Search results: Found 2

Listing 1 - 2 of 2
Sort by
A Multidisciplinary Look at Stenotrophomonas maltophilia: An Emerging Multi-Drug-Resistant Global Opportunistic Pathogen

Authors: --- --- ---
Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889453535 Year: Pages: 133 DOI: 10.3389/978-2-88945-353-5 Language: English
Publisher: Frontiers Media SA
Subject: Science (General) --- Microbiology
Added to DOAB on : 2018-02-27 16:16:45
License:

Loading...
Export citation

Choose an application

Abstract

Stenotrophomonas maltophilia is a Gram-negative bacterium found in water, plant rhizospheres, animals, and foods. It is associated with a variety of infections in humans, involving respiratory tract (most common), soft tissue and bone, blood, eye, heart, and brain. This opportunistic pathogen is of serious concern to the immunocompromised patient population, and it is also being isolated with increasing frequency from the respiratory tract of individuals with cystic fibrosis. The observed increase worldwide in antibiotic resistance and the ability of this organism to make biofilms on epithelial cells and medical devices make it difficult for health-care personnel to treat infections caused by this pathogen. Recently, several genomes of S. maltophilia have been sequenced, revealing high genetic diversity among isolates. This pathogen uses a variety of molecular mechanisms to acquire and demonstrate resistance to an impressive array of antimicrobial drugs. Research has also focused on the pathogenesis of S. maltophilia in animal models and the resulting host immune response. S. maltophilia is recognized as an important organism in the plant microbiome. This environmental bacterium uses a diffusible signal mechanism for controlling its colonization and interaction with other bacteria and plants. S. maltophilia has also gained considerable research interest for its biotechnological applications, with recent studies on enzyme production, anti-biofilm strategies, biodegradation, and bioremediation. This e-book focuses on the latest developments in the areas of physiology, genomics, infection and immunity, host-pathogen interaction, pathogenesis, antimicrobial resistance and therapy, molecular epidemiology, applied and environmental microbiology, bioremediation and biotechnology.

Molecular Computing and Bioinformatics

Authors: --- ---
ISBN: 9783039211951 9783039211968 Year: Pages: 390 DOI: 10.3390/books978-3-03921-196-8 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- Biotechnology
Added to DOAB on : 2019-08-28 11:21:27
License:

Loading...
Export citation

Choose an application

Abstract

This text will provide the most recent knowledge and advances in the area of molecular computing and bioinformatics. Molecular computing and bioinformatics have a close relationship, paying attention to the same object but working towards different orientations. The articles will range from topics such as DNA computing and membrane computing to specific biomedical applications, including drug R&D and disease analysis.

Keywords

prostate cancer --- Mycoplasma hominis --- endoplasmic reticulum --- systems biology --- protein targeting --- biomedical text mining --- big data --- Tianhe-2 --- parallel computing --- load balancing --- bacterial computing --- bacteria and plasmid system --- Turing universality --- recursively enumerable function --- miRNA biogenesis --- structural patterns --- DCL1 --- protein–protein interaction (PPI) --- clustering --- protein complex --- penalized matrix decomposition --- avian influenza virus --- interspecies transmission --- amino acid mutation --- machine learning --- Bayesian causal model --- causal direction learning --- K2 --- brain storm optimization --- line graph --- Cartesian product graph --- join graph --- atom-bond connectivity index --- geometric arithmetic index --- P-glycoprotein --- efflux ratio --- in silico --- machine learning --- hierarchical support vector regression --- absorption --- distribution --- metabolism --- excretion --- toxicity --- image encryption --- chaotic map --- DNA coding --- Hamming distance --- Stenotrophomonas maltophilia --- iron acquisition systems --- iron-depleted --- RAST server --- NanoString Technologies --- siderophores --- gene fusion data --- gene susceptibility prioritization --- evaluating driver partner --- gene networks --- drug-target interaction prediction --- machine learning --- drug discovery --- microRNA --- environmental factor --- structure information --- similarity network --- bioinformatics --- identification of Chinese herbal medicines --- biochip technology --- DNA barcoding technology --- DNA strand displacement --- cascade --- 8-bit adder/subtractor --- domain label --- Alzheimer’s disease --- gene coding protein --- sequence information --- support vector machine --- classification --- adverse drug reaction prediction --- heterogeneous information network embedding --- stacking denoising auto-encoder --- meta-path-based proximity --- Panax ginseng --- oligopeptide transporter --- flowering plant --- phylogeny --- transcription factor --- multiple interaction networks --- function prediction --- multinetwork integration --- low-dimensional representation --- dihydrouridine --- nucleotide physicochemical property --- pseudo dinucleotide composition --- RNA secondary structure --- ensemble classifier --- diabetes mellitus --- hypoxia-inducible factor-1? --- angiogenesis --- bone formation --- osteogenesis --- protein transduction domain --- membrane computing --- edge detection --- enzymatic numerical P system --- resolution free --- molecular computing --- molecular learning --- DNA computing --- self-organizing systems --- pattern classification --- machine learning --- laccase --- Brassica napus --- lignification --- stress --- molecular computing --- bioinformatics --- machine learning --- protein --- DNA --- RNA --- drug --- bio-inspired

Listing 1 - 2 of 2
Sort by
Narrow your search