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| Resource Name | Proper Citation | Abbreviations | Resource Type |
Description |
Keywords | Resource Relationships | |||||||||||||
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SnapTools Resource Report Resource Website 10+ mentions |
SnapTools (RRID:SCR_018097) | SnapTools | alignment software, software application, data processing software, image analysis software, software resource | Software tool as module for working with snap files in Python. Snap files are designed for storing single nucleus ATAC-seq datasets. | Sequence, snap file, single nucleus, ATACseq dataset, data | is used by: scATAC Pipeline | Free, Available for download, Freely available | SCR_018097 | Single Nucleus Accessibility Profile Tools, Single nucleus accessibility profile Tools | 2026-08-03 09:36:51 | 14 | ||||||||
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Composition Profiler Resource Report Resource Website 10+ mentions |
Composition Profiler (RRID:SCR_014630) | software resource, web application | Web tool for discovery and visualization of differences in amino acid composition. Two samples of amino acid sequences serve as input and a bar chart composed of twenty data points is output. | web tool, web application, amino acid, amino acid composition, sequence, bar chart, bio.tools |
is listed by: Debian is listed by: bio.tools |
PMID:17578581 | Source code available, Acknowledgement requested | biotools:composition_profiler | https://bio.tools/composition_profiler | SCR_014630 | 2026-08-03 09:35:33 | 32 | |||||||
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TMHMM Server Resource Report Resource Website 1000+ mentions |
TMHMM Server (RRID:SCR_014935) | software resource, web application | Web application for the prediction of transmembrane helices in proteins using Hidden Markov Models. FASTA formatted sequences can be uploaded via file or copy-paste, and output can be formatted as extensive with graphics, extensive without graphics, or one line per protein. Submissions are limited to 10,000 sequences and 4,000,000 amino acids - each sequence is limited to no more than 8,000 amino acids. | sequence, amino acid, web application, transmembrane helices, hidden markov model, fasta | Open source | SCR_014935 | TMHMM Server v 2.0 | 2026-08-03 09:35:56 | 1872 | ||||||||||
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ProP Server Resource Report Resource Website 50+ mentions |
ProP Server (RRID:SCR_014936) | software resource, web application | Web application which predicts arginine and lysine propeptide cleavage sites in eukaryotic protein sequences using an ensemble of neural networks. Furin-specific prediction is the default. It is also possible to perform a general proprotein convertase prediction. | web application, prediction, arginine, lysine, cleavage, propeptide, eukaryotic, protein, sequence, bio.tools |
is listed by: Debian is listed by: bio.tools |
DOI:10.1093/protein/gzh013 | Open source | biotools:prop, BioTools:prop | https://bio.tools/prop, https://bio.tools/prop, https://bio.tools/prop | SCR_014936 | ProP, ProP 1.0 Server, ProP 1.0 | 2026-08-03 09:35:56 | 75 | ||||||
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STRING Resource Report Resource Website 10000+ mentions |
STRING (RRID:SCR_005223) | STRING | data or information resource, database | Database of known and predicted protein interactions. The interactions include direct (physical) and indirect (functional) associations and are derived from four sources: Genomic Context, High-throughput experiments, (Conserved) Coexpression, and previous knowledge. STRING quantitatively integrates interaction data from these sources for a large number of organisms, and transfers information between these organisms where applicable. The database currently covers 5''214''234 proteins from 1133 organisms. (2013) | protein association, protein functional association, protein interaction, protein-protein interaction, protein, sequence, protein sequence, interaction, gene, FASEB list |
is used by: MobiDB is used by: PAXdb is listed by: Nuclear Receptor Signaling Atlas is listed by: NIDDK Information Network (dkNET) is related to: Biomine is related to: PSICQUIC Registry is related to: ShinyGO has parent organization: European Molecular Biology Laboratory has plug in: Cytoscape StringApp |
BMBF ; European Union FP6 ; EMBO ; ProBioC ; Swiss Institute of Bioinformatics |
PMID:23203871 PMID:21045058 PMID:18940858 PMID:17098935 PMID:15608232 PMID:12519996 |
nif-0000-03503, r3d100010604 | https://doi.org/10.17616/R3VS40 | SCR_005223 | Search Tool for the Retrieval of Interacting Genes/Proteins, STRING - Known and Predicted Protein-Protein Interactions | 2026-08-03 09:32:48 | 29246 | |||||
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MIPModDB Resource Report Resource Website 1+ mentions |
