of orthosteric sites, can reduce drug-related side effects and toxicity...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/27914065/computational-design-of-membrane-curvature-sensing-peptides
#5
Armando Jerome de Jesus, Hang Yin
Computer simulations have become an indispensable tool in studying molecular biological systems. The unmatched spatial and temporal resolution that it offers enables for microscopic-level views into the dynamics and mechanics of biological systems. Recent advances in hardware resources have also opened up to computer simulations the investigation of longer timescale biological processes and larger systems. The study of membrane proteins or peptides especially benefits from simulations due to difficulties related to crystallization of such proteins in a membrane environment...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/27914064/computational-tools-for-aiding-rational-antibody-design
#6
Konrad Krawczyk, James Dunbar, Charlotte M Deane
Antibodies are a group of proteins responsible for mediating immune reactions in vertebrates. They are able to bind a variety of structural motifs on noxious molecules tagging them for elimination from the organism. As a result of their versatile binding properties, antibodies are currently one of the most important classes of biopharmaceuticals. In this chapter, we discuss how knowledge-based computational methods can aid experimentalists in the development of potent antibodies. When using common experimental methods for antibody development, we often know the sequence of an antibody that binds to our molecule, antigen, of interest...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/27914063/episweep-computationally-driven-reengineering-of-therapeutic-proteins-to-reduce-immunogenicity-while-maintaining-function
#7
Yoonjoo Choi, Deeptak Verma, Karl E Griswold, Chris Bailey-Kellogg
Therapeutic proteins are yielding ever more advanced and efficacious new drugs, but the biological origins of these highly effective therapeutics render them subject to immune surveillance within the patient's body. When recognized by the immune system as a foreign agent, protein drugs elicit a coordinated response that can manifest a range of clinical complications including rapid drug clearance, loss of functionality and efficacy, delayed infusion-like allergic reactions, more serious anaphylactic shock, and even induced auto-immunity...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/27914062/computational-design-of-ligand-binding-proteins
#8
Christine E Tinberg, Sagar D Khare
The ability to design novel small-molecule binding sites in proteins is a stringent test of our understanding of the principles of molecular recognition, and would have many practical applications, in synthetic biology and medicine. Here, we describe a computational method in the context of the macromolecular modeling suite Rosetta to designing proteins with sites featuring predetermined interactions to ligands of choice. The required inputs for the method are a model of the small molecule and the desired interactions (e...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/27914061/probing-oligomerized-conformations-of-defensin-in-the-membrane
#9
Wenxun Gan, Dina Schneidman, Ning Zhang, Buyong Ma, Ruth Nussinov
Computational prediction and design of membrane protein-protein interactions facilitate biomedical engineering and biotechnological applications. Due to their antimicrobial activity, human defensins play an important role in the innate immune system. Human defensins are attractive pharmaceutical targets due to their small size, broad activity spectrum, reduced immunogenicity, and resistance to proteolysis. Protein engineering based modification of defensins can improve their pharmaceutical properties. Here we present an approach to computationally probe defensins' oligomerization states in the membrane...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/27914060/a-protocol-for-the-design-of-protein-and-peptide-nanostructure-self-assemblies-exploiting-synthetic-amino-acids
#10
Nurit Haspel, Jie Zheng, Carlos Aleman, David Zanuy, Ruth Nussinov
In recent years there has been increasing interest in nanostructure design based on the self-assembly properties of proteins and polymers. Nanodesign requires the ability to predictably manipulate the properties of the self-assembly of autonomous building blocks, which can fold or aggregate into preferred conformational states. The design includes functional synthetic materials and biological macromolecules. Autonomous biological building blocks with available 3D structures provide an extremely rich and useful resource...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/27914059/evolution-inspired-computational-design-of-symmetric-proteins
#11
Arnout R D Voet, David Simoncini, Jeremy R H Tame, Kam Y J Zhang
Monomeric proteins with a number of identical repeats creating symmetrical structures are potentially very valuable building blocks with a variety of bionanotechnological applications. As such proteins do not occur naturally, the emerging field of computational protein design serves as an excellent tool to create them from nonsymmetrical templates. Existing pseudo-symmetrical proteins are believed to have evolved from oligomeric precursors by duplication and fusion of identical repeats. Here we describe a computational workflow to reverse-engineer this evolutionary process in order to create stable proteins consisting of identical sequence repeats...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/27914058/osprey-predicts-resistance-mutations-using-positive-and-negative-computational-protein-design
#12
Adegoke Ojewole, Anna Lowegard, Pablo Gainza, Stephanie M Reeve, Ivelin Georgiev, Amy C Anderson, Bruce R Donald
Drug resistance in protein targets is an increasingly common phenomenon that reduces the efficacy of both existing and new antibiotics. However, knowledge of future resistance mutations during pre-clinical phases of drug development would enable the design of novel antibiotics that are robust against not only known resistant mutants, but also against those that have not yet been clinically observed. Computational structure-based protein design (CSPD) is a transformative field that enables the prediction of protein sequences with desired biochemical properties such as binding affinity and specificity to a target...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/27914057/bindml-bindml-detecting-protein-protein-interaction-interface-propensity-from-amino-acid-substitution-patterns
