Nowadays, EMBiology is a topic that has gained great relevance in the _var2 area. Since its inception, EMBiology has captured the attention of experts and the general public, generating extensive debate about its implications. In this article, we will explore in depth the different aspects of EMBiology, analyzing its impact on _var3 and its relevance in today's society. Additionally, we will examine possible solutions and alternatives to address the challenges posed by EMBiology. Through a comprehensive approach, we will seek to understand the complexity of this issue and its influence in various areas.
EmBiology (formerly EMBiology) is a web-based Software as a service tool from Elsevier in which researchers can view biological relationships between entities, such as genes, proteins, and cells.[1]
Launched in 2023, EmBiology queries a Biological Knowledge Graph with 1.4 million entities connected by 15.7 million relationships.[1] It uses a Sankey diagram to visualize search findings, and displays "snippets" of text from relevant scientific literature.
EmBiology was originally launched as EMBiology in 2005 as a life science bibliographic database in a partnership with Ovid Technologies as a smaller version of Embase.[2]
EmBiology Data sources include:[3]
The following biological concepts are included in EmBiology:[4]
| Concept | Description |
|---|---|
| Drugs & chemicals | Naturally occurring metabolites, small molecules found in cell, drugs (incl. small molecules & biologics) |
| Diseases | Health conditions and disease terms |
| Proteins | Represents both genes and the gene products, including proteins and miRNAs |
| Functional classes | Proteins classes based on biological function |
| Protein complexes | One or more polypeptides that form a complex via physical interactions |
| Genetic variant | Variants searchable by SNPID and text |
| Cells | Mammalian cell types & cell lines |
| Cell Process | Biological processes (e.g., apoptosis, inflammation) |
| Organs | Mammalian organ types |
| Tissues | Mammalian tissue types |
| Viruses | An agent that causes infectious diseases |
| Clinical parameter | Measured parameters of the human body used in clinical practice |
| Treatment | Non-chemical treatments and environmental conditions |
| Cell object | Organelles, cell structural components |
The following biological relationships are included in EmBiology[5]
| Relation | Description | Example |
|---|---|---|
| Expression | Changes protein abundance by affecting levels of transcript or protein stability | MDM2 has a negative "Expression" relationship with TP53 |
| miRNA Effect | Inhibitory effect of an miRNA on its mRNA target | miR-30 has a negative "miRNAEffect" relationship with TP53 |
| Promoter Binding | Binds to the promoter of a gene | FOXC1 has a positive "PromoterBinding" relationship with MMP7 |
| Regulation | Changes activity by an unknown mechanism (may be direct or indirect) | SOCS3 has a positive "Regulation" relationship with diabetes mellitus |
| Direct Regulation | Influences activity by direct physical interaction | BRCA1 has a "DirectRegulation" relationship with BARD1 |
| Binding | Direct physical interaction between two molecules | FANCD2 has a "Binding" relationship with BRCA1 |
| Protein Modification | Changes the modification of the target molecule, usually by direct interaction | SRC has a "ProtModification" relationship with GRB2 |
| Biomarker | Identification of proteins/complexes/functional classes/metabolites that are prognostic or diagnostic biomarkers for a disease | Lung cancer has a "Biomarker" relationship with IL6 |
| Genetic Change | Genetic changes such as gene deletions, amplifications, mutations or epigenetic changes | Lung cancer has a "GeneticChange" relationship with ALK |
| Quantitative Change | Changes in abundance/activity/expression of a gene/protein/small molecule in a disease state | Breast cancer has a positive "QuantitativeChange" relationship with AGK |
| State Change | Changes in a protein's post-translational modification status or alternative splicing events | Breast cancer has a "StateChange" relationship with estrogen receptor |
| Functional Assoc. | Between a disease and a cellular process or another disease | Chronic pancreatitis has a "FunctionalAssociation" relationship with pancreatic cancer |
| Chemical Reaction | Either enzyme catalysed or spontaneous chemical reaction | CYP3A has a "ChemicalReaction" relationship with ticagrelor |
| Molecular Synthesis | Changes the concentration of the target | CYP3A has a "MolSynthesis" relationship with midazolam |
| Molecular Transport | Changes the localization of the target | Tamoxifen has a positive "MolTransport" relationship with MAPK3 |
| Clinical Trial | Clinical trials conducted for a drug against a disease (from CT.gov) | Tamoxifen has a positive "Clinical Trial" relationship with breast cancer |
| Cell Expression | Expression of proteins within or on the surface of a cell | Hepatocyte has a "CellExpression" relationship with EGFR |