Search for New Candidate Genes Involved in the Comorbidity of Asthma and Hypertension Based on Automatic Analysis of Scientific Literature.
Authors: Saik OV, Demenkov PS, Ivanisenko TV, Bragina EY, Freidin MB, Dosenko VE, Zolotareva OI, Choynzonov EL, Hofestaedt R, Ivanisenko VA Abstract Comorbid states of diseases significantly complicate diagnosis and treatment. Molecular mechanisms of comorbid states of asthma and hypertension are still poorly understood. Prioritization is a way for identifying genes involved in complex phenotypic traits. Existing methods of prioritization consider genetic, expression and evolutionary data, molecular-genetic networks and other. In the case of molecular-genetic networks, as a rule, protein-protein interactions and KE...
Source: Journal of integrative bioinformatics - March 14, 2019 Category: Bioinformatics Tags: J Integr Bioinform Source Type: research

GenCoNet - A Graph Database for the Analysis of Comorbidities by Gene Networks.
Authors: Shoshi A, Hofestädt R, Zolotareva O, Friedrichs M, Maier A, Ivanisenko VA, Dosenko VE, Bragina EY Abstract The prevalence of comorbid diseases poses a major health issue for millions of people worldwide and an enormous socio-economic burden for society. The molecular mechanisms for the development of comorbidities need to be investigated. For this purpose, a workflow system was developed to aggregate data on biomedical entities from heterogeneous data sources. The process of integrating and merging all data sources of the workflow system was implemented as a semi-automatic pipeline that provides the i...
Source: Journal of integrative bioinformatics - March 14, 2019 Category: Bioinformatics Tags: J Integr Bioinform Source Type: research

Integrative Analysis of Co-Morbid Multifactorial Diseases.
Authors: Hofestädt R, Ivanisenko V PMID: 30864353 [PubMed - in process] (Source: Journal of integrative bioinformatics)
Source: Journal of integrative bioinformatics - March 14, 2019 Category: Bioinformatics Tags: J Integr Bioinform Source Type: research

A Model Integration Pipeline for the Improvement of Human Genome-Scale Metabolic Reconstructions.
Authors: Vieira V, Ferreira J, Rodrigues R, Liu F, Rocha M Abstract Metabolism has been a major field of study in the last years, mainly due to its importance in understanding cell physiology and certain disease phenotypes due to its deregulation. Genome-scale metabolic models (GSMMs) have been established as important tools to help achieve a better understanding of human metabolism. Towards this aim, advances in systems biology and bioinformatics have allowed the reconstruction of several human GSMMs, although some limitations and challenges remain, such as the lack of external identifiers for both metabolites and...
Source: Journal of integrative bioinformatics - March 14, 2019 Category: Bioinformatics Tags: J Integr Bioinform Source Type: research

Selected Extended Papers of the 12th International Conference on Practical Applications of Computational Biology and Bioinformatics (PACBB).
Authors: Fdez-Riverola F, Rocha M PMID: 30808158 [PubMed - in process] (Source: Journal of integrative bioinformatics)
Source: Journal of integrative bioinformatics - February 28, 2019 Category: Bioinformatics Tags: J Integr Bioinform Source Type: research

A Model Integration Pipeline for the Improvement of Human Genome-Scale Metabolic Reconstructions.
Authors: Vieira V, Ferreira J, Rodrigues R, Liu F, Rocha M Abstract Metabolism has been a major field of study in the last years, mainly due to its importance in understanding cell physiology and certain disease phenotypes due to its deregulation. Genome-scale metabolic models (GSMMs) have been established as important tools to help achieve a better understanding of human metabolism. Towards this aim, advances in systems biology and bioinformatics have allowed the reconstruction of several human GSMMs, although some limitations and challenges remain, such as the lack of external identifiers for both metabolites and...
Source: Journal of integrative bioinformatics - February 28, 2019 Category: Bioinformatics Tags: J Integr Bioinform Source Type: research

Integrative Gene Selection on Gene Expression Data: Providing Biological Context to Traditional Approaches.
Authors: Perscheid C, Grasnick B, Uflacker M Abstract The advance of high-throughput RNA-Sequencing techniques enables researchers to analyze the complete gene activity in particular cells. From the insights of such analyses, researchers can identify disease-specific expression profiles, thus understand complex diseases like cancer, and eventually develop effective measures for diagnosis and treatment. The high dimensionality of gene expression data poses challenges to its computational analysis, which is addressed with measures of gene selection. Traditional gene selection approaches base their findings on statist...
Source: Journal of integrative bioinformatics - February 21, 2019 Category: Bioinformatics Tags: J Integr Bioinform Source Type: research

