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Bioinformatics & Computational Biology

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https://www.readbyqxmd.com/read/28631251/regulation-of-cardiac-myocyte-cell-death-and-differentiation-by-myocardin
#1
REVIEW
Joseph W Gordon
Myocardin is a cardiac- and smooth muscle-enriched transcriptional co-activator that was originally described as an interacting partner of the serum response factor. Shortly after myocardin's discovery, a wealth of published literature described the role of myocardin as a regulator of smooth muscle differentiation and phenotype modulation, while gene-targeting studies confirmed the essential role of myocardin in vascular development. More recently, myocardin has been implicated as an important regulator of cardiac myocyte differentiation in studies demonstrating direct programming of fibroblasts towards the cardiac lineage...
June 19, 2017: Molecular and Cellular Biochemistry
https://www.readbyqxmd.com/read/28625714/proteomic-analysis-of-seminal-plasma-from-locally-adapted-curraleiro-p%C3%A3-duro-bulls-bos-taurus-identifying-biomarkers-involved-in-sperm-physiology-in-endangered-animals-for-conservation-of-biodiversity
#2
E B Menezes, R V de Oliveira, M F van Tilburg, E A Barbosa, N V Nascimento, A L M C S Velho, F B Moreno, R A Moreira, A C O Monteiro-Moreira, G M C Carvalho, A F Ramos, E Memili, A A Moura
The present study was aimed at evaluating the seminal plasma proteins and sperm parameters of Curraleiro Pé-Duro bulls. Semen was collected from 10 bulls by electroejaculation, and sperm parameters were evaluated in fresh and frozen-thawed semen. Seminal plasma proteins were analyzed by 2-D SDS-PAGE and mass spectrophotometry. Tools in computational biology were used to generate bioinformatic knowledge and evaluate gene ontology, protein-protein interactions, phylogenetic trees and multiple sequence alignments...
May 29, 2017: Animal Reproduction Science
https://www.readbyqxmd.com/read/28625502/a-computable-phenotype-improves-cohort-ascertainment-in-a-pediatric-pulmonary-hypertension-registry
#3
Alon Geva, Jessica L Gronsbell, Tianxi Cai, Tianrun Cai, Shawn N Murphy, Jessica C Lyons, Michelle M Heinz, Marc D Natter, Nandan Patibandla, Jonathan Bickel, Mary P Mullen, Kenneth D Mandl
OBJECTIVES: To compare registry and electronic health record (EHR) data mining approaches for cohort ascertainment in patients with pediatric pulmonary hypertension (PH) in an effort to overcome some of the limitations of registry enrollment alone in identifying patients with particular disease phenotypes. STUDY DESIGN: This study was a single-center retrospective analysis of EHR and registry data at Boston Children's Hospital. The local Informatics for Integrating Biology and the Bedside (i2b2) data warehouse was queried for billing codes, prescriptions, and narrative data related to pediatric PH...
June 15, 2017: Journal of Pediatrics
https://www.readbyqxmd.com/read/28617229/analyzing-the-field-of-bioinformatics-with-the-multi-faceted-topic-modeling-technique
#4
Go Eun Heo, Keun Young Kang, Min Song, Jeong-Hoon Lee
BACKGROUND: Bioinformatics is an interdisciplinary field at the intersection of molecular biology and computing technology. To characterize the field as convergent domain, researchers have used bibliometrics, augmented with text-mining techniques for content analysis. In previous studies, Latent Dirichlet Allocation (LDA) was the most representative topic modeling technique for identifying topic structure of subject areas. However, as opposed to revealing the topic structure in relation to metadata such as authors, publication date, and journals, LDA only displays the simple topic structure...
May 31, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/28609295/clubber-removing-the-bioinformatics-bottleneck-in-big-data-analyses
#5
Maximilian Miller, Chengsheng Zhu, Yana Bromberg
With the advent of modern day high-throughput technologies, the bottleneck in biological discovery has shifted from the cost of doing experiments to that of analyzing results. clubber is our automated cluster-load balancing system developed for optimizing these "big data" analyses. Its plug-and-play framework encourages re-use of existing solutions for bioinformatics problems. clubber's goals are to reduce computation times and to facilitate use of cluster computing. The first goal is achieved by automating the balance of parallel submissions across available high performance computing (HPC) resources...
June 13, 2017: Journal of Integrative Bioinformatics
https://www.readbyqxmd.com/read/28609292/knowledge-discovery-in-biological-databases-for-revealing-candidate-genes-linked-to-complex-phenotypes
#6
Keywan Hassani-Pak, Christopher Rawlings
Genetics and "omics" studies designed to uncover genotype to phenotype relationships often identify large numbers of potential candidate genes, among which the causal genes are hidden. Scientists generally lack the time and technical expertise to review all relevant information available from the literature, from key model species and from a potentially wide range of related biological databases in a variety of data formats with variable quality and coverage. Computational tools are needed for the integration and evaluation of heterogeneous information in order to prioritise candidate genes and components of interaction networks that, if perturbed through potential interventions, have a positive impact on the biological outcome in the whole organism without producing negative side effects...
