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Gene Ontology
Gene Ontology
"The mission of the GO Consortium is to develop a comprehensive, computational model of biological systems, ranging from the molecular to the organism level, across the multiplicity of species in the tree of life. The Gene Ontology (GO) knowledgebase is the world’s largest source of information on the functions of genes."
"The mission of the GO Consortium is to develop a comprehensive, computational model of biological systems, ranging from the molecular to the organism level, across the multiplicity of species in the tree of life. The Gene Ontology (GO) knowledgebase is the world’s largest source of information on the functions of genes."
KEGG Pathway Database
KEGG Pathway Database
"KEGG PATHWAY is a collection of manually drawn pathway maps representing our knowledge of the molecular interaction, reaction and relation networks for: 1. Metabolism, 2. Genetic Information Processing, 3. Environmental Information Processing, 4. Cellular Processes, 5. Organismal Systems, 6. Human Diseases, 7. Drug Development"
"KEGG PATHWAY is a collection of manually drawn pathway maps representing our knowledge of the molecular interaction, reaction and relation networks for: 1. Metabolism, 2. Genetic Information Processing, 3. Environmental Information Processing, 4. Cellular Processes, 5. Organismal Systems, 6. Human Diseases, 7. Drug Development"
The Human Reference Protein Interactome Mapping Project
The Human Reference Protein Interactome Mapping Project
"all pairwise combinations of human protein-coding genes are systematically being interrogated to identify which are involved in binary protein-protein interactions. In our most recent effort 17,500 proteins have been tested and a first human reference interactome (HuRI) map has been generated."
"all pairwise combinations of human protein-coding genes are systematically being interrogated to identify which are involved in binary protein-protein interactions. In our most recent effort 17,500 proteins have been tested and a first human reference interactome (HuRI) map has been generated."
STRING
STRING
"The STRING database (https://string-db.org/) systematically collects and integrates protein-protein interactions-both physical interactions as well as functional associations. The data originate from a number of sources: automated text mining of the scientific literature, computational interaction predictions from co-expression, conserved genomic context, databases of interaction experiments and known complexes/pathways from curated sources." Link
"The STRING database (https://string-db.org/) systematically collects and integrates protein-protein interactions-both physical interactions as well as functional associations. The data originate from a number of sources: automated text mining of the scientific literature, computational interaction predictions from co-expression, conserved genomic context, databases of interaction experiments and known complexes/pathways from curated sources." Link
IntAct
IntAct
"IntAct Molecular Interaction Database. IntAct provides a free, open source database system and analysis tools for molecular interaction data. All interactions are derived from literature curation or direct user submissions."
"IntAct Molecular Interaction Database. IntAct provides a free, open source database system and analysis tools for molecular interaction data. All interactions are derived from literature curation or direct user submissions."
Reactome
Reactome
"REACTOME is an open-source, open access, manually curated and peer-reviewed pathway database. Our goal is to provide intuitive bioinformatics tools for the visualization, interpretation and analysis of pathway knowledge to support basic and clinical research, genome analysis, modeling, systems biology and education."
"REACTOME is an open-source, open access, manually curated and peer-reviewed pathway database. Our goal is to provide intuitive bioinformatics tools for the visualization, interpretation and analysis of pathway knowledge to support basic and clinical research, genome analysis, modeling, systems biology and education."
Open Targets Platform
Open Targets Platform
"The Open Targets Platform is a comprehensive tool that supports systematic identification and prioritisation of potential therapeutic drug targets. By integrating publicly available datasets including data generated by the Open Targets consortium, the Platform builds and scores target-disease associations to assist in drug target identification and prioritisation. It also integrates relevant annotation information about targets, diseases, phenotypes, and drugs, as well as their most relevant relationships."
"The Open Targets Platform is a comprehensive tool that supports systematic identification and prioritisation of potential therapeutic drug targets. By integrating publicly available datasets including data generated by the Open Targets consortium, the Platform builds and scores target-disease associations to assist in drug target identification and prioritisation. It also integrates relevant annotation information about targets, diseases, phenotypes, and drugs, as well as their most relevant relationships."
miRBase
miRBase
"miRBase is the primary public repository and online resource for microRNA sequences and annotation. The latest release of the miRBase database (v22) contains 38 589 entries representing hairpin precursor microRNAs, from 271 organisms." Link
"miRBase is the primary public repository and online resource for microRNA sequences and annotation. The latest release of the miRBase database (v22) contains 38 589 entries representing hairpin precursor microRNAs, from 271 organisms." Link
TarBase
TarBase
"The database of experimentally supported miRNA targets on protein-coding transcripts. The content of TarBase-v9.0 is exclusively experimentally supported and consists of interactions identified via high- or low-yield methods. Raw datasets produced by state-of-the-art interactome mapping methods (e.g., HITS-CLIP, PAR-CLIP, CLASH) were uniformly analyzed to maintain consistently high-quality standards, while miRNA targets verified via low-yield methods were amassed by means of manual article curation."
"The database of experimentally supported miRNA targets on protein-coding transcripts. The content of TarBase-v9.0 is exclusively experimentally supported and consists of interactions identified via high- or low-yield methods. Raw datasets produced by state-of-the-art interactome mapping methods (e.g., HITS-CLIP, PAR-CLIP, CLASH) were uniformly analyzed to maintain consistently high-quality standards, while miRNA targets verified via low-yield methods were amassed by means of manual article curation."
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