With the increasing amount of data made available in chemical field, there is a strong need for systems capable comparing and classifying compounds an efficient effective way. The best approaches existing today are based on structure-activity relationship premise, which states that biological activity molecule strongly related to its structural or physicochemical properties. This work presents novel approach automatic classification by integrating semantic similarity with comparison methods....

Epidemiology is a data-intensive and multi-disciplinary subject, where data integration, curation sharing are becoming increasingly relevant, given its global context time constraints. The semantic annotation of epidemiology resources cornerstone to effectively support such activities. Although several ontologies cover some the subdomains epidemiology, we identified lack for epidemiology-specific terms. This paper addresses this need by proposing Ontology (EPO) describing integration with...

Our approach to the BioCreative IV challenge of recognition and classification drug names (CHEMDNER task) aimed at achieving high levels precision by applying semantic similarity validation techniques Chemical Entities Biological Interest (ChEBI) mappings. assumption is that chemical entities mentioned in same fragment text should share some relation. This method was further improved adapting measure take into account h-index each ancestor. We applied this two measures, simUI simGIC,...

Abstract Motivation: Representing domain knowledge in biology has traditionally been accomplished by creating simple hierarchies of classes with textual annotations. Recently, expressive ontology languages, such as Web Ontology Language, have become more widely adopted, supporting axioms that express logical relationships other than class–subclass, e.g. disjointness. This is improving the coverage and validity contained biological ontologies. However, current semantic tools still need to...

Abstract Public resources need to be appropriately annotated with metadata in order make them discoverable, reproducible and traceable, further enabling interoperable or integrated other datasets. While data-sharing policies exist promote the annotation process by data owners, these guidelines are still largely ignored. In this manuscript, we analyse automatic measures of quality, suggest their application as a mean encourage owners increase quality submissions, thereby contributing higher...

Epidemiology research is a truly multidisciplinary subject, relying on areas of knowledge as diverse medicine, biology, statistics, sociology and geography.1 The creation large-scale epidemiological models the development effective model-based prediction methods can only be achieved if efficient data collection techniques based reliable policies for sharing between communities health authorities are adopted.2 As domain that so strongly depends heterogeneous from origins, epidemiology greatly...

The mallard duck or wild (Anas platyrhynchos) is the world's most widespread and numerous dabbling duck, being traditionally hunted across many countries in Europe North America. This study aims to provide a detailed characterization of duck's meat lipid fraction obtained from farmed specimens, reared for hunting purposes, under semi-extensive conditions. mallard's total content averaged 2.0 4.26 g/100 g fresh breast leg portions, its comprised 23 individual fatty acids (FA) three...

Tolerogenic cell therapies provide an alternative to conventional immunosuppressive treatments of autoimmune disease and address, among other goals, the rejection organ or stem transplants. Since various methodologies can be followed develop tolerogenic therapies, it is important aware up date on all available studies that may relevant their improvement. Recently, knowledge graphs have been proposed link sources information, using text mining techniques. Knowledge facilitate automatic...

The red-legged partridge (Alectoris rufa) is a feathered game species of great socioeconomic importance in its native range and also the UK. aim this study was to present detailed comparison meat's lipid fraction obtained from wild farm-raised specimens simultaneously compare breast leg meat portions. Meat had significant (P < 0.05) lower proportion saturated fatty acid (less 5.1%) presented better P/S n-6/n-3 ratios, atherogenicity index than counterparts. 0.001) higher contents total...

Interactions between chemical compounds described in biomedical text can be of great importance to drug discovery and design, as well pharmacovigilance. We developed a novel system, \&quot;Identifying Chemical Entities\&quot; (IICE), identify interactions text. Kernel-based Support Vector Machines first the then an ensemble classifier validates classifies type each interaction. This relation extraction module was evaluated with corpus released for DDI Extraction task SemEval 2013, obtaining...

Summary Interactions between chemical compounds described in biomedical text can be of great importance to drug discovery and design, as well pharmacovigilance. We developed a novel system, “Identifying Chemical Entities” (IICE), identify interactions text. Kernel-based Support Vector Machines first the then an ensemble classifier validates classifies type each interaction. This relation extraction module was evaluated with corpus released for DDI Extraction task SemEval 2013, obtaining...

Given the increasing amount of biomedical resources that are being annotated with concepts from more than one ontology and covering multiple domains knowledge, it is important to devise mechanisms compare these take into account various annotation. For example, metabolic pathways their enzymes metabolites, thus similarity measures should them respect both those simultaneously.In this paper, we propose two approaches lift existing single-ontology semantic multi-domain measures. The...