Curator Dashboard

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 .

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• SciCrunch
• 17 years ago - by Anonymous

The Human Cancer Pathway Protein Interaction Network (HCPIN) was constructed as a step toward better integrating protein three-dimensional (3D) structural information in cancer systems biology. It was constructed by analysis of several classical cancer-associated signaling pathways and their physical protein-protein interactions. The HCPIN Website provides a comprehensive description of this biomedically important multipathway network together with experimental and homology models of HCPIN proteins useful for cancer biology research.

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• SciCrunch
• 17 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 11th,2023. The database HOX Pro contains information about organization, functions and evolution of gene ensembles, key roles in which play homeobox-genes. It is aimed at: 1. analysis and classification of regulatory and coding regions in diverse homeobox and related genes; 2. describing mutations and knock-outs of hox-genes, as well as hereditary diseases related to these genes; 3. graphical representation, comparisons and classification of hox-genes expression patterns and profiles (sea urchin blastula, Drosophila blastoderm and imaginal discs, vertebrate limbs, mammalian brain, human EC cells); 4. comparative analysis of organization of hox-based genetic networks the nematode Caenorhabditis elegans the sea urchins Strongylocentrotus purpuratus and other echinids, the fruit flies Drosophila melanogaster and D.virilis, the vertebrates chicken and mouse; 5. analysis of phylogeny and evolution of homeobox genes and clusters.

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• SciCrunch
• 17 years ago - by Anonymous

A database for facilitating the analysis of Drug Binding Competitiveness. It contains information about Computed Ligand-Receptor Interaction Energy and other attributes such as energy components; ligand classification, functions and properties. Ligand structure is also included. The database now contains 67,184 entries, in which there are 5,978 distinctive ligands and 2,258 distinctive receptors.

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• SciCrunch
• 17 years ago - by Anonymous

Repository of biological models created using CellML, a free, open-source, eXtensible markup language based standard for defining mathematical models of cellular function. Models may be browsed by category, which include: Calcium Dynamics, Cardiovascular Circulation, Cell Cycle, Cell Migration, Circadian Rhythms, Electrophysiology, Endocrine, Excitation-Contraction Coupling, Gene Regulation, Hepatology, Immunology, Ion Transport, Mechanical Constitutive Laws, Metabolism, Myofilament Mechanics, Neurobiology, pH Regulation, PKPD, Signal Transduction, Synthetic Biology. The community can contribute their models to this resource.

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• SciCrunch
• 17 years ago - by Anonymous

Public healthcare network in Sherbrooke, Quebec, Canada, affiliated with the Université de Sherbrooke Faculty of Medecine.

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• SciCrunch
• 14 years ago - submitted by Andrea Stagg

A database of biochemical pathways that provides access to metabolic transformations and cellular regulations derived from the Roche Applied Science Biochemical Pathways wall chart.

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• SciCrunch
• 17 years ago - by Anonymous

Athena is a web-based application that warehouses disparate datatypes related to the control of gene expression. Athena provides several features to enable exploration of the regulatory mechanisms of Arabidopsis gene control. The first main tool we provide is visualization of promoter domains of selected genes. Database crossreference for these transcription factors is provided as well as a statistical test for enrichment of binding activity within the set of selected promoters. The data mining tools in Athena allow for selection of sets of genes based on two different factors. -Genes can be select by specifying a set of binding factors whose putative sites must be present within all of those genes'' promoter regions. -Alternatively, genes can be selected using Gene Ontology annotations. Both GO (Gene Ontology) Slim terms and Gene Ontology terms are available. One can select a set of genes by either choosing a union of the genes annotated by a selected set of Slim terms or Gene Ontology terms. The selected gene''s putative binding factors are listed, including enrichment data. Furthermore, enriched presence of Gene Ontology terms is given. The analysis suite provides both enhanced data mining tools for selecting genes as well as several data displays., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.

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• SciCrunch
• 17 years ago - by Anonymous

Curated species-specific database present at the Plant Metabolic Network. It has a large number of experimentally supported enzymes and metabolic pathways, but it also houses a substantial number of computationally predicted enzymes and pathways.

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• SciCrunch
• 16 years ago - by Anonymous

Software application that map QTLs in F-2 intercross in model organisms (entry from Genetic Analysis Software)

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• SciCrunch
• 14 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 15, 2013. Doodle is a database that was developed to store and distribute information about the protein oligomerization domains that are encoded by various genomes. The protein oligomerization domains described here were found using the lambda repressor fusion system. Doodle uses a schema that is based on EnsEMBL, while also utilizing bioperl modules to both store and retrieve data. The frontend was developed entirely in perl, while the backend utilizes MySQL. GMOD was used to develop the genomic view.

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• SciCrunch
• 17 years ago - by Anonymous

Version 1.0 database for neuro-endocrine-immune (dbNEI) is a web-based knowledge resource specific for the NEI systems. It provides a knowledge environment for understanding the main regulatory systems of NEI in a molecular level. dbNEI provides a knowledge environment for understanding the main regulatory systems of NEI in a molecular level. dbNEI collects 1,058 NEI related signal molecules, their 940 interactions and 72 affiliated tissues from the Cell Signaling Networks database and manually selects 982 NEI papers from PubMed. NEI related information, such as signal transductions, regulations and control subunits, are integrated. Especially, dbNEI represents as graphic visualization, by which control subunits can be automatically obtained according to the inquiring issues. Version 2.0: We updated the database in four aspects. 1. Recruiting new NEI genes and compounds. 2. Adding KEGG,HPRD,Transcription factor and microRNA target relations. 3. Collecting drug-gene and disease-gene relation. 4. Building multi-layer network for drug-NEI-disease.