June 13, 2017: Journal of Integrative Bioinformatics
https://www.readbyqxmd.com/read/28582565/isambard-an-open-source-computational-environment-for-biomolecular-analysis-modelling-and-design
#7
Christopher W Wood, Jack W Heal, Andrew R Thomson, Gail J Bartlett, Amaurys A Ibarra, R Leo Brady, Richard B Sessions, Derek N Woolfson
Motivation: The rational design of biomolecules is becoming a reality. However, further computational tools are needed to facilitate and accelerate this, and to make it accessible to more users. Results: Here we introduce ISAMBARD, a tool for structural analysis, model building and rational design of biomolecules. ISAMBARD is open-source, modular, computationally scalable and intuitive to use. These features allow non-experts to explore biomolecular design in silico ...
June 5, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28575140/optimizing-drug-development-in-oncology-by-clinical-trial-simulation-why-and-how
#8
Jocelyn Gal, Gérard Milano, Jean-Marc Ferrero, Esma Saâda-Bouzid, Julien Viotti, Sylvie Chabaud, Paul Gougis, Christophe Le Tourneau, Renaud Schiappa, Agnes Paquet, Emmanuel Chamorey
In therapeutic research, the safety and efficacy of pharmaceutical products are necessarily tested on humans via clinical trials after an extensive and expensive preclinical development period. Methodologies such as computer modeling and clinical trial simulation (CTS) might represent a valuable option to reduce animal and human assays. The relevance of these methods is well recognized in pharmacokinetics and pharmacodynamics from the preclinical phase to postmarketing. However, they are barely used and are poorly regarded for drug approval, despite Food and Drug Administration and European Medicines Agency recommendations...
May 29, 2017: Briefings in Bioinformatics
https://www.readbyqxmd.com/read/28571482/introduction-to-selected-papers-from-the-8th-international-conference-on-bioinformatics-and-computational-biology-bicob-2016
#9
Nurit Haspel, Thomas Ioerger, Hisham Al-Mubaid
No abstract text is available yet for this article.
June 1, 2017: Journal of Bioinformatics and Computational Biology
https://www.readbyqxmd.com/read/28547747/deciphering-common-recognition-principles-of-nucleoside-mono-di-and-tri-phosphates-binding-in-diverse-proteins-via-structural-matching-of-their-binding-sites
#10
Raghu Bhagavat, Narayanaswamy Srinivasan, Nagasuma Chandra
Nucleoside triphosphate (NTP) ligands are of high biological importance and essential for all life forms. A pre-requisite for them to participate in diverse biochemical processes is their recognition by diverse proteins. It is thus of great interest to understand the basis for such recognition in different proteins. Towards this, we have employed a structural bioinformatics approach and analyse structures of 4677 NTP complexes available in PDB. Binding sites were extracted and compared exhaustively by using PocketMatch, a sensitive in-house site comparison algorithm, which resulted in grouping the entire dataset into 27 site-types...
May 25, 2017: Proteins
https://www.readbyqxmd.com/read/28542514/panweb-a-web-interface-for-pan-genomic-analysis
#11
Yan Pantoja, Kenny Pinheiro, Allan Veras, Fabrício Araújo, Ailton Lopes de Sousa, Luis Carlos Guimarães, Artur Silva, Rommel T J Ramos
With increased production of genomic data since the advent of next-generation sequencing (NGS), there has been a need to develop new bioinformatics tools and areas, such as comparative genomics. In comparative genomics, the genetic material of an organism is directly compared to that of another organism to better understand biological species. Moreover, the exponentially growing number of deposited prokaryote genomes has enabled the investigation of several genomic characteristics that are intrinsic to certain species...
2017: PloS One
https://www.readbyqxmd.com/read/28541404/m2align-parallel-multiple-sequence-alignment-with-a-multi-objective-metaheuristic
#12
Cristian Zambrano-Vega, Antonio J Nebro, José García-Nieto, José F Aldana Montes
Motivation: Multiple Sequence Alignment (MSA) is an NP-complete optimization problem found in computational biology, where the time complexity of finding an optimal alignment raises exponentially along with the number of sequences and their lengths. Additionally, to assess the quality of a MSA, a number of objectives can be taken into account, such as maximizing the sum-of-pairs, maximizing the totally conserved columns, minimizing the number of gaps, or maximizing structural information based scores such as STRIKE...
May 24, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28535296/metasra-normalized-human-sample-specific-metadata-for-the-sequence-read-archive
#13
Matthew N Bernstein, AnHai Doan, Colin N Dewey
Motivation: The NCBI's Sequence Read Archive (SRA) promises great biological insight if one could analyze the data in the aggregate; however, the data remain largely underutilized, in part, due to the poor structure of the metadata associated with each sample. The rules governing submissions to the SRA do not dictate a standardized set of terms that should be used to describe the biological samples from which the sequencing data are derived. As a result, the metadata include many synonyms, spelling variants, and references to outside sources of information...
