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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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University of Athens Biophysics and Bioinformatics Laboratory Resource Report Resource Website 1+ mentions |
University of Athens Biophysics and Bioinformatics Laboratory (RRID:SCR_006180) | University of Athens Biophysics & Bioinformatics Laboratory | data or information resource, degree granting program, graduate program resource, laboratory portal, organization portal, portal, training resource, undergraduate program resource | Laboratory focuses on research related to the elucidation of the principles governing protein structure and function, under the supervision of Professor Stavros J. Hamodrakas. In particular, original research is carried out along two main axes: # Algorithm development for the prediction of protein structure, function and interactions from amino acid sequence as well as construction of relevant databases. # Application of a variety of Biophysical methods and techniques for protein structure determination and for structural studies of complex, physiologically important, Biological tissues such as insect chorion and cuticle. More than 15 individuals (including post-doctoral researchers, PhD students, MSc and undergraduate students) are currently involved in several ongoing research projects. Apart from research, our lab offers undergraduate courses in Bioinformatics and Molecular Biophysics, which are elective for the degrees (BSc) in Biology (Faculty of Biology) and Physics (Faculty of Physics) of the University of Athens. At the same time, our lab is actively involved in the organization and co-ordination of the MSc Programme in Bioinformatics of the Faculty of Biology. | biophysics, bioinformatics, protein structure, protein function, protein, protein interaction, amino acid sequence, algorithm, prediction, structure, function, interaction |
has parent organization: University of Athens; Athens; Greece is parent organization of: PredSL is parent organization of: CAST is parent organization of: PRED-SIGNAL is parent organization of: AMYL-PRED is parent organization of: HMM-TM is parent organization of: PRED-LIPO is parent organization of: CW-PRED is parent organization of: PRED-TMBB is parent organization of: PRED-COUPLE 2 is parent organization of: ConBBPRED is parent organization of: PRED-GPCR is parent organization of: MCMBB is parent organization of: waveTM is parent organization of: PRED-TMR is parent organization of: GeneVito is parent organization of: PRED-CLASS is parent organization of: CoPreTHi is parent organization of: orienTM is parent organization of: SecStr is parent organization of: OMPdb is parent organization of: LepChorionDB is parent organization of: Human-gpDB is parent organization of: hPATM is parent organization of: NON-RED is parent organization of: DAM-Bio is parent organization of: SCAR is parent organization of: FT is parent organization of: DnaProt is parent organization of: CuticleDB is parent organization of: gpDB - a database of GPCRs G-proteins Effectors and their interactions is parent organization of: TMRPres2D is parent organization of: ExTopoDB |
nlx_151727 | SCR_006180 | Biophysics and Bioinformatics Laboratory at University of Athens, Biophysics and Bioinformatics Laboratory of the Department of Cell Biology and Biophysics of the University of Athens | 2026-09-03 04:48:51 | 2 | ||||||||
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Human Phenotype Ontology Annotations Resource Report Resource Website 1+ mentions |
Human Phenotype Ontology Annotations (RRID:SCR_006219) | HPO Annotations | data set, data or information resource | Downloadable dataset of Human Phenotype Ontology (HPO) annotations. Provides standardized vocabulary of phenotypic abnormalities encountered in human disease. | phenotype, genetics, hereditary disease, human disease, adult human, ontology, annotation, disease, clinical |
is used by: NIF Data Federation is used by: MONARCH Initiative is related to: Phenomizer has parent organization: HPO - Human Phenotype Ontology |
PMID:20412080 | Free, Freely available | nlx_151835 | http://www.human-phenotype-ontology.org/contao/index.php/downloads.html | SCR_006219 | 2026-09-03 04:48:28 | 2 | ||||||
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DataCite Ontology Resource Report Resource Website |
