Abstract:
:Understanding the interconnections of microbial pathogenicity phenomena, such as biofilm formation, quorum sensing and antimicrobial resistance, is a tremendous open challenge for biomedical research. Progress made by wet-lab researchers and bioinformaticians in understanding the underlying regulatory phenomena has been significant, with converging evidence from multiple high-throughput technologies. Notably, network reconstructions are already of considerable size and quality, tackling both intracellular regulation and signal mediation in microbial infection. Therefore, it stands to reason that in silico investigations would play a more active part in this research. Drug target identification and drug repurposing could take much advantage of the ability to simulate pathogen regulatory systems, host-pathogen interactions and pathogen cross-talking. Here, we review the bioinformatics resources and tools available for the study of the gram-negative bacterium Pseudomonas aeruginosa, the gram-positive bacterium Staphylococcus aureus and the fungal species Candida albicans. The choice of these three microorganisms fits the rationale of the review converging into pathogens of great clinical importance, which thrive in biofilm consortia and manifest growing antimicrobial resistance.
journal_name
Brief Bioinformjournal_title
Briefings in bioinformaticsauthors
Castelhano Santos N,Pereira MO,Lourenço Adoi
10.1093/bib/bbt071subject
Has Abstractpub_date
2015-01-01 00:00:00pages
169-82issue
1eissn
1467-5463issn
1477-4054pii
bbt071journal_volume
16pub_type
杂志文章,评审abstract::Gene set analysis (GSA) is one of the methods of choice for analyzing the results of current omics studies; however, it has been mainly developed to analyze mRNA (microarray, RNA-Seq) data. The following review includes an update regarding general methods and resources for GSA and then emphasizes GSA methods and tools...
journal_title:Briefings in bioinformatics
pub_type: 杂志文章
doi:10.1093/bib/bbz090
更新日期:2020-09-25 00:00:00
abstract::The iteratively reweighted least square (IRLS) method is mostly identical to maximum likelihood (ML) method in terms of parameter estimation and power of quantitative trait locus (QTL) detection. But the IRLS is greatly superior to ML in terms of computing speed and the robustness of parameter estimation. In conjuncti...
journal_title:Briefings in bioinformatics
pub_type: 杂志文章
doi:10.1093/bib/bbs062
更新日期:2014-01-01 00:00:00
abstract::Atomic charges play a very important role in drug-target recognition. However, computation of atomic charges with high-level quantum mechanics (QM) calculations is very time-consuming. A number of machine learning (ML)-based atomic charge prediction methods have been proposed to speed up the calculation of high-accura...
journal_title:Briefings in bioinformatics
pub_type: 杂志文章
doi:10.1093/bib/bbaa183
更新日期:2020-08-25 00:00:00
abstract::The Gulbenkian Training Programme in Bioinformatics has been offering hands-on training courses in Oeiras, PT for more than a decade. This article is a review of its functional organization and evolution. We aim to share our experience with people considering setting-up similar training facilities elsewhere. More than...
journal_title:Briefings in bioinformatics
pub_type: 杂志文章
doi:10.1093/bib/bbq063
更新日期:2010-11-01 00:00:00
abstract::This Briefing reviews the widely used, currently active, up-to-date databases derived from the worldwide Protein Data Bank (PDB) to facilitate browsing, finding and exploring its entries. These databases contain visualization and analysis tools tailored to specific kinds of molecules and interactions, often including ...
journal_title:Briefings in bioinformatics
pub_type: 杂志文章
doi:10.1093/bib/bbw049
更新日期:2017-07-01 00:00:00
abstract::In recent years, high-throughput genomic technologies like chromatin immunoprecipitation sequencing (ChIp-seq) and transcriptome sequencing (RNA-seq) have been becoming both more refined and less expensive, making them more accessible. Many circular RNAs (circRNAs) that originate from back-spliced exons have been iden...
journal_title:Briefings in bioinformatics
pub_type: 杂志文章
doi:10.1093/bib/bby083
更新日期:2019-11-27 00:00:00
abstract::Precision medicine has changed thinking in cancer therapy, highlighting a better understanding of the individual clinical interventions. But what role do the drivers and pathways identified from pan-cancer genome analysis play in the tumor? In this letter, we will highlight the importance of in silico modeling in prec...
journal_title:Briefings in bioinformatics
pub_type: 杂志文章
doi:10.1093/bib/bbz033
更新日期:2020-05-21 00:00:00
abstract::Moonlighting proteins provide more options for cells to execute multiple functions without increasing the genome and transcriptome complexity. Although there have long been calls for computational methods for the prediction of moonlighting proteins, no method has been designed for determining moonlighting long noncodi...