Selected Extended Papers of the 12th International Conference on Practical Applications of Computational Biology and Bioinformatics (PACBB).
Authors: Fdez-Riverola F, Rocha M PMID: 30768424 [PubMed - as supplied by publisher] (Source: Journal of integrative bioinformatics)
Source: Journal of integrative bioinformatics - February 17, 2019 Category: Bioinformatics Tags: J Integr Bioinform Source Type: research

QSAR Modelling to Identify LRRK2 Inhibitors for Parkinson's Disease.
Authors: Sebastián-Pérez V, Martínez MJ, Gil C, Campillo NE, Martínez A, Ponzoni I Abstract Parkinson's disease is one of the most common neurodegenerative illnesses in older persons and the leucine-rich repeat kinase 2 (LRRK2) is an auspicious target for its pharmacological treatment. In this work, quantitative structure-activity relationship (QSAR) models for identification of putative inhibitors of LRRK2 protein are developed by using an in-house chemical library and several machine learning techniques. The methodology applied in this paper has two steps: first, alternative subsets of...
Source: Journal of integrative bioinformatics - February 16, 2019 Category: Bioinformatics Tags: J Integr Bioinform Source Type: research

Dynamic Load Balancing Strategy for Parallel Tumor Growth Simulations.
Authors: Salguero AG, Tomeu-Hardasmal AJ, Capel MI Abstract In this paper, we propose a parallel cellular automaton tumor growth model that includes load balancing of cells distribution among computational threads with the introduction of adjusting parameters. The obtained results show a fair reduction in execution time and improved speedup compared with the sequential tumor growth simulation program currently referenced in tumoral biology. The dynamic data structures of the model can be extended to address additional tumor growth characteristics such as angiogenesis and nutrient intake dependencies. PMID:...
Source: Journal of integrative bioinformatics - February 16, 2019 Category: Bioinformatics Tags: J Integr Bioinform Source Type: research

shRNA-Induced Knockdown of a Bioinformatically Predicted Target IL10 Influences Functional Parameters in Spontaneously Hypertensive Rats with Asthma.
Authors: Drevytska T, Morhachov R, Tumanovska L, Portnichenko G, Nagibin V, Boldyriev O, Lapikova-Bryhinska T, Gurianova V, Dons'koi B, Freidin M, Ivanisenko V, Bragina EY, Hofestädt R, Dosenko V Abstract One of the most common comorbid pathology is asthma and arterial hypertension. For experimental modeling of comorbidity we have used spontaneously hypertensive rats with ovalbumin (OVA)-induced asthma. Rats were randomly divided into three groups: control group, OVA-induced asthma group; OVA-induced asthma + IL10 shRNA interference group. Target gene (IL10) was predicted by ANDSystem. We have demonstrated tha...
Source: Journal of integrative bioinformatics - December 13, 2018 Category: Bioinformatics Tags: J Integr Bioinform Source Type: research

Molecular Relationships between Bronchial Asthma and Hypertension as Comorbid Diseases.
Authors: Bragina EY, Goncharova IA, Garaeva AF, Nemerov EV, Babovskaya AA, Karpov AB, Semenova YV, Zhalsanova IZ, Gomboeva DE, Saik OV, Zolotareva OI, Ivanisenko VA, Dosenko VE, Hofestaedt R, Freidin MB Abstract Comorbidity, a co-incidence of several disorders in an individual, is a common phenomenon. Their development is governed by multiple factors, including genetic variation. The current study was set up to look at associations between isolated and comorbid diseases of bronchial asthma and hypertension, on one hand, and single nucleotide polymorphisms associated with regulation of gene expression (eQTL), on the...
Source: Journal of integrative bioinformatics - December 13, 2018 Category: Bioinformatics Tags: J Integr Bioinform Source Type: research

Deep Convolutional Neural Networks for the Prediction of Molecular Properties: Challenges and Opportunities Connected to the Data.
We present a flexible deep convolutional neural network method for the analysis of arbitrary sized graph structures representing molecules. This method, which makes use of the Lipinski RDKit module, an open-source cheminformatics software, enables the incorporation of any global molecular (such as molecular charge and molecular weight) and local (such as atom hybridization and bond orders) information. In this paper, we show that this method significantly outperforms another recently proposed method based on deep convolutional neural networks on several datasets that are studied. Several best practices for training deep co...
Source: Journal of integrative bioinformatics - December 6, 2018 Category: Bioinformatics Tags: J Integr Bioinform Source Type: research