DataCite Ontology (RRID:SCR_006215) | DataCite Ontology | controlled vocabulary, data or information resource, ontology | An ontology written in OWL 2 DL to enable the metadata properties of the DataCite Metadata Kernel Specification version 2.2 (http://test.datacite.org/schema/meta/kernel-2.2/index.html) to be described in RDF. This version of the DataCite Ontology has been completely revised and significantly expanded to permit accurate mapping of this new version of the DataCite Metadata Kernel Specification to RDF. | annotation, alternate resource identifier, description type, funder identifier, funder identifier scheme, identifier, identifier scheme, personal identifier, personal identifier scheme, primary resource identifier, resource identifier, resource identifier scheme, owl, rdf, metadata |
is listed by: FORCE11 has parent organization: DataCite |
Creative Commons Attribution License | nlx_151759 | https://www.force11.org/node/4673 | SCR_006215 | 2026-09-03 04:48:52 | 0 | |||||||
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GeneVito Resource Report Resource Website |
GeneVito (RRID:SCR_006211) | GeneVito | data processing software, data visualization software, software application, software resource | A JAVA-based computer application that serves as a workbench for genome-wide analysis through visual interaction. GeneViTo offers an inspectional view of genomic functional elements, concerning data stemming both from database annotation and analysis tools for an overall analysis of existing genomes. The application deals with various experimental information concerning both DNA and protein sequences (derived from public sequence databases or proprietary data sources) and meta-data obtained by various prediction algorithms, classification schemes or user-defined features. Interaction with a Graphical User Interface (GUI) allows easy extraction of genomic and proteomic data referring to the sequence itself, sequence features, or general structural and functional features. Emphasis is laid on the potential comparison between annotation and prediction data in order to offer a supplement to the provided information, especially in cases of poor annotation, or an evaluation of available predictions. Moreover, desired information can be output in high quality JPEG image files for further elaboration and scientific use. GeneViTo has already been applied to visualize the genomes of two microbial organisms: the bacterion Chlamydia trachomatis and the archaeon Methanococcus jannaschii. The application is compatible with Linux or Windows ME-2000-XP operating systems, provided that the appropriate Java Runtime Environment (Java 1.4.1) is already installed in the system. | java, genome-wide analysis, genome, visualization, gene, function, structure, dna, protein sequence, genomic, proteomic | has parent organization: University of Athens Biophysics and Bioinformatics Laboratory | PMID:14594459 | Free for academic use, Acknowledgement requested | nlx_151776 | SCR_006211 | GeneVito: Genome Visualization Tool, GeneViTo (Genome Visualization Tool), Genome Visualization Tool | 2026-09-03 04:48:20 | 0 | ||||||
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BioMedBridges Resource Report Resource Website 1+ mentions |
BioMedBridges (RRID:SCR_006179) | BioMedBridges | consortium, data or information resource, organization portal, portal | Consortium of 12 Biomedical sciences research infrastructure (BMS RI) partners to develop a shared e-infrastructure to allow interoperability between data and services in the biological, medical, translational and clinical domains (providing a complex knowledge environment comprising standards, ontologies, data and services) and thus strengthen biomedical resources in Europe. The BMS RIs are on the roadmap of the European Strategy Forum on Research Infrastructures (ESFRI). Connecting several European research infrastructures brings a diversity of ethical, legal and security concerns including data security requirements for participating e-Infrastructures that are storing or processing patient-related data (or biosamples): EATRIS, ECRIN, BBMRI, EuroBioImaging and EMBL-EBI. In addition, INSTRUCT is interested in secure sample transport and in intellectual property rights; Infrafrontier stores high-throughput data from mice. BBMRI with its focus on the availability of biomaterials is currently emphasizing aspects like k-anonymity and metadata management for its data. Sharing of imaging data by Euro-BioImaging poses challenges with respect to anonymisation and intellectual property. Therefore, an ethical, regulatory and security framework for international data sharing that covers these diverse areas and different types of data (e.g. clinical trials data, mouse data, and human genotype and DNA sequence data) is of crucial importance. The outcomes will lead to real and