journal_title:Briefings in bioinformatics
pub_type: 杂志文章
doi:10.1093/bib/bbz154
更新日期:2021-01-18 00:00:00
abstract::Biological knowledge can be inferred from three major levels of information: molecules, organisms and ecologies. Bioinformatics is an established field that has made significant advances in the development of systems and techniques to organize contemporary molecular data; biodiversity informatics is an emerging discip...
journal_title:Briefings in bioinformatics
pub_type: 杂志文章,评审
doi:10.1093/bib/bbm037
更新日期:2007-09-01 00:00:00
abstract::Understanding the genetic basis of human traits/diseases and the underlying mechanisms of how these traits/diseases are affected by genetic variations is critical for public health. Current genome-wide functional genomics data uncovered a large number of functional elements in the noncoding regions of human genome, pr...
journal_title:Briefings in bioinformatics
pub_type: 杂志文章,评审
doi:10.1093/bib/bbu018
更新日期:2015-05-01 00:00:00
abstract::Posttranscriptional crosstalk and communication between RNAs yield large regulatory competing endogenous RNA (ceRNA) networks via shared microRNAs (miRNAs), as well as miRNA synergistic networks. The ceRNA crosstalk represents a novel layer of gene regulation that controls both physiological and pathological processes...
journal_title:Briefings in bioinformatics
pub_type: 杂志文章
doi:10.1093/bib/bbx137
更新日期:2019-07-19 00:00:00
abstract::Array-based gene expression studies frequently serve to identify genes that are expressed differently under two or more conditions. The actual analysis of the data, however, may be hampered by a number of technical and statistical problems. Possible remedies on the level of computational analysis lie in appropriate pr...
journal_title:Briefings in bioinformatics
pub_type: 杂志文章,评审
doi:10.1093/bib/bbl002
更新日期:2006-06-01 00:00:00
abstract::Online sequence repositories are teeming with RNA sequencing (RNA-Seq) data from a wide range of eukaryotes. Although most of these data sets contain large numbers of organelle-derived reads, researchers tend to ignore these data, focusing instead on the nuclear-derived transcripts. Consequently, GenBank contains mass...
journal_title:Briefings in bioinformatics
pub_type: 杂志文章
doi:10.1093/bib/bbw088
更新日期:2017-11-01 00:00:00
abstract::Accurately identifying the interactions between genomic factors and the response of cancer drugs plays important roles in drug discovery, drug repositioning and cancer treatment. A number of studies revealed that interactions between genes and drugs were 'many-genes-to-many drugs' interactions, i.e. common modules, op...
journal_title:Briefings in bioinformatics
pub_type: 杂志文章
doi:10.1093/bib/bbaa087
更新日期:2020-06-26 00:00:00
abstract::DNA-binding hot spot residues of proteins are dominant and fundamental interface residues that contribute most of the binding free energy of protein-DNA interfaces. As experimental methods for identifying hot spots are expensive and time consuming, computational approaches are urgently required in predicting hot spots...
journal_title:Briefings in bioinformatics
pub_type: 杂志文章
doi:10.1093/bib/bbz037
更新日期:2020-05-21 00:00:00
abstract::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 anima...
journal_title:Briefings in bioinformatics
pub_type: 杂志文章,评审
doi:10.1093/bib/bbx055
更新日期:2018-11-27 00:00:00
abstract::The explosion in genomic sequence available in public databases has resulted in an unprecedented opportunity for computational whole genome analyses. A number of promising comparative-based approaches have been developed for gene finding, regulatory element discovery and other purposes, and it is clear that these tool...
journal_title:Briefings in bioinformatics
pub_type: 杂志文章
doi:10.1093/bib/3.1.18
更新日期:2002-03-01 00:00:00
abstract::Deoxyribonucleic acid replication is one of the most crucial tasks taking place in the cell, and it has to be precisely regulated. This process is initiated in the replication origins (ORIs), and thus it is essential to identify such sites for a deeper understanding of the cellular processes and functions related to t...
journal_title:Briefings in bioinformatics
pub_type: 杂志文章
doi:10.1093/bib/bbaa304
更新日期:2020-11-25 00:00:00
abstract::A proliferation of chemical, reaction and enzyme databases, new computational methods and software tools for data-driven rational biosynthesis design have emerged in recent years. With the coming of the era of big data, particularly in the bio-medical field, data-driven rational biosynthesis design could potentially b...