A Content-Based Retrieval Framework for Whole Metagenome Sequencing Samples.
In this study, a content-based retrieval framework for identifying relevant metagenomic samples is developed. The framework consists of feature extraction, selection methods and similarity measures for whole metagenome sequencing samples. Performance of the developed framework was evaluated on given samples. A ground truth was used to evaluate the system performance such that if the system retrieves patients with the same disease, -called positive samples-, they are labeled as relevant samples otherwise irrelevant. The experimental results show that relevant experiments can be detected by using different fingerprinting app...
Source: Journal of integrative bioinformatics - October 29, 2018 Category: Bioinformatics Tags: J Integr Bioinform Source Type: research

Identification of Missing Carbon Fixation Enzymes as Potential Drug Targets in Mycobacterium Tuberculosis.
In this study, we investigated the CO2 fixation pathways (such as ko00710 and ko00720) most likely involved in the energy production and conversion of CO2 in Mtb. Extensive pathway evaluation of 23 completely sequenced strains of Mtb confirmed the existence of a complete list of genes encoding the relevant enzymes of the reductive tricarboxylic acid (rTCA) cycle. This provides the evidence that an rTCA cycle may function to fix CO2 in this bacterium. We also proposed that as CO2 is plentiful in the lungs, inhibition of CO2 fixation pathways (by targeting the relevant CO2 fixation enzymes) could be used in the expansion of ...
Source: Journal of integrative bioinformatics - September 16, 2018 Category: Bioinformatics Tags: J Integr Bioinform Source Type: research

Modeling and Simulating the Aerobic Carbon Metabolism of a Green Microalga Using Petri Nets and New Concepts of VANESA.
Authors: Brinkrolf C, Henke NA, Ochel L, Pucker B, Kruse O, Lutter P Abstract In this work we present new concepts of VANESA, a tool for modeling and simulation in systems biology. We provide a convenient way to handle mathematical expressions and take physical units into account. Simulation and result management has been improved, and syntax and consistency checks, based on physical units, reduce modeling errors. As a proof of concept, essential components of the aerobic carbon metabolism of the green microalga Chlamydomonas reinhardtii are modeled and simulated. The modeling process is based on xHPN Petri net for...
Source: Journal of integrative bioinformatics - September 16, 2018 Category: Bioinformatics Tags: J Integr Bioinform Source Type: research

BioModelKit - An Integrative Framework for Multi-Scale Biomodel-Engineering.
Authors: Blätke MA PMID: 30205646 [PubMed - as supplied by publisher] (Source: Journal of integrative bioinformatics)
Source: Journal of integrative bioinformatics - September 13, 2018 Category: Bioinformatics Tags: J Integr Bioinform Source Type: research

Towards FAIRer Biological Knowledge Networks Using a Hybrid Linked Data and Graph Database Approach.
Authors: Brandizi M, Singh A, Rawlings C, Hassani-Pak K Abstract The speed and accuracy of new scientific discoveries - be it by humans or artificial intelligence - depends on the quality of the underlying data and on the technology to connect, search and share the data efficiently. In recent years, we have seen the rise of graph databases and semi-formal data models such as knowledge graphs to facilitate software approaches to scientific discovery. These approaches extend work based on formalised models, such as the Semantic Web. In this paper, we present our developments to connect, search and share data about ge...
Source: Journal of integrative bioinformatics - August 9, 2018 Category: Bioinformatics Tags: J Integr Bioinform Source Type: research

Heuristic Modeling and 3D Stereoscopic Visualization of a Chlamydomonas reinhardtii Cell.
Authors: Biere N, Ghaffar M, Doebbe A, Jäger D, Rothe N, Friedrich BM, Hofestädt R, Schreiber F, Kruse O, Sommer B Abstract The structural modeling and representation of cells is a complex task as different microscopic, spectroscopic and other information resources have to be combined to achieve a three-dimensional representation with high accuracy. Moreover, to provide an appropriate spatial representation of the cell, a stereoscopic 3D (S3D) visualization is favorable. In this work, a structural cell model is created by combining information from various light microscopic and electron microscopic images...
Source: Journal of integrative bioinformatics - July 14, 2018 Category: Bioinformatics Tags: J Integr Bioinform Source Type: research