sustained improvement in the services the biomedical sciences research infrastructures offer to the research community. Data curation and sample description will be improved by the adoption of best practices and agreed standards. Many improvements will emerge from new interactions between RIs created by data linkage and networking. Ensuring access to relevant information for all life science researchers across all BMS RIs will enable scientists to conduct and share cutting-edge research. | clinical, biomedical, infrastructure, technology, biology, medicine, translational, data sharing, biobank, genetic, stem cell, clinical trial, imaging, genotype, dna sequence, standard specification, interoperability |
is listed by: Consortia-pedia is related to: Biobanking and Biomolecular Resources Research Infrastructure (BBMRI) has parent organization: European Bioinformatics Institute |
European Union FP7 Capacities Specific Programme 284209 | nlx_151726 | SCR_006179 | Building data bridges between biological and medical infrastructure in Europe (BioMedBridges), Building data bridges between biological and medical infrastructures in Europe, Building data bridges from biology to medicine in Europe | 2026-09-03 04:48:21 | 7 | |||||||
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deepSNV Resource Report Resource Website 10+ mentions |
deepSNV (RRID:SCR_006214) | deepSNV | software resource | Software package that provides quantitative variant callers for detecting subclonal mutations in ultra-deep (>=100x coverage) sequencing experiments. The algorithm is used for a comparative setup with a control experiment of the same loci and uses a beta-binomial model and a likelihood ratio test to discriminate sequencing errors and subclonal SNVs (single nucleotide variants). | data import, genetic variability, genetics, snp, sequencing, single nucleotide variant, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Bioconductor |
PMID:24443148 | GNU General Public License, v3 | OMICS_02239, biotools:deepsnv | https://bio.tools/deepsnv | SCR_006214 | deepSNV - Detection of subclonal SNVs in deep sequencing experiments | 2026-09-03 04:48:22 | 34 | |||||
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Mammalian Adult Neurogenesis Gene Ontology Resource Report Resource Website 50+ mentions |
Mammalian Adult Neurogenesis Gene Ontology (RRID:SCR_006176) | MANGO | controlled vocabulary, data or information resource, database, ontology | Database of genes concerning adult neurogenesis mapped to cell types and processes that have been curated from the literature. In its present state, the database is restricted to neurogenesis in the hippocampus. | adult neurogenesis, adult, neurogenesis, hippocampus, gene, annotation, cell type, process, FASEB list | has parent organization: Dresden University of Technology; Saxony; Germany | nlx_151684 | SCR_006176 | 2026-09-03 04:48:29 | 64 | |||||||||
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IRIS DMC FDSNWS station Web Service Resource Report Resource Website |
IRIS DMC FDSNWS station Web Service (RRID:SCR_006177) | FDSNWS Station, fdsnws-station, FDSNWS: station | data access protocol, software resource, web service | Web service that returns International Federation of Digital Seismograph Networks (FDSN) station metadata in FDSN StationXML format or as delimited text. Results are available at multiple levels of granularity: network, station, channel and response. Metadata may be selected based on channel descriptors, time ranges, geographic regions, and more. This service is an implementation of the FDSN web service specification version 1. | seismology, fdnws, station, metadata, time series, seed, wadl |
is listed by: CINERGI has parent organization: IRIS DMC Web Services |
SciRes_000179 | SCR_006177 | International Federation of Digital Seismograph Networks Web Service Station, IRIS FDSNWS Station, FDSNWS Station Web service, International Federation of Digital Seismograph Networks (FDSN) Web Service Station | 2026-09-03 04:48:34 | 0 | ||||||||
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Deciphering Developmental Disorders Resource Report Resource Website 10+ mentions |
