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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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DOMMINO - Database Of MacroMolecular INteractiOns Resource Report Resource Website 1+ mentions |
DOMMINO - Database Of MacroMolecular INteractiOns (RRID:SCR_005958) | DOMMINO | data or information resource, database | DOMMINO is a comprehensive structural database on macromolecular interactions. As of June, 2011, it contains more than 407,000 binary interactions. The distinctive features of DOMMINO are: # Automated updates: DOMMINO is fully automated and is designed to update itself on a weekly basis, one day after a PDB weekly update. Thus, the community will be able to study macromolecular interactions almost immediately after they are released by PDB. # Coverage of non-domain mediated interactions: In addition to domain-domain and domain-peptide interactions the database characterizes the interaction between domains and unstructured protein regions that are not parts of a domain, such as inter-domain linkers and N- and C-termini. The interactions that involve the latter unstructured parts of proteins have been included to the database for the first time providing additional ~186,000 interactions (~45% of the total number of interactions, as of June, 2011). # Coverage of new structural domains: DOMMINO employs one of the most accurate structural classifications of proteins, SCOP. In addition to the existing SCOP-annotated domains, we employ a state-of-the-art machine learning approach to classify newer protein structures into existing SCOP families. With the progress of structural genomics, we do not expect a significant growth of the number of structurally novel folds or protein families and therefore our method allows covering almost all new protein structures. In total, using this predictive approach has allowed us to add more than 261,000 new interactions, almost twice as many as existing SCOP-annotated interactions. # The web-interface is designed to give the user a possibility of a flexible search as well as the capability to study macromolecular interactions in a PDB structure at the interaction network level and at the individual interface level. The web interface of the DOMMINO database includes a comprehensive list of help topics linked to the specific actions. In addition, we have designed a step-by-step tutorial that covers all aspects of working with the data from DOMMINO using the web interface. | macromolecular interaction, macromolecule, structural domain, non-domain mediated interaction, protein, domain, peptide, interaction, protein-protein interaction, protein-peptide interaction, protein-dna interactions, protein-rna interactions, rna-rna interactions, rna-dna interactions, interface structure, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) is related to: SCOP: Structural Classification of Proteins has parent organization: University of Missouri; Missouri; USA |
NSF DBI-0845196 | PMID:22135305 | biotools:dommino, nlx_151316 | http://orion.rnet.missouri.edu/~nz953/DOMMINO/, https://bio.tools/dommino | SCR_005958 | Database Of MacroMolecular INteractiOns | 2026-09-12 01:01:40 | 1 | |||||
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lapdftext Resource Report Resource Website |
lapdftext (RRID:SCR_006167) | lapdftext, LA-PDFText, | software application, software resource, text extraction software | Software that facilitates accurate extraction of text from PDF files of research articles for use in text mining applications. It is intended for both scientists and natural language processing (NLP) engineers interested in getting access to text within specific sections of research articles. The system extracts text blocks from PDF-formatted full-text research articles and classifies them into logical units based on rules that characterize specific sections. The LA-PDFText system focuses only on the textual content of the research articles. The current version of LA-PDFText is a baseline system that extracts text using a three-stage process: * identification of blocks of contiguous text * classification of these blocks into rhetorical categories * extraction of the text from blocks grouped section-wise. | text mining, pdf, text extraction, natural language processing |
is listed by: FORCE11 has parent organization: University of Southern California; Los Angeles; USA |
NSF 0849977; NIGMS RO1-GM083871; NIMH 1R01MH079068-01A2; NCRR U24 RR025736-01 |