Semantics for an Integrative and Immersive Pipeline Combining Visualization and Analysis of Molecular Data.
Authors: Trellet M, Férey N, FlotyƄski J, Baaden M, Bourdot P Abstract The advances made in recent years in the field of structural biology significantly increased the throughput and complexity of data that scientists have to deal with. Combining and analyzing such heterogeneous amounts of data became a crucial time consumer in the daily tasks of scientists. However, only few efforts have been made to offer scientists an alternative to the standard compartmentalized tools they use to explore their data and that involve a regular back and forth between them. We propose here an integrated pipeline especially ...
Source: Journal of integrative bioinformatics - July 11, 2018 Category: Bioinformatics Tags: J Integr Bioinform Source Type: research

From Virtual Reality to Immersive Analytics in Bioinformatics.
Authors: Sommer B, Baaden M, Krone M, Woods A Abstract Bioinformatics-related research produces huge heterogeneous amounts of data. This wealth of information includes data describing metabolic mechanisms and pathways, proteomics, transcriptomics, and metabolomics. Often, the visualization and exploration of related structural - usually molecular - data plays an important role in the aforementioned contexts. For decades, virtual reality (VR)-related technologies were developed and applied to Bioinformatics problems. Often, these approaches provide "just" visual support of the analysis, e.g. in the case of...
Source: Journal of integrative bioinformatics - July 11, 2018 Category: Bioinformatics Tags: J Integr Bioinform Source Type: research

MinOmics, an Integrative and Immersive Tool for Multi-Omics Analysis.
Authors: Maes A, Martinez X, Druart K, Laurent B, Guégan S, Marchand CH, Lemaire SD, Baaden M Abstract Proteomic and transcriptomic technologies resulted in massive biological datasets, their interpretation requiring sophisticated computational strategies. Efficient and intuitive real-time analysis remains challenging. We use proteomic data on 1417 proteins of the green microalga Chlamydomonas reinhardtii to investigate physicochemical parameters governing selectivity of three cysteine-based redox post translational modifications (PTM): glutathionylation (SSG), nitrosylation (SNO) and disulphide bonds (SS) r...
Source: Journal of integrative bioinformatics - June 23, 2018 Category: Bioinformatics Tags: J Integr Bioinform Source Type: research

Molecular Dynamics Visualization (MDV): Stereoscopic 3D Display of Biomolecular Structure and Interactions Using the Unity Game Engine.
Authors: Wiebrands M, Malajczuk CJ, Woods AJ, Rohl AL, Mancera RL Abstract Molecular graphics systems are visualization tools which, upon integration into a 3D immersive environment, provide a unique virtual reality experience for research and teaching of biomolecular structure, function and interactions. We have developed a molecular structure and dynamics application, the Molecular Dynamics Visualization tool, that uses the Unity game engine combined with large scale, multi-user, stereoscopic visualization systems to deliver an immersive display experience, particularly with a large cylindrical projection display...
Source: Journal of integrative bioinformatics - June 23, 2018 Category: Bioinformatics Tags: J Integr Bioinform Source Type: research

BioSankey: Visualization of Microbial Communities Over Time.
Authors: Platzer A, Polzin J, Rembart K, Han PP, Rauer D, Nussbaumer T Abstract Metagenomics provides quantitative measurements for microbial species over time. To obtain a global overview of an experiment and to explore the full potential of a given dataset, intuitive and interactive visualization tools are needed. Therefore, we established BioSankey to visualize microbial species in microbiome studies over time as a Sankey diagram. These diagrams are embedded into a project-specific webpage which depends only on JavaScript and Google API to allow searches of interesting species without requiring a web server or c...
Source: Journal of integrative bioinformatics - June 15, 2018 Category: Bioinformatics Tags: J Integr Bioinform Source Type: research

MIRATE: MIps RATional dEsign Science Gateway.
We present MIRATE, an integrated science gateway for the intelligent design of MIPs. By combining and adapting multiple state-of-the-art bioinformatics tools into automated and innovative pipelines, MIRATE guides the user through the entire process of MIPs' design. The platform allows the user to fully customize each stage involved in the MIPs' design, with the main goal to support the synthesis in the wet-laboratory. AVAILABILITY: MIRATE is freely accessible with no login requirement at http://mirate.di.univr.it/. All major browsers are supported. PMID: 29897885 [PubMed - as supplied by publisher] (Source: Journal...
Source: Journal of integrative bioinformatics - June 15, 2018 Category: Bioinformatics Tags: J Integr Bioinform Source Type: research