Deciphering Developmental Disorders (RRID:SCR_006171) | DDD | biospecimen repository, data or information resource, disease-related portal, material storage repository, portal, research forum portal, service resource, storage service resource, topical portal | The Deciphering Developmental Disorders (DDD) study aims to find out if using new genetic technologies can help doctors understand why patients get developmental disorders. To do this we have brought together doctors in the 23 NHS Regional Genetics Services throughout the UK and scientists at the Wellcome Trust Sanger Institute, a charitably funded research institute which played a world-leading role in sequencing (reading) the human genome. The DDD study involves experts in clinical, molecular and statistical genetics, as well as ethics and social science. It has a Scientific Advisory Board consisting of scientists, doctors, a lawyer and patient representative, and has received National ethical approval in the UK. Over the next few years, we are aiming to collect DNA and clinical information from 12,000 undiagnosed children in the UK with developmental disorders and their parents. The results of the DDD study will provide a unique, online catalogue of genetic changes linked to clinical features that will enable clinicians to diagnose developmental disorders. Furthermore, the study will enable the design of more efficient and cheaper diagnostic assays for relevant genetic testing to be offered to all such patients in the UK and so transform clinical practice for children with developmental disorders. Over time, the work will also improve understanding of how genetic changes cause developmental disorders and why the severity of the disease varies in individuals. The Sanger Institute will contribute to the DDD study by performing genetic analysis of DNA samples from patients with developmental disorders, and their parents, recruited into the study through the Regional Genetics Services. Using microarray technology and the latest DNA sequencing methods, research teams will probe genetic information to identify mutations (DNA errors or rearrangements) and establish if these mutations play a role in the developmental disorders observed in patients. The DDD initiative grew out of the groundbreaking DECIPHER database, a global partnership of clinical genetics centres set up in 2004, which allows researchers and clinicians to share clinical and genomic data from patients worldwide. The DDD study aims to transform the power of DECIPHER as a diagnostic tool for use by clinicians. As well as improving patient care, the DDD team will empower researchers in the field by making the data generated securely available to other research teams around the world. By assembling a solid resource of high-quality, high-resolution and consistent genomic data, the leaders of the DDD study hope to extend the reach of DECIPHER across a broader spectrum of disorders than is currently possible. | microarray, sequencing, child, genome, chromosome, dna sequencing, ethics, interview, dna, saliva, clinical, genetics, gene, diagnosis, phenotype, clinical data, FASEB list |
is related to: DECIPHER has parent organization: Wellcome Trust Sanger Institute; Hinxton; United Kingdom |
Developmental disorder, Genetic disorder, Parent, Neurodevelopmental disorder, Congenital anomaly, Abnormal growth, Dysmorphic feature, Unusual behavioral phenotype | Wellcome Trust ; Health Innovation Challenge Fund |
PMID:21679367 | nlx_151673 | SCR_006171 | Deciphering Developmental Disorders (DDD) | 2026-09-03 04:48:27 | 42 | |||||
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VizHub Resource Report Resource Website 1+ mentions |
VizHub (RRID:SCR_006209) | VizHub | analysis service resource, data analysis service, data or information resource, portal, production service resource, service resource | A visualization hub displaying sequencing data from the Roadmap Epigenomics project. It hosts high volume of tracks from ENCODE and Roadmap Epigenomics projects, supports multiple organisms, visualizes chromatin-interaction data (e.g. Hi-C), performs gene set view, gene plot, and many others. All delivered on the web at high performance. | epigenomics, neandertal, genome, visualization, browser, sequencing |
uses: UCSC Genome Browser uses: Roadmap Epigenomics Project uses: ENCODE is related to: WashU Epigenome Browser has parent organization: Washington University School of Medicine in St. Louis; Missouri; USA has parent organization: Roadmap Epigenomics Project |
nlx_151756 | SCR_006209 | Roadmap Epigenomics Visualization Hub, Visualization Hub | 2026-09-03 04:48:51 | 6 | ||||||||
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PHYLIP Resource Report Resource Website 1000+ mentions |
PHYLIP (RRID:SCR_006244) | PHYLIP | data processing software, software application, software resource, source code | A free package of software programs for inferring phylogenies (evolutionary trees). The source code is distributed (in C), and executables are also distributed. In particular, already-compiled executables are available for Windows (95/98/NT/2000/me/xp/Vista), Mac OS X, and Linux systems. Older executables are also available for Mac OS 8 or 9 systems. | phylogeny prediction, evolutionary tree, bio.tools |
