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http://epsd.biocuckoo.org/

Software tool as an annotated database of protein phosphorylation sites in eukaryotes. Contains experimentally identified and conserved p-sites which were collected from phosphoproteomic studies.

Proper citation: EPSD Eukaryotic Phosphorylation Site Database (RRID:SCR_016514) Copy   

•   Source: SciCrunch Registry

http://www.mrmatlas.org/

Resource of targeted proteomics assays to detect and quantify proteins in complex proteome digests by mass spectrometry. Used to quantify the complete human proteome.

Proper citation: SRMAtlas (RRID:SCR_016996) Copy   

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https://www.alzforum.org/alzpedia

Collection of brief summaries of various genes and proteins implicated in pathophysiology of Alzheimer’s disease and other neurodegenerative disorders. It will be expanded over time and updated periodically in order to reflect current state of knowledge.

Proper citation: ALZPEDIA (RRID:SCR_017548) Copy   

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http://www.bumc.bu.edu/msr/

Biomedical technology research center that conducts high-sensitivity structural determinations and analyses of biological compounds via mass spectrometry. The emphasis is on glycoconjugates, oligosaccharides and proteins.

Proper citation: BUSM Mass Spectrometry Resource (RRID:SCR_000823) Copy   

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http://www.nmrfam.wisc.edu/

Provides access and developes NMR technology to advance range of applications and improves the efficiency, rigor and reproducibility of NMR data acquisition and analysis. Houses NMR spectrometers equipped with state-of-the-art probe technology and protocols to support acquisition of high-quality data. Spectrometers range from 500 MHz to 1100 MHz. Service is tailored to the needs of individual users and projects. Provides training and advice on experimental design, best practices for data acquisition, and data analysis. Experienced staff support users with training opportunities including workshops, video tutorials and protocols.

Proper citation: National Magnetic Resonance Facility at Madison (RRID:SCR_001449) Copy   

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http://www.acert.cornell.edu/

Biomedical technology research center that develops methods, both experimental and theoretical, of modern electron spin resonance (ESR) for biomedical applications. Center technologies are applicable to the determination of the structure and complex dynamics of proteins. Principal areas of expertise: * Pulsed Fourier Transform and Two Dimensional ESR * High Frequency-High Field (HFHF) ESR * High Resolution ESR Microscopy * Theory and Computational Methods for Modern ESR Activities include: * making resources available to the biomedical community, * publishing results, * running workshops on the new methodologies, * addressing the need to bring these new technologies to other laboratories.

Proper citation: National Biomedical Center for Advanced ESR Technology (RRID:SCR_001444) Copy   

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http://mpr.nci.nih.gov/prow/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 17, 2013. It offers short, structured reviews of proteins and protein families, especially leukocyte surface membrane molecules. Index of information available from PROW includes CD molecule, Alternate names, Current Guides, Past Guides, Entrez Gene and Assigning workshop. Current guides: expanded format including Summary Sentence and Abstract Past guides: older guides with excellent information, some data may be dated

Proper citation: PROW (RRID:SCR_002434) Copy   

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http://biology.hunter.cuny.edu/index.php?option=com_content&view=article&id=138&Itemid=117

Facility which provides instruments and instrument resources for analyzing DNA, RNA, protein, and radio-labeled substances.

Proper citation: Hunter Genomic Facility (RRID:SCR_001983) Copy   

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http://www.ebi.ac.uk/genomes

The EBI genomes pages give access to a large number of complete genomes including bacteria, archaea, viruses, phages, plasmids, viroids and eukaryotes. Methods using whole genome shotgun data are used to gain a large amount of genome coverage for an organism. WGS data for a growing number of organisms are being submitted to DDBJ/EMBL/GenBank. Genome entries have been listed in their appropriate category which may be browsed using the website navigation tool bar on the left. While organelles are all listed in a separate category, any from Eukaryota with chromosome entries are also listed in the Eukaryota page. Within each page, entries are grouped and sorted at the species level with links to the taxonomy page for that species separating each group. Within each species, entries whose source organism has been categorized further are grouped and numbered accordingly. Links are made to: * taxonomy * complete EMBL flatfile * CON files * lists of CON segments * Project * Proteomes pages * FASTA file of Proteins * list of Proteins

Proper citation: EBI Genomes (RRID:SCR_002426) Copy   

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http://www.linked-neuron-data.org/

Neuroscience data and knowledge from multiple scales and multiple data sources that has been extracted, linked, and organized to support comprehensive understanding of the brain. The core is the CAS Brain Knowledge base, a very large scale brain knowledge base based on automatic knowledge extraction and integration from various data and knowledge sources. The LND platform provides services for neuron data and knowledge extraction, representation, integration, visualization, semantic search and reasoning over the linked neuron data. Currently, LND extracts and integrates semantic data and knowledge from the following resources: PubMed, INCF-CUMBO, Allen Reference Atlas, NIF, NeuroLex, MeSH, DBPedia/Wikipedia, etc.