PMID:22640904 | Acknowledgement requested, GNU General Public License, v3 | nlx_151668 | SCR_006167 | Layout-Aware PDF Text Extraction, Layout-Aware Text Extraction from Full-text PDF of Scientific Articles, lapdftext: Layout-Aware Text Extraction from Full-text PDF of Scientific Articles | 2026-09-12 01:01:41 | 0 | |||||
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HaploReg Resource Report Resource Website 1000+ mentions |
HaploReg (RRID:SCR_006796) | HaploReg | data or information resource, database | HaploReg is a tool for exploring annotations of the noncoding genome at variants on haplotype blocks, such as candidate regulatory SNPs at disease-associated loci. Using linkage disequilibrium (LD) information from the 1000 Genomes Project, linked SNPs and small indels can be visualized along with their predicted chromatin state in nine cell types, conservation across mammals, and their effect on regulatory motifs. HaploReg is designed for researchers developing mechanistic hypotheses of the impact of non-coding variants on clinical phenotypes and normal variation. | chromatin state, conservation, regulatory motif, alteration, variant, chromatin, motif, annotation, genome, variation, genome-wide association study, refsnp, refseq gene, snp, bio.tools, FASEB list |
is listed by: Debian is listed by: bio.tools is listed by: SoftCite has parent organization: Broad Institute |
NHGRI R01-HG004037; NHGRI RC1-HG005334; NSF 0644282 |
PMID:22064851 | biotools:HaploReg, nlx_151407 | http://compbio.mit.edu/HaploReg, https://bio.tools/HaploReg | SCR_006796 | 2026-09-12 01:01:44 | 1048 | ||||||
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Mouse Brain Atlases Resource Report Resource Website 1+ mentions |
Mouse Brain Atlases (RRID:SCR_007127) | Mouse Brain Atlases | atlas, data or information resource | High-resolution electronic atlases for mouse strains c57bl/6j, a/j, and dba/2j in either coronal or horizontal section. About this Atlas: The anterior-posterior coordinates are taken from an excellent print atlas of a C57BL/6J brain by K. Franklin and G. Paxinos (The Mouse Brain in Stereotaxic Coordinates, Academic Press, San Diego, 1997, ISBN Number 0-12-26607-6; Library of Congress: QL937.F72). The abbreviations we have used to label the sections conform to those in the Franklin-Paxinos atlas. A C57BL/6J mouse brain may contain as many as 75 million neurons, 23 million glial cells, 7 million endothelial cells associated with blood vessels, and 3 to 4 million miscellaneous pial, ependymal, and choroid plexus cells (see data analysis in Williams, 2000). We have not yet counted total cell number in DBA/2J mice, but the counts are probably appreciably lower.The brain and sections were all processed as described in our methods section. The enlarged images have a pixel count of 1865 x 1400 and the resolution is 4.5 microns/pixel for the processed sections.Plans: In the next several years we hope to add several additional atlases of the same sort for other strains of mice. A horizontal C57BL/6J atlas and a DBA/2J coronal atlas were completed by Tony Capra, summer 2000, and additional atlases may be made over the next several years. As describe in the MBL Procedures Section is not hard to make your own strain-specific atlas from the high resolution images in the MBL. | genetics, anatomy, coronal, cerebellum, c57bl/6j, dba/2j, a/j, horizontal, morphology, subcortical, volume | has parent organization: Mouse Brain Library | Human Brain Project ; NIDA ; NSF ; NIMH P20-MH 62009 |
nif-0000-00044 | SCR_007127 | 2026-09-12 01:01:45 | 7 | ||||||||
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Add Health (National Longitudinal Study of Adolescent Health) Resource Report Resource Website 10+ mentions |
Add Health (National Longitudinal Study of Adolescent Health) (RRID:SCR_007434) | Add Health | data or information resource, database | Longitudinal study of a nationally representative sample of adolescents in grades 7-12 in the United States during the 1994-95 school year. Public data on about 21,000 people first surveyed in 1994 are available on the first phases of the study, as well as study design specifications. It also includes some parent and biomarker data. The Add Health cohort has been followed into young adulthood with four in-home interviews, the most recent in 2008, when the sample was aged 24-32. Add Health combines longitudinal survey data on respondents social, economic, psychological and physical well-being with contextual data on the