Interactive Molecular Graphics for Augmented Reality Using HoloLens.
Authors: Müller C, Krone M, Huber M, Biener V, Herr D, Koch S, Reina G, Weiskopf D, Ertl T Abstract Immersive technologies like stereo rendering, virtual reality, or augmented reality (AR) are often used in the field of molecular visualisation. Modern, comparably lightweight and affordable AR headsets like Microsoft's HoloLens open up new possibilities for immersive analytics in molecular visualisation. A crucial factor for a comprehensive analysis of molecular data in AR is the rendering speed. HoloLens, however, has limited hardware capabilities due to requirements like battery life, fanless cooling and weig...
Source: Journal of integrative bioinformatics - June 15, 2018 Category: Bioinformatics Tags: J Integr Bioinform Source Type: research

Mesoscopic Rigid Body Modelling of the Extracellular Matrix Self-Assembly.
Authors: Wong H, Prévoteau-Jonquet J, Baud S, Dauchez M, Belloy N Abstract The extracellular matrix (ECM) plays an important role in supporting tissues and organs. It even has a functional role in morphogenesis and differentiation by acting as a source of active molecules (matrikines). Many diseases are linked to dysfunction of ECM components and fragments or changes in their structures. As such it is a prime target for drugs. Because of technological limitations for observations at mesoscopic scales, the precise structural organisation of the ECM is not well-known, with sparse or fuzzy experimental observab...
Source: Journal of integrative bioinformatics - June 11, 2018 Category: Bioinformatics Tags: J Integr Bioinform Source Type: research

Big Data Analytics in Medicine and Healthcare.
Authors: Ristevski B, Chen M Abstract This paper surveys big data with highlighting the big data analytics in medicine and healthcare. Big data characteristics: value, volume, velocity, variety, veracity and variability are described. Big data analytics in medicine and healthcare covers integration and analysis of large amount of complex heterogeneous data such as various - omics data (genomics, epigenomics, transcriptomics, proteomics, metabolomics, interactomics, pharmacogenomics, diseasomics), biomedical data and electronic health records data. We underline the challenging issues about big data privacy and secur...
Source: Journal of integrative bioinformatics - May 12, 2018 Category: Bioinformatics Tags: J Integr Bioinform Source Type: research

SBML Level 3 package: Multistate, Multicomponent and Multicompartment Species, Version 1, Release 1.
Authors: Zhang F, Meier-Schellersheim M Abstract Rule-based modeling is an approach that permits constructing reaction networks based on the specification of rules for molecular interactions and transformations. These rules can encompass details such as the interacting sub-molecular domains (components) and the states such as phosphorylation and binding status of the involved components. Fine-grained spatial information such as the locations of the molecular components relative to a membrane (e.g. whether a modeled molecular domain is embedded into the inner leaflet of the cellular plasma membrane) can also be prov...
Source: Journal of integrative bioinformatics - April 22, 2018 Category: Bioinformatics Tags: J Integr Bioinform Source Type: research

SBML Level 3 package: Render, Version 1, Release 1.
Authors: Bergmann FT, Keating SM, Gauges R, Sahle S, Wengler K Abstract Many software tools provide facilities for depicting reaction network diagrams in a visual form. Two aspects of such a visual diagram can be distinguished: the layout (i.e.: the positioning and connections) of the elements in the diagram, and the graphical form of the elements (for example, the glyphs used for symbols, the properties of the lines connecting them, and so on). This document describes the SBML Level 3 Render package that complements the SBML Level 3 Layout package and provides a means of capturing the precise rendering of the elem...
Source: Journal of integrative bioinformatics - April 2, 2018 Category: Bioinformatics Tags: J Integr Bioinform Source Type: research

Synthetic Biology Open Language (SBOL) Version 2.2.0.
Authors: Cox RS, Madsen C, McLaughlin JA, Nguyen T, Roehner N, Bartley B, Beal J, Bissell M, Choi K, Clancy K, Grünberg R, Macklin C, Misirli G, Oberortner E, Pocock M, Samineni M, Zhang M, Zhang Z, Zundel Z, Gennari JH, Myers C, Sauro H, Wipat A Abstract Synthetic biology builds upon the techniques and successes of genetics, molecular biology, and metabolic engineering by applying engineering principles to the design of biological systems. The field still faces substantial challenges, including long development times, high rates of failure, and poor reproducibility. One method to ameliorate these problems wou...
Source: Journal of integrative bioinformatics - April 2, 2018 Category: Bioinformatics Tags: J Integr Bioinform Source Type: research