Proper citation: Linked Neuron Data (RRID:SCR_003658) Copy   

•   Source: SciCrunch Registry

http://specimencentral.com/

World's open biospecimen research database where biobanks and biomedical researchers meet to exchange human biospecimen needs and supply: whole blood, serum, plasma, solid tissue samples and more. The connection is accelerated so researchers save valuable time and money and tissue banks utilize inventory. The pace of specimen procurement remains unacceptably slow to the biomedical research community. Specimen Central is the foremost global resource to aid biomedical researchers in expediting their search for high quality human biospecimens, tissues, samples and specimens. They facilitate your search for blood, whole blood, buccal swab, DNA, RNA, protein, cell lines, plasma, serum, RBC, white cells, buffy coat, fluid, marrow, urine, stem cells, and solid tissue such as tumor, tumor and biopsy materials spanning all manner of common and rare pathologies and indications including Alzheimer's, basal cell carcinoma, bladder cancer, bone cancer, brain cancer, breast cancer, cerebrospinal fluid, amniotic fluid, colorectal cancer, colon cancer, hodgkins and non-hodgkins lymphoma, kidney/renal cancer, leukemia, liver cancer, lung cancer, melanoma, multiple sclerosis, myeloma neuroblastoma, neurodegenerative diseases, ovarian cancer, pancreatic cancer, prostate cancer, urinary cancer. This includes adult and pediatric indications. Specimen Central users specify a number of variables in their Specimen Requests, including preparation, preservation and handling requirements such as cryo-preserved, FFPE (Formalin-fixed paraffin-embedded), formalin, frozen, refrigerated, OCT, snap frozen, paraffin block, fresh, prospective, autopsy or cadaveric, etc. Many users require clinically annotated date associated with their specimens, as well as documentation of IRB or ethics committee approval and informed consents. For Researchers Most specimen databases require researchers to waste time and effort entering lengthy registrations and search queries that yield poor results, if anything. Specimen Central solves this problem by having tissue banks search for you. From years to months, months to weeks, and weeks to days, Specimen Central seeks to reduce delays and costs in the research & development life cycle by expediting connections between demand and supply. For Biobanks The capital costs of maintaining a biobank infrastructure are substantial and growing. Biobanks use Specimen Central as a marketing tool to augment their business development efforts. By routinely checking Specimen Central's Specimen Requests, biobanks can uncover market demand for their inventories and develop new connections and revenue streams to defray costs. Specimen Central supplements - not displaces - the efforts of your sales representatives, agents, brokers and commercial partners.

Proper citation: SpecimenCentral.com (RRID:SCR_003536) Copy   

•   Source: SciCrunch Registry

http://www.ebi.ac.uk/Tools/

The European Bioinformatics Institute (EBI) toolbox area provides a comprehensive range of tools for the field of bioinformatics. These are subdivided into categories in the left menu for convenience. EBI has developed a large number of very useful bioinformatics tools. A few examples include: - Similarity & Homology - the BLAST or FASTA programs can be used to look for sequence similarity and infer homology. - Protein Functional Analysis - InterProScan can be used to search for motifs in your protein sequence. - Proteomic Services NEW - UniProt DAS server allows researchers to show their research results in the context of UniProtKB/Swiss-Prot annotation. - Sequence Analysis - ClustalW2 a sequence alignment tool. - Structural Analysis - MSDfold can be used to query your protein structure and compare it to those in the Protein Data Bank (PDB). - Web Services - provide programmatic access to the various databases and retrieval/analysis services EBI provides. - Tools Miscellaneous - Expression Profiler a set of tools for clustering, analysis and visualization of gene expression and other genomic data. Sponsors: This resource is sponsored by EBI.

Proper citation: Toolbox at the European Bioinformatics Institute (RRID:SCR_002872) Copy   

•   Source: SciCrunch Registry

http://www.grt.kyushu-u.ac.jp/spad/

It is divided to four categories based on extracellular signal molecules (Growth factor, Cytokine, and Hormone) and stress, that initiate the intracellular signaling pathway. SPAD is compiled in order to describe information on interaction between protein and protein, protein and DNA as well as information on sequences of DNA and proteins. There are multiple signal transduction pathways: cascade of information from plasma membrane to nucleus in response to an extracellular stimulus in living organisms. Extracellular signal molecule binds specific intracellular receptor, and initiates the signaling pathway. Now, there is a large amount of information about the signaling pathway which controls the gene expression and cellular proliferation. We have developed an integrated database SPAD to understand the overview of signaling transduction.