family, neighborhood, community, school, friendships, peer groups, and romantic relationships, providing unique opportunities to study how social environments and behaviors in adolescence are linked to health and achievement outcomes in young adulthood. The fourth wave of interviews expanded the collection of biological data in Add Health to understand the social, behavioral, and biological linkages in health trajectories as the Add Health cohort ages through adulthood. The restricted-use contract includes four hours of free consultation with appropriate staff; after that, there''s a fee for help. Researchers can also share information through a listserv devoted to the database. | adolescent, longitudinal, adult human, interview, social, behavior, health, early adult human, FASEB list | has parent organization: University of North Carolina at Chapel Hill; North Carolina; USA | Aging | NICHD ; NCI ; CDC ; NIAID ; NIMHD ; NIDCD ; NIGMS ; NIMH ; NINR ; NIA ; NIAAA ; NIDA ; NSF ; NIH ; Department of Health and Human Services ; MacArthur Foundation ; Robert Wood Johnson Foundation |
Restricted use | nif-0000-00621 | SCR_007434 | National Longitudinal Study of Adolescent Health | 2026-09-12 01:01:47 | 37 | |||||
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FATCAT Flexible Structural Neighborhood Resource Report Resource Website |
FATCAT Flexible Structural Neighborhood (RRID:SCR_007665) | FSN | data or information resource, database | Flexible Structural Neighborhood is a database of structural neighbors of proteins as seen by FATCAT - a flexible protein structure alignment program. The server accepts either a protein (PDB ID) or a domain (SCOP ID) as a query. For the former case, the server first displays the information of chains and domains of a given protein. Afterwards, users can retrieve similar structures for a domain (if domain information is available, i.e., the protein is collected by SCOP), or for a chain otherwise. The protein structure database we collected for similar structure search includes a representative set at 90% sequence identity of SCOP domains, and of up-to-date PDB entries that are not included in the latest release of SCOP. | server, database, molecule structure, protein structure, flexibility, structure, structural neighbor, protein, domain | is related to: FATCAT | NIGMS GM101457; NIGMS GM63208; NIGMS GM076221; NSF DBI-0349600 |
nif-0000-02854 | http://fatcat.ljcrf.edu/fatcat-cgi/cgi/FSN/fsn.pl | SCR_007665 | FATCAT Flexible Structural Neighborhood Database, FSN Database | 2026-09-12 01:01:49 | 0 | ||||||
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MCScanX Resource Report Resource Website 100+ mentions |
MCScanX (RRID:SCR_022067) | data analysis software, data processing software, software application, software resource, software toolkit | Software toolkit for detection and evolutionary analysis of gene synteny and collinearity. | gene synteny and collinearity, detection and evolutionary analysis, | NIAID R01 AI068908; NSF DBI 0849896; NSF MCB 0821096; NSF MCB 1021718 |
PMID:22217600 | Free, Available for download, Freely available | SCR_022067 | Multiple Collinearity Scan toolkit X version | 2026-09-12 01:00:04 | 345 | ||||||||
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Probabilistic atlas of the human cerebellum Resource Report Resource Website 1+ mentions |
Probabilistic atlas of the human cerebellum (RRID:SCR_008797) | Probablistic Cerebellar Atlas | atlas, data or information resource | A probabilistic atlas of the cerebellar lobules in the space defined by the MNI152 template. The anatomical definitions are based on the fMRI atlas of an individual cerebellum by Schmahmann et al. (2000). To obtain a representative anatomical atlas, we separately masked the lobules on T1-weighted MRI scans (1mm isotropic resolution) of 20 healthy young participants (10 male, 10 female, average age 23.7 yrs). Using a different set of 23 participants, we also masked the deep cerebellar nucelei. These cerebella were then aligned using different commonly used normalization algorithms. The resultant probabilistic maps allow for the valid assignment of functional activations to specific cerebellar lobules and the nuclei, while providing a quantitative measure of the certainty of such assignments. Furthermore, maximum probability maps derived from these atlases can be used to define regions of interest (ROIs) in functional neuroimaging and neuroanatomical research. The atlas is included in the newer releases of FSL and the Anatomy toolbox. More version of the atlases for use with MRICroN are also available. | adult, early adult, cerebellum, functional magnetic resonance imaging | has parent organization: UCL Motor Control Group | NSF BSC 0726685 | PMID:19457380 | nlx_144298 | SCR_008797 | 2026-09-12 01:02:01 | 3 | |||||||