Specifications of Standards in Systems and Synthetic Biology: Status and Developments in 2017.
Authors: Schreiber F, Bader GD, Gleeson P, Golebiewski M, Hucka M, Keating SM, Novère NL, Myers C, Nickerson D, Sommer B, Waltemath D Abstract Standards are essential to the advancement of Systems and Synthetic Biology. COMBINE provides a formal body and a centralised platform to help develop and disseminate relevant standards and related resources. The regular special issue of the Journal of Integrative Bioinformatics aims to support the exchange, distribution and archiving of these standards by providing unified, easily citable access. This paper provides an overview of existing COMBINE standards and prese...
Source: Journal of integrative bioinformatics - March 30, 2018 Category: Bioinformatics Tags: J Integr Bioinform Source Type: research

Synthetic Biology Open Language Visual (SBOL Visual) Version 2.0.
Authors: Cox RS, Madsen C, McLaughlin J, Nguyen T, Roehner N, Bartley B, Bhatia S, Bissell M, Clancy K, Gorochowski T, Grünberg R, Luna A, Le Novere N, Pocock M, Sauro H, Sexton JT, Stan GB, Tabor JJ, Voigt CA, Zundel Z, Myers C, Beal J, Wipat A Abstract People who are engineering biological organisms often find it useful to communicate in diagrams, both about the structure of the nucleic acid sequences that they are engineering and about the functional relationships between sequence features and other molecular species. Some typical practices and conventions have begun to emerge for such diagrams. The Synthet...
Source: Journal of integrative bioinformatics - March 20, 2018 Category: Bioinformatics Tags: J Integr Bioinform Source Type: research

Simulation Experiment Description Markup Language (SED-ML) Level 1 Version 3 (L1V3).
Authors: Bergmann FT, Cooper J, König M, Moraru I, Nickerson D, Novère NL, Olivier BG, Sahle S, Smith L, Waltemath D Abstract The creation of computational simulation experiments to inform modern biological research poses challenges to reproduce, annotate, archive, and share such experiments. Efforts such as SBML or CellML standardize the formal representation of computational models in various areas of biology. The Simulation Experiment Description Markup Language (SED-ML) describes what procedures the models are subjected to, and the details of those procedures. These standards, together with further ...
Source: Journal of integrative bioinformatics - March 20, 2018 Category: Bioinformatics Tags: J Integr Bioinform Source Type: research

BIOPYDB: A Dynamic Human Cell Specific Biochemical Pathway Database with Advanced Computational Analyses Platform.
Authors: Chowdhury S, Sinha N, Ganguli P, Bhowmick R, Singh V, Nandi S, Sarkar RR Abstract BIOPYDB: BIOchemical PathwaY DataBase is developed as a manually curated, readily updatable, dynamic resource of human cell specific pathway information along with integrated computational platform to perform various pathway analyses. Presently, it comprises of 46 pathways, 3189 molecules, 5742 reactions and 6897 different types of diseases linked with pathway proteins, which are referred by 520 literatures and 17 other pathway databases. With its repertoire of biochemical pathway data, and computational tools for performing ...
Source: Journal of integrative bioinformatics - March 18, 2018 Category: Bioinformatics Tags: J Integr Bioinform Source Type: research

The Systems Biology Markup Language (SBML): Language Specification for Level 3 Version 2 Core.
Authors: Hucka M, Bergmann FT, Dräger A, Hoops S, Keating SM, Novère NL, Myers CJ, Olivier BG, Sahle S, Schaff JC, Smith LP, Waltemath D, Wilkinson DJ Abstract Computational models can help researchers to interpret data, understand biological functions, and make quantitative predictions. The Systems Biology Markup Language (SBML) is a file format for representing computational models in a declarative form that different software systems can exchange. SBML is oriented towards describing biological processes of the sort common in research on a number of topics, including metabolic pathways, cell signaling...
Source: Journal of integrative bioinformatics - March 10, 2018 Category: Bioinformatics Tags: J Integr Bioinform Source Type: research

SBML Level 3 Package: Flux Balance Constraints version 2.
Authors: Olivier BG, Bergmann FT Abstract Constraint-based modeling is a well established modeling methodology used to analyze and study biological networks on both a medium and genome scale. Due to their large size and complexity such steady-state flux models are, typically, analyzed using constraint-based optimization techniques, for example, flux balance analysis (FBA). The Flux balance constraints (FBC) Package extends SBML Level 3 and provides a standardized format for the encoding, exchange and annotation of constraint-based models. It includes support for modeling concepts such as objective functions, flux b...
Source: Journal of integrative bioinformatics - March 10, 2018 Category: Bioinformatics Tags: J Integr Bioinform Source Type: research