Proper citation: Signaling Pathway Database (RRID:SCR_008243) Copy   

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http://escience.invitrogen.com/ipath/

THIS RESOURCE IS NO LONGER IN SERVICE, documented on August 26, 2016. LINNEA Pathways is a user-friendly comprehensive online resource for gene- or protein-based scientific research. It is based on a total of 248 signaling and metabolic human biological pathway maps created for Invitrogen by GeneGo. The current version of iPath features 225 maps displaying human regulatory and metabolic pathways established in experimental literature produced by MetaCore from GeneGo, Inc. The map objects (proteins, genes, EC functions, and compounds) are connected via metabolic transformations and physical protein interactions, which were assembled by the GeneGo team of experienced annotators, geneticists, and biochemists. The pathways are organized in a vertical fashion following the general signaling path from signaling molecules and membrane receptors, via signal transduction cascades, to transcription factors and their gene targets. Following the natural organization of cellular machinery with highly interconnected pathways and modules, many maps are linked together via hyperlinked box symbols. Such linkage allows the reconstruction of a big picture view of human cell biology., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

Proper citation: Invitrogen iPath (RRID:SCR_008120) Copy   

•   Source: SciCrunch Registry

http://itfp.biosino.org/itfp/

ITFP is an integrated transcription factor (TF) platform, which included abundant TFs and targets message of mammalian. Support vector machine (SVM) algorithm combined with error-correcting output coding (ECOC) algorithm was utilized to identify and classify transcription factor from protein sequence of Human, Mouse and Rat. For transcription factor targets, a reverse engineering method named ARACNE was used to derive potential interaction pairs between transcription factor and downstream regulated gene from Human, Mouse and Rat gene expression profile data. Detailed information of gene expression profile data can be found in help page. Moreover, all data provided by the platform is free for non-commercial users and can be downloaded through links on help page.

Proper citation: Intergrated Transcription Factor Platform (RRID:SCR_008119) Copy   

•   Source: SciCrunch Registry

http://wodaklab.org/iRefWeb/

iRefWeb is an interface to a relational database containing the latest build of the interaction Reference Index (iRefIndex) which integrates protein interaction data from nine different interaction databases: BioGRID, BIND, CORUM, DIP, HPRD, INTACT, MINT, MPPI, MPACT and OPHID. Integration is achieved through a rigorously documented procedure for mapping protein IDs across databases, enabling systematic backtracking of the links used to establish the identity of the interaction partners. The iRefWeb interface groups interaction records from the different databases into a single non-redundant view. In particular iRefWeb facilitates comparing interaction records as seen by the various source databases relative to the PubMeds they were annotated from. iRefWeb is one of several views of the iRefIndex resource. Data are also available in a tab-delimited plain-text format (PSI-MITAB) as well as planned releases of a PSI-XML formatted version and a Cytoscape plugin. Further details about the iRefIndex project as well as data downloads are available from here . The method used to build iRefIndex is described in a recent publication.

Proper citation: Interaction Reference Index Web Interface (RRID:SCR_008118) Copy   

•   Source: SciCrunch Registry

http://www.ingenuity.com/

A horizontally and vertically structured database that pulls scientific and medical information and describes it consistently using the Ingenuity Ontology. The Knowledge Base pulls information from journals, public molecular content databases, and textbooks. Data is curated and and integrated into the Knowledge Base .

Proper citation: Ingenuity Pathways Knowledge Base (RRID:SCR_008117) Copy   

•   Source: SciCrunch Registry

http://www.ebi.ac.uk/ipd/mhc/bola/

This website is intended to be the definitive source of information on the bovine major histocompatibility complex - its genes, proteins and polymorphism. Its purpose is to collate data on the Bovine Leucocyte Antigens (BoLA) and provide a forum for the analysis and nomenclature of polymorphisms in the genes and proteins of the bovine MHC. The BoLA nomenclature committee is a standing committee of the International Society for Animal Genetics. Its purpose is to collate data on the Bovine Leucocyte Antigens (BoLA) and provide a forum for the analysis and nomenclature of polymorphisms in the genes and proteins of the bovine MHC. The information gathered here is based on the BoLA workshop reports, which are published in Animal Genetics and the European Journal of Immunogenetics. The workshop report data are reproduced with the permission of the publishers Blackwell Science, and other text on the site is used with the permission of CRC Press.

Proper citation: BoLA Nomenclature: International Society for Animal Genetics (RRID:SCR_008142) Copy   

•   Source: SciCrunch Registry

http://mips.gsf.de/proj/ppi/

The MIPS mammalian protein-protein interaction database (MPPI) is a new resource of high-quality experimental protein interaction data in mammals. The content is based on published experimental evidence that has been processed by human expert curators. It is a collection of manually curated high-quality PPI data collected from the scientific literature by expert curators. We took great care to include only data from individually performed experiments since they usually provide the most reliable evidence for physical interactions. To suit different users needs we provide a variety of interfaces to search the database: -Expert interface Simple but powerful boolean query language. -PPI search form Easy to use PPI search -Protein search Just find proteins of interest in the database Sponsors: This work is funded by a grant from the German Federal Ministry of Education and Research.

Proper citation: MIPS Mammalian Protein-Protein Interaction Database (RRID:SCR_008207) Copy   

•   Source: SciCrunch Registry

http://mips.helmholtz-muenchen.de/genre/proj/mpcdb/

A database of manually annotated mammalian protein complexes. To obtain a high-quality dataset, information was extracted from individual experiments described in the scientific literature. Data from high-throughput experiments was not included.

Proper citation: Mammalian Protein Complex Data Base (RRID:SCR_008209) Copy   

•   Source: SciCrunch Registry