May 23, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28533216/a-diverse-community-to-study-communities-integration-of-experiments-and-mathematical-models-to-study-microbial-consortia
#14
Antonella Succurro, Fiona Wanjiku Moejes, Oliver Ebenhöh
The last few years have seen the advancement of high-throughput experimental techniques produce an extraordinary amount of data. Bioinformatics and statistical analyses have become instrumental to interpreting the information coming from e.g. sequencing data, and often motivate further targeted experiments. The broad discipline of "computational biology" spans far beyond the well-established field of bioinformatics, but it is our impression that more theoretical methods like mathematical models are not yet as well integrated in the research studying microbial interactions...
May 22, 2017: Journal of Bacteriology
https://www.readbyqxmd.com/read/28502001/clustering-and-network-analysis-of-reverse-phase-protein-array-data
#15
Adam Byron
Molecular profiling of proteins and phosphoproteins using a reverse phase protein array (RPPA) platform, with a panel of target-specific antibodies, enables the parallel, quantitative proteomic analysis of many biological samples in a microarray format. Hence, RPPA analysis can generate a high volume of multidimensional data that must be effectively interrogated and interpreted. A range of computational techniques for data mining can be applied to detect and explore data structure and to form functional predictions from large datasets...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/28499419/across-proteome-modeling-of-dimer-structures-for-the-bottom-up-assembly-of-protein-protein-interaction-networks
#16
Surabhi Maheshwari, Michal Brylinski
BACKGROUND: Deciphering complete networks of interactions between proteins is the key to comprehend cellular regulatory mechanisms. A significant effort has been devoted to expanding the coverage of the proteome-wide interaction space at molecular level. Although a growing body of research shows that protein docking can, in principle, be used to predict biologically relevant interactions, the accuracy of the across-proteome identification of interacting partners and the selection of near-native complex structures still need to be improved...
May 12, 2017: BMC Bioinformatics
https://www.readbyqxmd.com/read/28487426/digitally-barcoding-mycobacterium-tuberculosis-reveals-in-vivo-infection-dynamics-in-the-macaque-model-of-tuberculosis
#17
Constance J Martin, Anthony M Cadena, Vivian W Leung, Philana Ling Lin, Pauline Maiello, Nathan Hicks, Michael R Chase, JoAnne L Flynn, Sarah M Fortune
Infection with Mycobacterium tuberculosis causes a spectrum of outcomes; the majority of individuals contain but do not eliminate the infection, while a small subset present with primary active tuberculosis (TB) disease. This variability in infection outcomes is recapitulated at the granuloma level within each host, such that some sites of infection can be fully cleared while others progress. Understanding the spectrum of TB outcomes requires new tools to deconstruct the mechanisms underlying differences in granuloma fate...
May 9, 2017: MBio
https://www.readbyqxmd.com/read/28481952/identification-of-potential-new-treatment-response-markers-and-therapeutic-targets-using-a-gaussian-process-based-method-in-lapatinib-insensitive-breast-cancer-models
#18
Tapesh Santra, Sandra Roche, Neil Conlon, Norma O'Donovan, John Crown, Robert O'Connor, Walter Kolch
Molecularly targeted therapeutics hold promise of revolutionizing treatments of advanced malignancies. However, a large number of patients do not respond to these treatments. Here, we take a systems biology approach to understand the molecular mechanisms that prevent breast cancer (BC) cells from responding to lapatinib, a dual kinase inhibitor that targets human epidermal growth factor receptor 2 (HER2) and epidermal growth factor receptor (EGFR). To this end, we analysed temporal gene expression profiles of four BC cell lines, two of which respond and the remaining two do not respond to lapatinib...
2017: PloS One
https://www.readbyqxmd.com/read/28469415/current-developments-in-machine-learning-techniques-in-biological-data-mining
#19
EDITORIAL
Gerard G Dumancas, Indra Adrianto, Ghalib Bello, Mikhail Dozmorov
This supplement is intended to focus on the use of machine learning techniques to generate meaningful information on biological data. This supplement under Bioinformatics and Biology Insights aims to provide scientists and researchers working in this rapid and evolving field with online, open-access articles authored by leading international experts in this field. Advances in the field of biology have generated massive opportunities to allow the implementation of modern computational and statistical techniques...
2017: Bioinformatics and Biology Insights
https://www.readbyqxmd.com/read/28461555/cell-scientist-to-watch-mitchell-guttman
#20
(no author information available yet)
Mitchell received a bachelor's degree in molecular and computational biology and a master's degree in computational biology and bioinformatics from the University of Pennsylvania. He then joined the laboratory of Eric Lander at the Broad Institute of MIT and Harvard and was awarded his PhD in 2012. The same year he was named in the Forbes '30 under 30: science and healthcare' list of rising stars and received an NIH early independence award. Mitchell subsequently moved to the California Institute of Technology as an Assistant Professor to establish his own laboratory...
May 1, 2017: Journal of Cell Science
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