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https://www.readbyqxmd.com/read/27914154/short-and-long-term-efficacy-of-laparoscopic-ovarian-diathermy-in-women-with-polycystic-ovary-syndrome
#1
Rita Luz, Joana Barros, Ana Aguiar, Cátia Rodrigues, Ana Paula Soares, Joaquim Nunes, Sandra Sousa, Carlos Calhaz-Jorge
INTRODUCTION: Polycystic ovary syndrome is the most frequent cause of anovulatory infertility and management involves a multistep approach. Laparoscopic ovarian diathermy is accepted as a second-line treatment of patients who failed to respond to clomiphene citrate. The aims of this study were to determine the efficacy of this technique at short and long-term and to perform an analysis of predictive factors of spontaneous pregnancy. MATERIAL AND METHODS: This retrospective study involved 76 women who underwent laparoscopic ovarian diathermy between 2004 and 2013 in a university hospital...
August 2016: Acta Médica Portuguesa
https://www.readbyqxmd.com/read/27914149/erratum-correction-of-funding-source-the-burden-of-cancer-in-korea-during-2012-finding-from-a-prevalence-based-approach
#2
Young Hoon Gong, Seok Jun Yoon, Min Woo Jo, Arim Kim, Young Ae Kim, Jihyun Yoon, Hyeyoung Seo, Dong Woo Kim
This corrects the article on p. S168 in vol. 31, PMID: 27775254.
January 2017: Journal of Korean Medical Science
https://www.readbyqxmd.com/read/27914110/physical-exercise-for-the-treatment-of-non-ulcerated-chronic-venous-insufficiency
#3
REVIEW
Diego N Araujo, Cibele Td Ribeiro, Alvaro Cc Maciel, Selma S Bruno, Guilherme Af Fregonezi, Fernando Al Dias
BACKGROUND: Chronic venous insufficiency (CVI) is a common disease that causes discomfort and impairs the quality of life of affected persons. Treatments such as physical exercise that aim to increase the movement of the ankle joint and strengthen the muscle pump in the calf of the leg may be useful to reduce the symptoms of CVI. OBJECTIVES: To assess and summarise the existing clinical evidence on the efficacy and safety of physical exercise programmes for the treatment of individuals with non-ulcerated CVI...
December 3, 2016: Cochrane Database of Systematic Reviews
https://www.readbyqxmd.com/read/27914099/discrepancies-between-multicriteria-decision-analysis-based-ranking-and-intuitive-ranking-for-pharmaceutical-benefit-risk-profiles-in-a-hypothetical-setting
#4
K Hoshikawa, S Ono
WHAT IS KNOWN AND OBJECTIVE: Multicriteria decision analysis (MCDA) has been generally considered a promising decision-making methodology for the assessment of drug benefit-risk profiles. There have been many discussions in both public and private sectors on its feasibility and applicability, but it has not been employed in official decision-makings. For the purpose of examining to what extent MCDA would reflect the first-hand, intuitive preference of evaluators in practical pharmaceutical assessments, we conducted a questionnaire survey involving the participation of employees of pharmaceutical companies...
December 2, 2016: Journal of Clinical Pharmacy and Therapeutics
https://www.readbyqxmd.com/read/27914087/in-vitro-and-in-vivo-biofilm-formation-by-pathogenic-streptococci
#5
Yashuan Chao, Caroline Bergenfelz, Anders P Håkansson
This manuscript presents novel approaches to grow and evaluate Streptococcal biofilm formation using the human respiratory pathogen Streptococcus pneumoniae (the pneumococcus) as the main model organism on biological surfaces in vitro and in vivo. Most biofilm models are based on growth on abiotic surfaces, which is relevant for many pathogens whose growth on surfaces or medical devices is a major cause of disease transmission and infections, especially in hospital environments. However, most infections with commensal organisms require biofilm formation on biological surfaces in the host at the site of colonization or infection...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/27914076/reconstructing-the-ancestral-relationships-between-bacterial-pathogen-genomes
#6
Caitlin Collins, Xavier Didelot
Following recent developments in DNA sequencing technology, it is now possible to sequence hundreds of whole genomes from bacterial isolates at relatively low cost. Analyzing this growing wealth of genomic data in terms of ancestral relationships can reveal many interesting aspects of the evolution, ecology, and epidemiology of bacterial pathogens. However, reconstructing the ancestry of a sample of bacteria remains challenging, especially for the majority of species where recombination is frequent. Here, we review and describe the computational techniques currently available to infer ancestral relationships, including phylogenetic methods that either ignore or account for the effect of recombination, as well as model-based and model-free phylogeny-independent approaches...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/27914072/identifying-bacterial-immune-evasion-proteins-using-phage-display
#7
Cindy Fevre, Lisette Scheepmaker, Pieter-Jan Haas
Methods aimed at identification of immune evasion proteins are mainly rely on in silico prediction of sequence, structural homology to known evasion proteins or use a proteomics driven approach. Although proven successful these methods are limited by a low efficiency and or lack of functional identification. Here we describe a high-throughput genomic strategy to functionally identify bacterial immune evasion proteins using phage display technology. Genomic bacterial DNA is randomly fragmented and ligated into a phage display vector that is used to create a phage display library expressing bacterial secreted and membrane bound proteins...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/27914063/episweep-computationally-driven-reengineering-of-therapeutic-proteins-to-reduce-immunogenicity-while-maintaining-function
#8
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
#9
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
#10
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/27914055/an-evolution-based-approach-to-de-novo-protein-design