is listed by: bio.tools is listed by: Debian is listed by: OMICtools is listed by: SoftCite has parent organization: University of Washington; Seattle; USA works with: PAML |
NSF ; NIGMS ; DOE |
Free | nif-0000-06708, OMICS_04240, biotools:phylip | https://bio.tools/phylip, https://sources.debian.org/src/phylip/ | SCR_006244 | PHYLogeny Inference Package | 2026-09-03 04:48:29 | 3544 | |||||
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Semantic MediaWiki Resource Report Resource Website 1+ mentions |
Semantic MediaWiki (RRID:SCR_006246) | SMW | software resource | A free, open-source extension to MediaWiki - the wiki software that powers Wikipedia - that helps to search, organize, tag, browse, evaluate, and share the wiki''s content. While traditional wikis contain only text which computers can neither understand nor evaluate, SMW adds semantic annotations that allow a wiki to function as a collaborative database. Semantic MediaWiki introduces some additional markup into the wiki-text which allows users to add semantic annotations to the wiki. While this first appears to make things more complex, it can also greatly simplify the structure of the wiki, help users to find more information in less time, and improve the overall quality and consistency of the wiki. A large number of related extensions have been created that extend the ability to edit, display and browse through the data stored by SMW: the term Semantic MediaWiki is sometimes used to refer to this entire family of extensions. | extension, wiki, semantic annotation, authoring tool |
is listed by: FORCE11 has parent organization: MediaWiki |
European Union | Open unspecified license | nif-0000-06677 | SCR_006246 | Semantic Media Wiki | 2026-09-03 04:48:21 | 3 | ||||||
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Human Imaging Database Resource Report Resource Website 1+ mentions |
Human Imaging Database (RRID:SCR_006126) | HID | data management software, data or information resource, data repository, database, image repository, service resource, software application, software resource, source code, storage service resource |
THIS RESOURCE IS NO LONGER IN SERVICE. Documented October 5, 2017. Database management system developed to handle the increasingly large and diverse datasets collected as part of the MBIRN and FBIRN collaboratories and throughout clinical imaging communities at large. The HID can be extended to contain relevant information concerning experimental subjects, assessments of subjects, the experimental data collected, the experimental protocols, and other metadata normally included with experiments. |
imaging, fmri, clinical, behavior, biomedical imaging data, mri |
is listed by: NeuroImaging Tools and Resources Collaboratory (NITRC) is related to: Cognitive Paradigm Ontology is related to: XCEDE Schema has parent organization: Biomedical Informatics Research Network |
Schizophrenia | PMID:19826494 PMID:18348946 |
THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-00269 | http://www.nitrc.org/projects/hid | http://fbirnbdr.nbirn.net:8080/BDR/ | SCR_006126 | fBIRN Data Repository, Human Imaging Database (HID) System, Function BIRN Data Repository | 2026-09-03 04:48:48 | 3 | |||
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pepStat Resource Report Resource Website 1+ mentions |
pepStat (RRID:SCR_006240) | software resource | Software for statistical analysis of peptide microarrays. It uses an integrated analytical method for analyzing peptide microarray antibody binding data, from normalization through subject-specific positivity calls and data integration and visualization. | standalone software | is listed by: OMICtools | PMID:23770318 | OMICS_04027 | SCR_006240 | 2026-09-03 04:48:22 | 8 | |||||||||
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ScerTF Resource Report Resource Website 10+ mentions |
ScerTF (RRID:SCR_006121) | ScerTF | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | Catalog of over 1,200 position weight matrices (PWMs) for 196 different yeast transcription factors (TFs). They've curated 11 literature sources, benchmarked the published position-specific scoring matrices against in-vivo TF occupancy data and TF deletion experiments, and combined the most accurate models to produce a single collection of the best performing weight matrices for Saccharomyces cerevisiae. ScerTF is useful for a wide range of problems, such as linking regulatory sites with transcription factors, identifying a transcription factor based on a user-input matrix, finding the genes bound/regulated by a particular TF, and finding regulatory interactions between transcription factors. Enter a TF name to find the recommended matrix for a particular TF, or enter a nucleotide sequence to identify all TFs that could bind a particular region. | binding site, transcription factor, regulatory site, gene, regulation, regulatory interaction, matrix, nucleotide sequence, dna sequence, yeast, position weight matrix, bio.tools |