#13
Qing Wei, David La, Daisuke Kihara
Prediction of protein-protein interaction sites in a protein structure provides important information for elucidating the mechanism of protein function and can also be useful in guiding a modeling or design procedures of protein complex structures. Since prediction methods essentially assess the propensity of amino acids that are likely to be part of a protein docking interface, they can help in designing protein-protein interactions. Here, we introduce BindML and BindML+ protein-protein interaction sites prediction methods...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/27914056/parallel-computational-protein-design
#14
Yichao Zhou, Bruce R Donald, Jianyang Zeng
Computational structure-based protein design (CSPD) is an important problem in computational biology, which aims to design or improve a prescribed protein function based on a protein structure template. It provides a practical tool for real-world protein engineering applications. A popular CSPD method that guarantees to find the global minimum energy solution (GMEC) is to combine both dead-end elimination (DEE) and A* tree search algorithms. However, in this framework, the A* search algorithm can run in exponential time in the worst case, which may become the computation bottleneck of large-scale computational protein design process...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/27914055/an-evolution-based-approach-to-de-novo-protein-design
#15
Jeffrey R Brender, David Shultis, Naureen Aslam Khattak, Yang Zhang
EvoDesign is a computational algorithm that allows the rapid creation of new protein sequences that are compatible with specific protein structures. As such, it can be used to optimize protein stability, to resculpt the protein surface to eliminate undesired protein-protein interactions, and to optimize protein-protein binding. A major distinguishing feature of EvoDesign in comparison to other protein design programs is the use of evolutionary information in the design process to guide the sequence search toward native-like sequences known to adopt structurally similar folds as the target...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/27914054/computational-protein-design-through-grafting-and-stabilization
#16
Cheng Zhu, David D Mowrey, Nikolay V Dokholyan
Computational grafting of target residues onto existing protein scaffolds is a powerful method for the design of proteins with novel function. In the grafting method side chain mutations are introduced into a preexisting protein scaffold to recreate a target functional motif. The success of this approach relies on two primary criteria: (1) the availability of compatible structural scaffolds, and (2) the introduction of mutations that do not affect the protein structure or stability. To identify compatible structural motifs we use the Erebus webserver, to search the protein data bank (PDB) for user-defined structural scaffolds...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/27914053/computational-protein-design-under-a-given-backbone-structure-with-the-abacus-statistical-energy-function
#17
Peng Xiong, Quan Chen, Haiyan Liu
An important objective of computational protein design is to identify amino acid sequences that stably fold into a given backbone structure. A general approach to this problem is to minimize an energy function in the sequence space. We have previously reported a method to derive statistical energies for fixed-backbone protein design and showed that it led to de novo proteins that fold as expected. Here, we present the usage of the program that implements this method, which we now name as ABACUS (A Backbone-based Amino aCid Usage Survey)...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/27914052/applications-of-normal-mode-analysis-methods-in-computational-protein-design
#18
Vincent Frappier, Matthieu Chartier, Rafael Najmanovich
Recent advances in coarse-grained normal mode analysis methods make possible the large-scale prediction of the effect of mutations on protein stability and dynamics as well as the generation of biologically relevant conformational ensembles. Given the interplay between flexibility and enzymatic activity, the combined analysis of stability and dynamics using the Elastic Network Contact Model (ENCoM) method has ample applications in protein engineering in industrial and medical applications such as in computational antibody design...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/27914051/integration-of-molecular-dynamics-based-predictions-into-the-optimization-of-de-novo-protein-designs-limitations-and-benefits
#19
Henrique F Carvalho, Arménio J M Barbosa, Ana C A Roque, Olga Iranzo, Ricardo J F Branco
Recent advances in de novo protein design have gained considerable insight from the intrinsic dynamics of proteins, based on the integration of molecular dynamics simulations protocols on the state-of-the-art de novo protein design protocols used nowadays. With this protocol we illustrate how to set up and run a molecular dynamics simulation followed by a functional protein dynamics analysis. New users will be introduced to some useful open-source computational tools, including the GROMACS molecular dynamics simulation software package and ProDy for protein structural dynamics analysis...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/27914050/multistate-computational-protein-design-with-backbone-ensembles
#20
James A Davey, Roberto A Chica
The ability of computational protein design (CPD) to identify protein sequences possessing desired characteristics in vast sequence spaces makes it a highly valuable tool in the protein engineering toolbox. CPD calculations are typically performed using a single-state design (SSD) approach in which amino-acid sequences are optimized on a single protein structure. Although SSD has been successfully applied to the design of numerous protein functions and folds, the approach can lead to the incorrect rejection of desirable sequences because of the combined use of a fixed protein backbone template and a set of rigid rotamers...
2017: Methods in Molecular Biology
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