Provides a list of convention for annotating and organize relationships in bioregulatory systems. MIM notation describes the relationships between multiple entities by using interactions glyphs, a controlled vocabulary and typographical convention. The system is able to display complex set of regulatory network interconnections or to capture different cell types and cell states. It also allows the specification of known molecular data as well as the addition of contingencies.
Contains cellular events in humans, mice, and rats, collected from over 31,500 publications. Transpath offers information about the intracellular signaling pathways. It allows the user to see details of the signal flow from the cell surface into the nucleus, focusing on mammals such as humans, mice, and rats. The database is organized by genes/molecules and by reactions according to multiple hierarchies and is manually curated.
An integrated database resource consisting of 16 main databases, which are categorized into systems, genomic, chemical and health information. The PATHWAY, BRITE and MODULE databases in the systems information category contain KEGG pathway maps, BRITE hierarchy and table files and KEGG modules, respectively, as representations of high-level functions. They are all manually created based on published literature. The genomic information category contains the GENOME and GENES databases for collections of organisms with complete genomes and their gene catalogs, which are mostly taken from RefSeq and GenBank databases. The COMPOUND, GLYCAN, REACTION, RPAIR, RCLASS and ENZYME databases in the chemical information category contain chemical substances and reactions and are collectively called KEGG LIGAND for historical reasons. The health information category consists of the DISEASE, DRUG, DGROUP and ENVIRON databases for disease and drug information.
Offers a way to search and discover the relationships among genes, proteins, compounds and small RNAs in plant signal transduction, metabolism and gene regulatory networks. HRGRN models the interactions between nodes by defining comprehensive types of edges. It provides connection by edges between the genes with similar expression patterns, which will provide in-depth insight into gene–gene relationships. The database permits to discover novel interactions between genes and/or pathways and the built-in analysis tool available on the site allows to build subnetworks for specified nodes based on known interactions.
Contains a comprehensive collection of literature curated human signaling pathways. OmniPath develops a uniform representation of the data that includes references, directionality, sign and additional details for each interaction as available. This database integrates additional information on the structure and mechanism of the interactions, drug targets, functional annotation, tissue-specific expression and mutations to increase its applicability.
An integrated resource to analyze signaling pathway cross-talks, miRNAs and regulatory enzymes in zebrafish. SignaFish contains more than 200 curation-based signaling interactions, 132 further interactions listed in other resources, and it also lists potential miRNA-based regulatory connections for seven major signaling pathways. From the SignaFish website, users can reach other web resources, such as ZFIN. SignaFish provides signaling or signaling-related interactions that can be examined for each gene or downloaded for each signaling pathway. SignaFish serves as a navigating point for experimental design and evaluation for the zebrafish community and for researchers focusing on nonmodel fish species, such as cyclids.
Provides a set of various large-scale datasets yielding an in-depth catalog of human platelet proteins, network modules, and regulators of platelet functionality. PlateletWeb permits users to proceed to assessment of the data quality, data integration, pharmacologic modulation and network investigation. This tool can assist users to construct novel hypotheses for the integrin subnetwork.
A resource of signal transduction pathways in humans. NetPath provides detailed maps of a number of immune signalling pathways, which include approximately 1600 reactions annotated from the literature and more than 2800 instances of transcriptionally regulated genes, all linked to over 5500 published articles. NetPath allows biomedical scientists to visualize, process and manipulate data pertaining to signalling pathways in humans.
Organizes and stores in a structured format signaling information published in the scientific literature. The captured information is stored as binary causative relationships between biological entities and can be represented graphically as activity flow. The entire network can be freely downloaded and used to support logic modeling or to interpret high content datasets. The core of this project is a collection of more than 11000 manually-annotated causal relationships between proteins that participate in signal transduction. Each relationship is linked to the literature reporting the experimental evidence. In addition each node is annotated with the chemical inhibitors that modulate its activity. The signaling information is mapped to the human proteome even if the experimental evidence is based on experiments on mammalian model organisms.