Modified HuffBit Compress Algorithm - An Application of R.
Authors: Habib N, Ahmed K, Jabin I, Rahman MM Abstract The databases of genomic sequences are growing at an explicative rate because of the increasing growth of living organisms. Compressing deoxyribonucleic acid (DNA) sequences is a momentous task as the databases are getting closest to its threshold. Various compression algorithms are developed for DNA sequence compression. An efficient DNA compression algorithm that works on both repetitive and non-repetitive sequences known as "HuffBit Compress" is based on the concept of Extended Binary Tree. In this paper, here is proposed and developed a modified v...
Source: Journal of integrative bioinformatics - February 24, 2018 Category: Bioinformatics Tags: J Integr Bioinform Source Type: research

Selected Extended Papers of the 11th International Conference on Practical Applications of Computational Biology and Bioinformatics (PACBB).
Authors: Fdez-Riverola F, Rocha M PMID: 29236675 [PubMed - in process] (Source: Journal of integrative bioinformatics)
Source: Journal of integrative bioinformatics - December 15, 2017 Category: Bioinformatics Tags: J Integr Bioinform Source Type: research

Supervised Learning and Knowledge-Based Approaches Applied to Biomedical Word Sense Disambiguation.
Authors: Antunes R, Matos S Abstract Word sense disambiguation (WSD) is an important step in biomedical text mining, which is responsible for assigning an unequivocal concept to an ambiguous term, improving the accuracy of biomedical information extraction systems. In this work we followed supervised and knowledge-based disambiguation approaches, with the best results obtained by supervised means. In the supervised method we used bag-of-words as local features, and word embeddings as global features. In the knowledge-based method we combined word embeddings, concept textual definitions extracted from the UMLS datab...
Source: Journal of integrative bioinformatics - December 15, 2017 Category: Bioinformatics Tags: J Integr Bioinform Source Type: research

A Chemometrics Approach for Nuclear Magnetic Resonance Data to Characterize the Partial Metabolome Banana Peels from Southern Brazil.
Authors: Cardoso S, Maraschin M, Peruch LAM, Rocha M, Pereira A Abstract Banana peels are well recognized as a source of important bioactive compounds, such as phenolics, carotenoids, biogenic amines, among others. As such, they have recently started to be used for industrial purposes. However, its composition seems to be strongly affected by biotic or abiotic ecological factors. Thus, this study aimed to investigate banana peels chemical composition, not only to get insights on eventual metabolic changes caused by the seasons, in southern Brazil, but also to identify the most relevant metabolites for these process...
Source: Journal of integrative bioinformatics - December 15, 2017 Category: Bioinformatics Tags: J Integr Bioinform Source Type: research

Protein-Protein Interaction Article Classification Using a Convolutional Recurrent Neural Network with Pre-trained Word Embeddings.
Authors: Matos S, Antunes R Abstract Curation of protein interactions from scientific articles is an important task, since interaction networks are essential for the understanding of biological processes associated with disease or pharmacological action for example. However, the increase in the number of publications that potentially contain relevant information turns this into a very challenging and expensive task. In this work we used a convolutional recurrent neural network for identifying relevant articles for extracting information regarding protein interactions. Using the BioCreative III Article Classificatio...
Source: Journal of integrative bioinformatics - December 15, 2017 Category: Bioinformatics Tags: J Integr Bioinform Source Type: research

Assessing Public Metabolomics Metadata, Towards Improving Quality.
Authors: Ferreira JD, Inácio B, Salek RM, Couto FM Abstract Public resources need to be appropriately annotated with metadata in order to make them discoverable, reproducible and traceable, further enabling them to be interoperable or integrated with other datasets. While data-sharing policies exist to promote the annotation process by data owners, these guidelines are still largely ignored. In this manuscript, we analyse automatic measures of metadata quality, and suggest their application as a mean to encourage data owners to increase the metadata quality of their resources and submissions, thereby contrib...
Source: Journal of integrative bioinformatics - December 15, 2017 Category: Bioinformatics Tags: J Integr Bioinform Source Type: research