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• SciCrunch
• 17 years ago - by Anonymous

A database of imaging probes useful for preclinical and clinical studies. The National Institute of Mental Health (NIMH) and the Society for Non-Invasive Imaging in Drug Development (SNIDD) are in the process of creating a centralized, searchable PET, SPECT, and MRI tracer database as a resource for the scientific community. The goal of this effort is to promote the use of imaging probes in preclinical and clinical research and in drug discovery to accelerate the identification and validation of novel targets for therapeutic intervention in human diseases, especially those with central nervous system components. NIMH will maintain the tracer database as part of the Psychoactive Drug Screening Program (PDSP). The database will contain records for each radiotracer with relevant information such as target, research uses, pharmacology, pharmacokinetics, synthesis protocols, toxicology and safety data, dosimetry, other clinical data, IND info, permission to cross-reference pharmacology, toxicology, or safety data in a drug master file (if an IND exists), contact information, patent, etc. with appropriate safeguards in place to protect the intellectual property of proprietary compounds.

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• SciCrunch
• 17 years ago - by Anonymous

A statistical method for interpreting variations in protein sequence (e.g. coding SNPs in the population, SNVs in cancer genomes) in the context of protein post-translational signaling modifications.

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• SciCrunch
• 13 years ago - by Anonymous

Minimaps are designed to supplement the Metabolic Pathways Charts by enlarging selected major individual pathways so as to illustrate additional aspects of metabolism such as Membranes, Compartmentation, Organs, Organelles, Shuttles and Regulation. The selection is designed to stimulate the exploration of the pathways and make metabolism more meaningful.

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• SciCrunch
• 17 years ago - by Anonymous

An organization that is centered around the education of younger Parkinson's disease patients as well as their families, friends and healthcare professionals. They primarily provide educational and support programs and services that are designed to help younger Parkinson's patients manage the disease and maintain a healthy lifestyle. The center provides information about treatment options, clinical trials, support groups, person to person chats, local chapters,regional referral information, and Parkinson's related events.

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• SciCrunch
• 17 years ago - by Anonymous

A graphic, interactive program to map quantitative trait loci by regression methods; MAP MANAGER CLASSIC enhanced by quantitative trait mapping. (entry from Genetic Analysis Software)

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• SciCrunch
• 14 years ago - by Anonymous

DDIB collects information of domain-domain interactions and domain interactions with biological molecules such as RNA, DNA, peptides, inorganic ions, phospholipids and cholesterols. Most of the data were extracted automatically from publication abstracts in MEDLINE, and the rest were collected from other public databases, research laboratories and individual scientists. In addition, DDIB includes many putative domain-domain interactions inferred from documented protein-protein interactions. To provide comprehensive knowledge of a domain, DDIB also integrates relevant information from PFAM, InterPro, GO and KEGG databases.

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• SciCrunch
• 17 years ago - by Anonymous

An organization involved in the clinical research of Parkinson's disease. They are involved in a variety of clinical research including: deep brain stimulation (DBS), drug therapies, gait and falling issues, depression and other psychiatric problems, non-motor fluctuations, basic science and olfactory function during Parkinson's disease.

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• SciCrunch
• 16 years ago - by Anonymous

THIS RESOURCE IS NO LONGER IN SERVICE, documented on May 18th, 2016. A foundation that was founded in 2001, and sponsors academic centers throughout the US. The MIchael Stern Parkinson's Research Foundation focuses its efforts mainly on finding the causes of the disease, finding effective treatments, and discovering a cure for the disease. The foundation is notably looking into dopamine and its effects on neural connections, as well its possibility to be used for treatment.<br/>Dr. Greengard has assembled a close knit group of more than 25 outstanding scientists who are focused on translating the fundamental understandings about the dopamine system into new treatments for Parkinson's. The core team of researchers is based at the Stern Foundation laboratory on the campus of The Rockefeller University interacts continually with collaborators from the United Kingdom, France, Sweden, Italy, Japan and Korea. This global presence ensures that no promising research lead is overlooked, and that progress can be made on multiple fronts simultaneously. As the Foundation grew it was able to expand its support for critical neurological research to two other institutions, Harvard University's McLean Hospital, where we support the research of Dr. Ole Isacson whose research lab, The Stern Center for Neuroregeneration Research is using gene therapy to protect the most vulnerable neurons in PD models; and the Institute for Neurodegenerative Disorders, where Yale Professors Dr. Ken Marek and Dr. John Seibyl are developing novel tools for early detection and monitoring of Parkinson's disease by studying physiologic, biochemical and neuroimaging biomarkers for non-dominergic manifestations of Parkinsonism. :NIF thanks the Parkinson's Disease Foundation, http://www.pdf.org for their referral of this resource to us.

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• SciCrunch
• 15 years ago - by Anonymous