is listed by: OMICtools is listed by: Debian is listed by: bio.tools has parent organization: Washington University School of Medicine in St. Louis; Missouri; USA |
NIGMS R01 GM078222; NHGRI HG00249 |
PMID:22140105 | biotools:scertf, nlx_151599, OMICS_00542 | http://ural.wustl.edu/ScerTF, https://bio.tools/scertf | http://ural.wustl.edu/TFDB/ | SCR_006121 | 2026-09-03 04:48:27 | 19 | |||||
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MIALAB - Medical Image Analysis Lab Resource Report Resource Website 10+ mentions |
MIALAB - Medical Image Analysis Lab (RRID:SCR_006089) | MIALAB | data or information resource, laboratory portal, organization portal, portal | MIALAB, headed by Dr. Vince Calhoun, focuses on developing and optimizing methods and software for quantitative analysis of structure and function in medical images with particular focus on the study of psychiatric illness. We work with many types of data, including functional magnetic resonance imaging (fMRI), diffusion tensor imaging (DTI), electroencephalography (EEG), structural imaging and genetic data. Much of our time is spent working on new methods for flexible analysis of brain imaging data. The use of data driven approaches is very useful for extracting potentially unpredictable patterns within these data. However such methods can be further improved by incorporating additional prior information as constraints, in order to benefit from what we know. To this end, we draw heavily from the areas of image processing, adaptive signal processing, estimation theory, neural networks, statistical signal processing, and pattern recognition. | software, data, data visualization, medical image, image, neuroimaging, fmri, diffusion tensor imaging, electroencephalography, structural imaging, genetic data, brain, image processing, adaptive signal processing, estimation theory, neural network, statistical signal processing, pattern recognition, mri |
has parent organization: Mind Research Network is parent organization of: Group ICA of fMRI Toolbox is parent organization of: Group ICA Of EEG Toolbox is parent organization of: MIALAB - Resting State Data |
Mental disease | nlx_151551 | SCR_006089 | Medical Image Analysis Lab, Medical Image Analysis Laboratory, MIA Laboratory, Medical Image Analysis (MIA) Laboratory | 2026-09-03 04:48:24 | 27 | |||||||
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SitEx Resource Report Resource Website 1+ mentions |
SitEx (RRID:SCR_006122) | SitEx | analysis service resource, data analysis service, data or information resource, database, production service resource, service resource | THIS RESOURCE IS NO LONGER IN SERVICE. Documented on August 19,2019. Analyzing protein structure projection on exon-intron structure of corresponding gene through years led to several fundamental conclusions about structural and functional organization of the protein. According to these results we decided to map the protein functional sites. So we created the database SitEx that keep the information about this mapping and included the BLAST search and 3D similar structure search using PDB3DScan for the polypeptide encoded by one exon, participating in organizing the functional site. This will help: # to study the positions of the functional sites in exon structure; # to make the complex analysis of the protein function; # to exposure the exons that took part in exon shuffling and came from bacterial genomes; # to study the peculiarities of coding the polypeptide structures. Currently, SitEx contains information about 9994 functional sites presented in 2021 proteins described in proteomes of 17 organisms. | projection, protein, functional site, exon, blast, structure, function, gene, amino acid, encoding gene, proteome, ligand, data set, bio.tools |
is listed by: 3DVC is listed by: Debian is listed by: bio.tools has parent organization: Institute of Cytology and Genetics of the Siberian Branch of the RAS; Novosibirsk; Russia |
Ministry of Science and Education 14.740.11.0001; Ministry of Science and Education 07.514.11.4003; Interdisciplinary Integrative Project 35 of SB RAS ; Russian Foundation for Basic Research 11-04-92712; EU-FP7 260429; Program of RAS ; DAAD Leonard Euler Program Grant |