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Computational Infrastructure for Geodynamics Resource Report Resource Website 10+ mentions |
Computational Infrastructure for Geodynamics (RRID:SCR_003371) | CIG | data or information resource, group, portal | Community-driven organization that develops and disseminates software for geophysics and related fields. They host codes in a wide range of disciplines in geodynamics and computational science including geodynamo, long-term tectonics, magma migration, mantle dynamics, seismology, and short-term crustal dynamics. | geophysics, modeling, computation, computational science, geodynamo, long-term tectonics, magma migration, mantle dynamics, seismology, short term crustal dynamics |
is listed by: CINERGI has parent organization: University of California at Davis; California; USA |
NSF 094946 | Free, Freely available | SciRes_000182 | SCR_003371 | Computational Infrastructure for Geodynamics (CIG) | 2026-09-12 01:00:54 | 16 | ||||||
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Tree of Life: Phylogeny of Spiders Resource Report Resource Website 1+ mentions |
Tree of Life: Phylogeny of Spiders (RRID:SCR_003801) | Phylogeny of Spiders | data or information resource, portal | Project whose aim is to produce a robust phylogeny of all the deepest branches within a mega-diverse group, the spiders, by combining a massive amount of newly generated comparative genomic data with a substantial set of new and re-assessed data on morphology and behavior. They propose to collect a huge amount of genomic information in order to test and improve the results achieved by over 50 detailed morphological cladistic analyses conducted by more than 30 investigators during the past 15 years. The insignificant amount of genomic work to date on spiders has been uncoordinated and of little utility for broad-scale phylogenetic investigation. The advent of high-throughput DNA sequencing, however, makes it feasible to examine substantial parts of the genome across a dense sampling of spider taxa. They propose to sequence at least 50 loci (genome samples of 500-1,000 or more base pairs that can be sequenced as single pieces in both directions simultaneously) for representatives of at least 500 genera of spiders and their closest relatives (the whipscorpion orders Amblypygi, Uropygi, and Schizomida). These genera will be carefully selected by a sampling strategy designed to maximize the resolution of deep branches within spider phylogeny, and will purposefully include all the previously most-favored study organisms of ethologists, ecologists, physiologists, and developmental and molecular biologists, thus integrating and contextualizing their research. Data matrices will be produced that combine the new genomic data with a new, comprehensive survey of morphological and behavioral homologies, offering a unique index to all comparative data on one large group. New computer software, designed in large part by members of their group and using massively parallel processing to achieve supercomputing capability, makes such analyses feasible. | morphology, molecule, phylogeny |
has parent organization: Tree of Life is parent organization of: Spider Ontology |
NSF DEB 0228699 | nlx_158099 | SCR_003801 | ATOL: Phylogeny of Spiders, Assembling the Tree of Life: Phylogeny of Spiders | 2026-09-12 01:00:54 | 1 | |||||||
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Open Science Data Cloud Resource Report Resource Website 1+ mentions |
Open Science Data Cloud (RRID:SCR_003523) | OSDC | data or information resource, data set, service resource, software resource | Service that provides petabyte-scale cloud resources to analyze, manage, and share scientific data. It is designed to serve medium to large sized research projects by managing and operating a secure cloud computing infrastructure that can be shared across a project. This Science as a Service approach to research saves scientists and their funders valuable time and money. All of the software developed is open source and hosted on GitHub. The OSDC also has 1PB of public data in a wide variety of disciplines. The data sets can downloaded over the internet or high performance networks such as Internet2, as well as computed over directly on the OSDC. | cloud | is parent organization of: Bionimbus | Gordon and Betty Moore Foundation ; NSF |