An annotated database of signaling cascades. PathDIP integrates data from 20 source pathway databases, comprising core pathways from major curated pathways databases, and extended pathways predicted by using physical protein interactions. Data integration and predictions increase coverage of pathway annotations for protein-coding genes to 86%, and provide novel annotations for 5,732 pathway orphans. PathDIP annotates 17,070 protein-coding genes with 4,678 pathways, and provides multiple query, analysis and output options.
A wiki-based visual encyclopedia of aging processes that will facilitate rapid exploration of aging pathways and mechanisms by experts and entrants to the field alike. Building on an initial content base constructed by a team of experts from peer-reviewed literature, users can integrate new data into biological pathway diagrams for a visible, intuitive, top-down framework of aging processes that fosters knowledge-building and collaboration. Aging Chart is an extension of the community curation model for pathway collections and is the first such resource to serve the growing community of researchers interested in the cellular and molecular biology of aging.
Supports the assembly of disease-related signaling networks to help infer the pathways disrupted in any specific disease. DISNOR is a resource that links disease-associated genes (extracted from the DisGeNET resource) via causal relationships annotated in the SIGNOR database. The database thus connects about 600 gene-products, whose mutations are associated to a specific pathological condition.
A comprehensive database resource for systems biology of DNA damage and repair. REPAIRtoire collects and organizes the following types of information: (i) DNA damage linked to environmental mutagenic and cytotoxic agents, (ii) pathways comprising individual processes and enzymatic reactions involved in the removal of damage, (iii) proteins participating in DNA repair and (iv) diseases correlated with mutations in genes encoding DNA repair proteins. Pathways are represented as graphs and in tabular form with descriptions of each repair step and corresponding proteins, and individual entries are cross-referenced to supporting literature and primary databases. REPAIRtoire can be queried by the name of pathway, protein, enzymatic complex, damage and disease.
Compiles information related with more than 1500 interactions between transcription factors (TFs) and cytokine genes. CytReg consists of a manually curated repository allowing users to search interactions by TF expression by cell-type (for both protein and mRNA levels), species, evidence or specific cytokine or TFs. Information is classified according three methods including in vivo binding.
A database of signaling pathway crosstalk. XTALKDB contains curated information for 650 pairs of pathways from over 1,600 publications. In addition, the database reports the molecular components (e.g. proteins, hormones, microRNAs) that mediate crosstalk between a pair of pathways and the species and tissue in which the crosstalk was observed. The XTALKDB website provides an easy-to-use interface for scientists to browse crosstalk information by querying one or more pathways or molecules of interest.
Offers a platform dedicated to the centralization of knowledge about the regulation of signaling processes. SignaLink is a manually curated repository allowing users to browse signaling pathway interactions as well as to determine pathway regulators, transcriptional and post-transcriptional regulatory components. The database also provides multiple subnetworks that can be downloaded in various formats including CSV, SBML and Cytoscape CYS file.
Describes in detail signalling and regulatory molecular processes that occur in a healthy mammalian cell. ACSN is characterized by several features: (i) it is a comprehensive description of cancer related mechanisms retrieved from the most recent literature, (ii) its content is represented as an interactive global map that can be browsed with Google Maps interface, (iii) it has an online discussion forum, allowing users to provide feedback and (iv) it has a built-in tool box for visualization and analysis of high-throughput data in the context of the comprehensive signalling network.
Provides an Alzheimer’s disease (AD) intra, inter and extra cellular pathway map curated from scientific literature. AlzPathway is a platform with the aim of enabling the evaluation of candidate risk genes listed by genome wide association studies (GWAS) and the analysis of omics data to reveal pathogenesis of AD. It includes more than 30 canonical pathways encompassing about 1300 species, 1000 reactions and more. The repository is available as both a web application and a SBML file that can be read by CellDesigner.
Allows users to browse a map of macrophage pathways as well as analyze and compare high-throughput data. The Virtual Macrophage is a web platform that studies on the druggability of a pathogen-modulated pathway network revealed vantage points for immunomodulation. It highlights potential interference between drugs and pathogens.