#11
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
#12
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
#13
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/27914050/multistate-computational-protein-design-with-backbone-ensembles
#14
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
https://www.readbyqxmd.com/read/27914049/modeling-binding-affinity-of-pathological-mutations-for-computational-protein-design
#15
Miguel Romero-Durana, Chiara Pallara, Fabian Glaser, Juan Fernández-Recio
An important aspect of protein functionality is the formation of specific complexes with other proteins, which are involved in the majority of biological processes. The functional characterization of such interactions at molecular level is necessary, not only to understand biological and pathological phenomena but also to design improved, or even new interfaces, or to develop new therapeutic approaches. X-ray crystallography and NMR spectroscopy have increased the number of 3D protein complex structures deposited in the Protein Data Bank (PDB)...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/27914048/geometric-potentials-for-computational-protein-sequence-design
#16
Jie Li, Patrice Koehl
Computational protein sequence design is the rational design based on computer simulation of new protein molecules to fold to target three-dimensional structures, with the ultimate goal of designing novel functions. It requires a good understanding of the thermodynamic equilibrium properties of the protein of interest. Here, we consider the contribution of the solvent to the stability of the protein. We describe implicit solvent models, focusing on approximations of their nonpolar components using geometric potentials...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/27914047/deterministic-search-methods-for-computational-protein-design
#17
Seydou Traoré, David Allouche, Isabelle André, Thomas Schiex, Sophie Barbe
One main challenge in Computational Protein Design (CPD) lies in the exploration of the amino-acid sequence space, while considering, to some extent, side chain flexibility. The exorbitant size of the search space urges for the development of efficient exact deterministic search methods enabling identification of low-energy sequence-conformation models, corresponding either to the global minimum energy conformation (GMEC) or an ensemble of guaranteed near-optimal solutions. In contrast to stochastic local search methods that are not guaranteed to find the GMEC, exact deterministic approaches always identify the GMEC and prove its optimality in finite but exponential worst-case time...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/27914045/achievements-and-challenges-in-computational-protein-design
#18
Ilan Samish
Computational protein design (CPD), a yet evolving field, includes computer-aided engineering for partial or full de novo designs of proteins of interest. Designs are defined by a requested structure, function, or working environment. This chapter describes the birth and maturation of the field by presenting 101 CPD examples in a chronological order emphasizing achievements and pending challenges. Integrating these aspects presents the plethora of CPD approaches with the hope of providing a "CPD 101". These reflect on the broader structural bioinformatics and computational biophysics field and include: (1) integration of knowledge-based and energy-based methods, (2) hierarchical designated approach towards local, regional, and global motifs and the integration of high- and low-resolution design schemes that fit each such region, (3) systematic differential approaches towards different protein regions, (4) identification of key hot-spot residues and the relative effect of remote regions, (5) assessment of shape-complementarity, electrostatics and solvation effects, (6) integration of thermal plasticity and functional dynamics, (7) negative design, (8) systematic integration of experimental approaches, (9) objective cross-assessment of methods, and (10) successful ranking of potential designs...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/27914038/serotonin-5-ht6-receptor-antagonists-in-alzheimer-s-disease-therapeutic-rationale-and-current-development-status
#19
Hilda Ferrero, Maite Solas, Paul T Francis, Maria J Ramirez
Alzheimer's disease (AD) is the most common cause of dementia in elderly people. Because of the lack of effective treatments for this illness, research focused on identifying compounds that restore cognition and functional impairments in patients with AD is a very active field. Since its discovery in 1993, the serotonin 5-HT6 receptor has received increasing attention, and a growing number of studies supported 5-HT6 receptor antagonism as a target for improving cognitive dysfunction in AD. This article reviews the rationale behind investigations into the targeting of 5-HT6 receptors as a symptomatic treatment for cognitive and/or behavioral symptoms of AD...
December 3, 2016: CNS Drugs
https://www.readbyqxmd.com/read/27914015/electron-transfer-dissociation-of-all-ions-at-all-times-ms-etd-in-a-quadrupole-time-of-flight-q-tof-mass-spectrometer
#20
Christian N Cramer, Jeffery M Brown, Nick Tomczyk, Peter Kresten Nielsen, Kim F Haselmann
Data-independent mass spectral acquisition is particularly powerful when combined with ultra-performance liquid chromatography (LC) that provides excellent separation of most components present in a given sample. Data-independent analysis (DIA) consists of alternating full MS scans and scans with fragmentation of all ions within a selected m/z range, providing precursor masses and structure information, respectively. Fragmentation spectra are acquired either by sequential isolation and fragmentation of sliding m/z ranges or fragmenting all ions entering the MS instrument with no ion isolation, termed broadband DIA...
December 2, 2016: Journal of the American Society for Mass Spectrometry
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