Application required, Purchase | nlx_157679 | SCR_003523 | 2026-09-12 01:00:54 | 4 | |||||||
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Dynamic Regulatory Events Miner Resource Report Resource Website 1+ mentions |
Dynamic Regulatory Events Miner (RRID:SCR_003080) | DREM | data processing software, software application, software resource | The Dynamic Regulatory Events Miner (DREM) allows one to model, analyze, and visualize transcriptional gene regulation dynamics. The method of DREM takes as input time series gene expression data and static transcription factor-gene interaction data (e.g. ChIP-chip data), and produces as output a dynamic regulatory map. The dynamic regulatory map highlights major bifurcation events in the time series expression data and transcription factors potentially responsible for them. DREM 2.0 was released and supports a number of new features including: * new static binding data for mouse, human, D. melanogaster, A. thaliana * a new and more flexible implementation of the IOHMM supports dynamic binding data for each time point or as a mix of static/dynamic TF input * expression levels of TFs can be used to improve the models learned by DREM * the motif finder DECOD can be used in conjuction with DREM and help find DNA motifs for unannotated splits * new features for the visualization of expressed TFs, dragging boxes in the model view, and switching between representations | transcription, gene regulation, dynamics, time series, gene expression, static, dynamic, transcription factor-gene interaction, chip-chip, transcription factor, regulatory network, hidden markov model, systems biology, gene regulatory network, times series expression data, dynamic network, chip-seq | has parent organization: Carnegie Mellon University; Pennsylvania; USA | NIH ; NIGMS 1RO1 GM085022; NIAID DNO1 AI-5001; NSF 0448453 |
PMID:22897824 | Free, Available for download, Freely available | nif-0000-30478 | SCR_003080 | Dynamic Regulatory Events Miner (DREM) | 2026-09-12 01:00:54 | 5 | |||||
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ImpactStory Resource Report Resource Website 1+ mentions |
ImpactStory (RRID:SCR_002632) | production service resource, service resource, software resource, source code | A web application which provides altmetrics to help researchers measure and share the impacts of their research outputs. After making a profile, scientists can track which of their publications are most popular through number of citations, frequency of PDF downloads, etc. Information from research outputs such as journal articles, blog posts, datasets, and software contribute to a user's impact, which is viewable in their profile. | altmetrics, metric, citeulike, crossref, scienceseeker, scopus, slideshare, topsy, twitter, vimeo, wordpress.com, plos, youtube |
is used by: Publons is listed by: FORCE11 is listed by: Connected Researchers is listed by: PLOS Article-Level Metrics is related to: PubMed is related to: GitHub is related to: FigShare is related to: Dryad Digital Repository is related to: Wikipedia is related to: Mendeley |
Alfred P. Sloan Foundation ; NSF ; Open Society Foundation |
Free, Freely available | nlx_156056 | SCR_002632 | ImpactStory | 2026-09-12 01:00:53 | 8 | |||||||
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Phenoscape Resource Report Resource Website 10+ mentions |
Phenoscape (RRID:SCR_003799) | Phenoscape | data or information resource, portal | Project to create a scalable infrastructure that enables linking phenotypes across different fields of biology by the semantic similarity of their descriptions. | phenotype, bio.tools |
is listed by: Debian is listed by: bio.tools is parent organization of: Teleost Anatomy Ontology is parent organization of: Vertebrate Taxonomy Ontology is parent organization of: Phenoscape Knowledgebase |
NSF DBI-1062404; NSF DBI-1062542; NSF BDI-0641025; NSF EF-0905606; NSF EF-0423641 |
biotools:Phenoscape, nlx_158096 | https://bio.tools/Phenoscape | SCR_003799 | 2026-09-12 01:00:54 | 10 | |||||||
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Short Time-series Expression Miner (STEM) Resource Report Resource Website 50+ mentions |