PMID:22139920 | THIS RESOURCE IS NO LONGER IN SERVICE. | biotools:sitex, nlx_151602 | https://bio.tools/sitex | SCR_006122 | SitEx Database | 2026-09-03 04:48:32 | 1 | ||||
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PSCDB - Protein Structural Change DataBase Resource Report Resource Website |
PSCDB - Protein Structural Change DataBase (RRID:SCR_006116) | PSCDB | data or information resource, database, image collection | Database for protein structural change upon ligand binding that are classified into 7 classes in terms of the ligand binding sites and the location where the dominant motion occurs. # Coupled Domain motions are the domain motions induced upon ligand binding. # Independent Domain motions are the observable domain motions regardless of ligand binding. # Coupled Local motions are the local motions induced upon ligand binding. # Independent Local motions are the observable local motions regardless of ligand binding. # Burying ligand motions are imaginable motions required to hold ligand protein-inside. # No significant motions mean just nothing happen. # Other motions are motions unclassified into domain and local motions. Proteins are flexible molecules that undergo structural changes to function. The Protein Data Bank contains multiple entries for identical proteins determined under different conditions, e.g. with and without a ligand molecule, which provides important information for understanding the structural changes related to protein functions. We gathered 839 protein structural pairs of ligand-free and ligand-bound states from monomeric or homo-dimeric proteins, and constructed the Protein Structural Change DataBase (PSCDB). In the database, we focused on whether the motions were coupled with ligand binding. As a result, the protein structural changes were classified into seven classes, i.e. coupled domain motion (59 structural changes), independent domain motion (70), coupled local motion (125), independent local motion (135), burying ligand motion (104), no significant motion (311) and other type motion (35). PSCDB provides lists of each class. On each entry page, users can view detailed information about the motion, accompanied by a morphing animation of the structural changes. | protein, structure, ligand binding, ligand-free, ligand-bound, monomeric protein, homo-dimeric protein, animation, ligand, structural change | has parent organization: Nagoya University; Nagoya; Japan | Japanese Ministry of Education Culture Sports Science and Technology MEXT 20370063; Japanese Ministry of Education Culture Sports Science and Technology MEXT 21107523 |
PMID:22080505 PMID:21376729 |
nlx_151591 | SCR_006116 | Protein Structural Change DataBase (PSCDB), Protein Structural Change DataBase | 2026-09-03 04:48:17 | 0 | ||||||
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Regulation of Transcription Ontology Resource Report Resource Website |
Regulation of Transcription Ontology (RRID:SCR_006238) | RETO | controlled vocabulary, data or information resource, ontology | An application ontology for the domain of gene transcription regulation. The ontology integrates fragments of GO and MI with data from GOA, IntAct, UniProt, NCBI, KEGG and orthology relations. | obo | is listed by: BioPortal | nlx_157573 | SCR_006238 | 2026-09-03 04:48:35 | 0 | |||||||||
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Proteome Commons Resource Report Resource Website 10+ mentions |
Proteome Commons (RRID:SCR_006234) | Proteome Commons | community building portal, data or information resource, data repository, database, portal, service resource, software resource, storage service resource | THIS RESOURCE IS NO LONGER IN SERVICE, documented on July 17, 2013. A public resource for sharing general proteomics information including data (Tranche repository), tools, and news. Joining or creating a group/project provides tools and standards for collaboration, project management, data annotation, permissions, permanent storage, and publication. | proteomics, protein, peptide, data sharing, data, tool, news, annotation, proteome, genome |
is listed by: re3data.org has parent organization: University of Michigan; Ann Arbor; USA is parent organization of: Proteome Commons Tranche repository |
NCI ; Clinical Proteomics Technologies for Cancer ; NCRR P41-RR018627 |
PMID:20356086 | THIS RESOURCE IS NO LONGER IN SERVICE | nlx_151800 | SCR_006234 | ProteomeCommons.org, ProteomeCommons | 2026-09-03 04:48:20 | 12 |
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