UV-Vis and CIELAB Based Chemometric Characterization of Manihot esculenta Carotenoid Contents.
In this study, we found a positive correlation between the color of the root pulp and the total carotenoid contents and, importantly, showed how CIELAB color measurements can be used as a non-destructive and fast technique to quantify the amount of carotenoids in cassava root samples, as opposed to traditional methods. We trained several machine learning models using UV-visible spectrophotometry data, CIELAB data and a low-level data fusion of the two. Best performance models were obtained for the total carotenoids contents calculated using the UV-visible dataset as input, with R2 values above 90 %. Using CIELAB and fusion...
Source: Journal of integrative bioinformatics - December 15, 2017 Category: Bioinformatics Tags: J Integr Bioinform Source Type: research

A Machine Learning Approach for MicroRNA Precursor Prediction in Retro-transcribing Virus Genomes.
In this study we analyzed 5 human retro virus genomes; Human endogenous retrovirus K113, Hepatitis B virus (strain ayw), Human T lymphotropic virus 1, Human T lymphotropic virus 2, Human immunodeficiency virus 2, and Human immunodeficiency virus 1. We then predicted pre-miRNAs by using the information from known virus and human pre-miRNAs. Our results indicate that these viruses produce novel unknown miRNA precursors which warrant further experimental validation. PMID: 29216001 [PubMed - in process] (Source: Journal of integrative bioinformatics)
Source: Journal of integrative bioinformatics - December 9, 2017 Category: Bioinformatics Tags: J Integr Bioinform Source Type: research

miRquant 2.0: an Expanded Tool for Accurate Annotation and Quantification of MicroRNAs and their isomiRs from Small RNA-Sequencing Data.
Authors: Kanke M, Baran-Gale J, Villanueva J, Sethupathy P Abstract Small non-coding RNAs, in particular microRNAs, are critical for normal physiology and are candidate biomarkers, regulators, and therapeutic targets for a wide variety of diseases. There is an ever-growing interest in the comprehensive and accurate annotation of microRNAs across diverse cell types, conditions, species, and disease states. Highthroughput sequencing technology has emerged as the method of choice for profiling microRNAs. Specialized bioinformatic strategies are required to mine as much meaningful information as possible from the seque...
Source: Journal of integrative bioinformatics - December 9, 2017 Category: Bioinformatics Tags: J Integr Bioinform Source Type: research

Computational miRNomics.
Authors: Allmer J, Yousef M Abstract Editorial The term MicroRNA or its contraction miRNA currently appears in 21,215 titles of abstracts, published between 1997 and now, available on Pubmed (2016-21-22:12:59 EET). 4,108 of these were published in 2016 alone which signifies the importance of miRNA-related research. MicroRNAs can be detected experimentally using various techniques like directional cloning of endogenous small RNAs but they are time consuming [1]. Additionally, it is necessary for the miRNA and its mRNA target(s) to be co-expressed to infer a functional relationship which is difficult, if not impossib...
Source: Journal of integrative bioinformatics - December 9, 2017 Category: Bioinformatics Tags: J Integr Bioinform Source Type: research

Current Progress of High-Throughput MicroRNA Differential Expression Analysis and Random Forest Gene Selection for Model and Non-Model Systems: an R Implementation.
Authors: Zhang J, Hadj-Moussa H, Storey KB Abstract MicroRNAs are short non-coding RNA transcripts that act as master cellular regulators with roles in orchestrating virtually all biological functions. The recent affordability and widespread use of high-throughput microRNA profiling technologies has grown along with the advancement of bioinformatics tools available for analysis of the mounting data flow. While there are many computational resources available for the management of data from genomesequenced animals, researchers are often faced with the challenge of identifying the biological implications of the daunt...
Source: Journal of integrative bioinformatics - December 9, 2017 Category: Bioinformatics Tags: J Integr Bioinform Source Type: research

Ensemble Clustering Classification Applied to Competing SVM and One-Class Classifiers Exemplified by Plant MicroRNAs Data.
In conclusion, this study shows that the chosen classifier shows high performance when the distance metric is carefully chosen. PMID: 29216005 [PubMed - in process] (Source: Journal of integrative bioinformatics)
Source: Journal of integrative bioinformatics - December 9, 2017 Category: Bioinformatics Tags: J Integr Bioinform Source Type: research

Differential Expression of Hyperhydricity Responsive Peach MicroRNAs.
This study went one step further to advance understanding of molecular miRNA-based regulatory mechanisms regarding responses to hyperhydricity in peach. PMID: 29216006 [PubMed - in process] (Source: Journal of integrative bioinformatics)
Source: Journal of integrative bioinformatics - December 9, 2017 Category: Bioinformatics Tags: J Integr Bioinform Source Type: research