Short Time-series Expression Miner (STEM) (RRID:SCR_005016) | STEM | data processing software, software application, software resource | The Short Time-series Expression Miner (STEM) is a Java program for clustering, comparing, and visualizing short time series gene expression data from microarray experiments (~8 time points or fewer). STEM allows researchers to identify significant temporal expression profiles and the genes associated with these profiles and to compare the behavior of these genes across multiple conditions. STEM is fully integrated with the Gene Ontology (GO) database supporting GO category gene enrichment analyses for sets of genes having the same temporal expression pattern. STEM also supports the ability to easily determine and visualize the behavior of genes belonging to a given GO category or user defined gene set, identifying which temporal expression profiles were enriched for these genes. (Note: While STEM is designed primarily to analyze data from short time course experiments it can be used to analyze data from any small set of experiments which can naturally be ordered sequentially including dose response experiments.) Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible | statistical analysis, term enrichment, visualization, cluster, compare, short time series, gene expression, microarray, expression profile, gene, gene ontology, gene enrichment analyses, FASEB list |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: Carnegie Mellon University; Pennsylvania; USA |
NIAID NO1 AI-5001; NSF 0448453 |
PMID:16597342 PMID:15961453 |
Open unspecified license - Free for academic use | nlx_97053 | SCR_005016 | Short Time-series Expression Miner | 2026-09-12 01:00:55 | 90 | |||||
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Autopack Resource Report Resource Website 1+ mentions |
Autopack (RRID:SCR_006830) | autoPack | data processing software, software application, software resource | An open-source general packing algorithm that packs 3D objects onto surfaces, into volumes, and around volumes. It provides a general architecture to allow various packing algorithms to interoperate efficiently in the same model. autoPack can incorporate any packing solution into its modular python program architecture, but is currently optimized to provide a novel solution to the loose packing problem which places objects of discrete size into place (compared to advancing front, popcorn, or other fast tight-packing solutions that allow objects to scale to arbitrary masses.) Most popular 3D software programs now contain robust physics engines based on Bullet that can separate small collections of overlapping objects or allow volumes to be filled by pouring shapes from generators, but these approaches fails for large complex systems and result in either overlapping geometry, crashed software, or non-random gradients. Most packing algorithms are designed to position objects as efficiently as possible, but autoPack allows the user to select from random loose packing to highly organized packing methods����??even to choose both methods at the same time. autoPack positions 3D geometries into, onto, and around volumes with minimal to zero overlap. autoPack mixes several packing approaches and procedural growth algorithms. autoPack can thus place objects with forces and constraints to allow a high degree of control ranging from completely random distributions to highly ordered structures. * zero to minimal overlaps depending on the method used * accuracy vs speed parameters selected by the user * zero edge effects * complete control, from fully random to fully ordered distributions * agent-based interaction, weighting, and collision control | 3d visualization software, modeling software, 3d packing software, packing, 3d object, surface, volume, algorithm |
is related to: Cellpack has parent organization: Google Code has parent organization: Scripps Research Institute is parent organization of: Cellpack |
QB3 at UCSF Fellowship ; NSF 07576; NCRR P41 RR08605 |
GNU Lesser General Public License | nlx_151791 | https://sites.google.com/site/autofill21/, http://code.google.com/p/autofill/ | SCR_006830 | 2026-09-12 01:00:57 | 3 | ||||||
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ORION Resource Report Resource Website 50+ mentions |
ORION (RRID:SCR_010621) | data processing software, image analysis software, software application, software resource, source code | Project to develop tools that explore single neuron function via sophisticated image analysis. ORION software bridges advanced optical imaging and compartmental modeling of neuronal function by rapidly, accurately, and robustly generating, from structural image data, a cylindrical morphology model suitable for simulating neuronal function. | structural imaging, reconstruction, simulation, functional imaging, multiphoton, confocal | has parent organization: University of Houston; Texas; USA | University of Houston; Texas; USA ; NIA RO1-AG027577; NSF IIS-0431144; NSF IIS-0638875; NSF DMS-0915242 |