journal_title:Briefings in bioinformatics
pub_type: 杂志文章
doi:10.1093/bib/bbz065
更新日期:2020-07-15 00:00:00
abstract::Computational biology is essential in the process of translating biological knowledge into clinical practice, as well as in the understanding of biological phenomena based on the resources and technologies originating from the clinical environment. One such key contribution of computational biology is the discovery of...
journal_title:Briefings in bioinformatics
pub_type: 杂志文章
doi:10.1093/bib/bbp008
更新日期:2009-07-01 00:00:00
abstract::Gene expression profiling holds great potential as a new approach to histological diagnosis and precision medicine of cancers of unknown primary (CUP). Batch effects and different data types greatly decrease the predictive performance of biomarker-based algorithms, and few methods have been widely applied to identify ...
journal_title:Briefings in bioinformatics
pub_type: 杂志文章
doi:10.1093/bib/bbaa031
更新日期:2020-04-08 00:00:00
abstract:MOTIVATION:With the recent advances in DNA sequencing technologies, the study of the genetic composition of living organisms has become more accessible for researchers. Several advances have been achieved because of it, especially in the health sciences. However, many challenges which emerge from the complexity of sequ...
journal_title:Briefings in bioinformatics
pub_type: 杂志文章,评审
doi:10.1093/bib/bby072
更新日期:2019-11-27 00:00:00
abstract::Lipidomics, the systematic study of the lipid composition of a cell or tissue, is an invaluable complement to knowledge gained by genomics and proteomics research. Mass spectrometry provides a means to detect hundreds of lipids in parallel, and this includes low abundance species of lipids. Nevertheless, frequently oc...
journal_title:Briefings in bioinformatics
pub_type: 杂志文章
doi:10.1093/bib/bbs030
更新日期:2013-05-01 00:00:00
abstract::Circular RNA (circRNA) is a group of RNA family generated by RNA circularization, which was discovered ubiquitously across different species and tissues. However, there is no global view of tissue specificity for circRNAs to date. Here we performed the comprehensive analysis to characterize the features of human and m...
journal_title:Briefings in bioinformatics
pub_type: 杂志文章
doi:10.1093/bib/bbw081
更新日期:2017-11-01 00:00:00
abstract::The increasing ease with which massive genetic information can be obtained from patients or healthy individuals has stimulated the development of interpretive bioinformatics tools as aids in clinical practice. Most such tools analyze evolutionary information and simple physical-chemical properties to predict whether r...
journal_title:Briefings in bioinformatics
pub_type: 杂志文章
doi:10.1093/bib/bbz146
更新日期:2021-01-18 00:00:00
abstract::Pathway enrichment analysis has been widely used to identify cancer risk pathways, and contributes to elucidating the mechanism of tumorigenesis. However, most of the existing approaches use the outdated pathway information and neglect the complex gene interactions in pathway. Here, we first reviewed the existing wide...
journal_title:Briefings in bioinformatics
pub_type: 杂志文章
doi:10.1093/bib/bbx091
更新日期:2019-01-18 00:00:00
abstract::Cells are compartmentalized by numerous membrane-bounded organelles and membraneless organelles (MLOs) to ensure temporal and spatial regulation of various biological processes. A number of MLOs, such as nucleoli, nuclear speckles and stress granules, exist as liquid droplets within the cells and arise from the conden...
journal_title:Briefings in bioinformatics
pub_type: 杂志文章
doi:10.1093/bib/bbaa271
更新日期:2020-10-30 00:00:00
abstract::Mediation analysis has been a useful tool for investigating the effect of mediators that lie in the path from the independent variable to the outcome. With the increasing dimensionality of mediators such as in (epi)genomics studies, high-dimensional mediation model is needed. In this work, we focus on epigenetic studi...
journal_title:Briefings in bioinformatics
pub_type: 杂志文章
doi:10.1093/bib/bbaa113
更新日期:2020-07-01 00:00:00
abstract::Maintaining the consistency of genomic annotations is an increasingly complex task because of the iterative and dynamic nature of assembly and annotation, growing numbers of biological databases and insufficient integration of annotations across databases. As information exchange among databases is poor, a 'novel' seq...
journal_title:Briefings in bioinformatics
pub_type: 杂志文章
doi:10.1093/bib/bbw017
更新日期:2017-03-01 00:00:00
abstract::Protein dynamics is central to all biological processes, including signal transduction, cellular regulation and biological catalysis. Among them, in-depth exploration of ligand-driven protein dynamics contributes to an optimal understanding of protein function, which is particularly relevant to drug discovery. Hence, ...
journal_title:Briefings in bioinformatics
pub_type: 杂志文章
doi:10.1093/bib/bbz141
更新日期:2020-12-01 00:00:00