Free, Available for download, Freely available | nlx_56302 | http://cbl.uh.edu/ORION/research/overview, http://cbl.uh.edu/ORION/ | SCR_010621 | ORION Research | 2026-09-12 01:01:00 | 57 | ||||||
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Southern California Earthquake Data Center Resource Report Resource Website |
Southern California Earthquake Data Center (RRID:SCR_000663) | SCEDC | data or information resource, database | Archive of earthquake data for research in seismology and earthquake engineering in Southern California recorded or processed by the Southern California Seismic Network (SCSN). Users can access information on: * Recent earthquakes detected by the SCSN * Significant southern California earthquakes and faults * The southern California earthquake catalog, spanning from 1933 to present * Waveform and metadata files of SCSN seismic stations from 1977 to present * Data sets created by SCEC scientists to assist in ongoing and future research | southern california, earthquake, fault, waveform, seismic, data set | is listed by: CINERGI | U.S. Geological Survey G10AP00091; NSF EAR-0529922; Southern California Earthquake Center 07HQAG0008 |
THIS RESOURCE IS NO LONGER IN SERVICE | nlx_154718, r3d100011575 | https://doi.org/10.17616/R3ZS8F | SCR_000663 | 2026-09-12 01:01:20 | 0 | ||||||
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BindingDB Resource Report Resource Website 10+ mentions |
BindingDB (RRID:SCR_000390) | data or information resource, database | Web accessible database of data extracted from scientific literature, focusing on proteins that are drug-targets or candidate drug-targets and for which structural data are present in Protein Data Bank . Website supports query types including searches by chemical structure, substructure and similarity, protein sequence, ligand and protein names, affinity ranges and molecular weight . Data sets generated by BindingDB queries can be downloaded in form of annotated SDfiles for further analysis, or used as basis for virtual screening of compound database uploaded by user. Data are linked to structural data in PDB via PDB IDs and chemical and sequence searches, and to literature in PubMed via PubMed IDs . | drug, drug discovery, drug target, binding affinity, protein interaction, small molecule-protein interaction, interaction, protein, small molecule, FASEB list |
is related to: PSICQUIC Registry is related to: canSAR has parent organization: University of California at San Diego; California; USA |
National Institute of Standards and Technology ; NIGMS GM070064; NIGMS R24 GM144232; NSF 9808318 |
PMID:26481362 PMID:17145705 |
Free, Freely available | r3d100012074, nif-0000-02603 | https://doi.org/10.17616/R3ZS9T | SCR_000390 | BindingDB | 2026-09-12 01:01:19 | 41 | |||||
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Critical Zone Observatories Resource Report Resource Website 1+ mentions |
Critical Zone Observatories (RRID:SCR_002199) | CZO | data or information resource, database | Data related to the National Critical Zone Observatory Program including in-situ environmental sensors, field instruments, remote sensing, and surface and subsurface imaging. The Program serves the international scientific community through research, infrastructure, data, and models. They focus on how components of the Critical Zone interact, shape Earth's surface, and support life. A primary goal is to develop high-resolution 4D datasets that inform our theoretical framework, constrain our conceptual and coupled systems models, and test our model-generated hypotheses. They are developing cross-CZO capabilities to easily share, integrate, analyze and preserve the wide range of multi-disciplinary data generated by CZOs. | 4d, air, life, soil, rock, model, water, data set, meta-data standard |
is listed by: CINERGI has parent organization: University of California at Merced; California; USA has parent organization: University of Delaware; Delaware; USA has parent organization: Pennsylvania State University |
NSF | Free | nlx_154707 | SCR_002199 | National CZO, US NSF National CZO program | 2026-09-12 01:01:24 | 1 |
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