MIPModDB (RRID:SCR_006058) | MIPModDB | data or information resource, database | This is a database of comparative protein structure models of MIP (Major Intrinsic Protein) family of proteins. The nearly completed sets of MIPs have been identified from the completed genome sequence of organisms available at NCBI. The structural models of MIP proteins were created by defined protocol. The database aims to provide key information of MIPs in particular based on sequence as well as structures. This will further help to decipher the function of uncharacterized MIPs. For each MIP entry, this database contains information about the source, gene structure, sequence features, substitutions in the conserved NPA motifs, structural model, the residues forming the selectivity filter and channel radius profile. For selected set of MIPs, it is possible to derive structure-based sequence alignment and evolutionary relationship. Sequences and structures of selected MIPs can be downloaded from MIPModDB database. | major intrinsic protein, model, protein structure, structural model, sequence, structure, superfamily, genome sequence, amino acid sequence, motif, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: Indian Institute of Technology Kanpur; Uttar Pradesh; India |
Government of India | PMID:22080560 | Free | nlx_151460, biotools:mipmoddb | https://bio.tools/mipmoddb | SCR_006058 | Major Intrinsic Protein superfamily Models, MIPModDB - Major Intrinsic Protein superfamily Models | 2026-08-03 09:32:52 | 6 | ||||
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ProRepeat Resource Report Resource Website 1+ mentions |
ProRepeat (RRID:SCR_006113) | ProRepeat | data or information resource, database | ProRepeat is an integrated curated repository and analysis platform for in-depth research on the biological characteristics of amino acid tandem repeats. ProRepeat collects repeats from all proteins included in the UniProt knowledgebase, together with 85 completely sequenced eukaryotic proteomes contained within the RefSeq collection. It contains non-redundant perfect tandem repeats, approximate tandem repeats and simple, low-complexity sequences, covering the majority of the amino acid tandem repeat patterns found in proteins. The ProRepeat web interface allows querying the repeat database using repeat characteristics like repeat unit and length, number of repetitions of the repeat unit and position of the repeat in the protein. Users can also search for repeats by the characteristics of repeat containing proteins, such as entry ID, protein description, sequence length, gene name and taxon. ProRepeat offers powerful analysis tools for finding biological interesting properties of repeats, such as the strong position bias of leucine repeats in the N-terminus of eukaryotic protein sequences, the differences of repeat abundance among proteomes, the functional classification of repeat containing proteins and GC content constrains of repeats' corresponding codons. | amino acid, tandem, repeat, protein, sequence, nucleotide sequence, repeat fragment, protein repeat, proteome, sequence length, gene, taxon, bio.tools |
is listed by: Debian is listed by: bio.tools is related to: UniProtKB is related to: RefSeq has parent organization: Wageningen University and Research Centre; Gelderland; Netherlands |
PMID:22102581 | nlx_151587, biotools:prorepeat | https://bio.tools/prorepeat | SCR_006113 | 2026-08-03 09:32:53 | 1 | |||||||
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ProOpDB Resource Report Resource Website 10+ mentions |
ProOpDB (RRID:SCR_006111) | ProOpDB | data or information resource, database | The Prokaryotic Operon DataBase (ProOpDB) constitutes one of the most precise and complete repository of operon predictions in our days. Using our novel and highly accurate operon algorithm, we have predicted the operon structures of more than 1,200 prokaryotic genomes. ProOpDB offers diverse alternatives by which a set of operon predictions can be retrieved including: i) organism name, ii) metabolic pathways, as defined by the KEGG database, iii) gene orthology, as defined by the COG database, iv) conserved protein motifs, as defined by the Pfam database, v) reference gene, vi) reference operon, among others. In order to limit the operon output to non-redundant organisms, ProOpDB offers an efficient protocol to select the more representative organisms based on a precompiled phylogenetic distances matrix. In addition, the ProOpDB operon predictions are used directly as the input data of our Gene Context Tool (GeConT) to visualize their genomic context and retrieve the sequence of their corresponding 5�� regulatory regions, as well as the nucleotide or amino acid sequences of their genes. The prediction algorithm The algorithm is a multilayer perceptron neural network (MLP) classifier, that used as input the intergenic distances of contiguous genes and the functional relationship scores of the STRING database between the different groups of orthologous proteins, as defined in the COG database. Nevertheless, the operon prediction of our method is not restricted to only those genes with a COG assignation, since we successfully defined new groups of orthologous genes and obtained, by extrapolation, a set of equivalent STRING-like scores based on conserved gene pairs on different genomes. Since the STRING functional relationships scores are determined in an un-bias manner and efficiently integrates a large amount of information coming from different sources and kind of evidences, the prediction made by our MLP are considerably less influenced by the bias imposed in the training procedure using one specific organism. | genome, operon, gene pair, gene, operon prediction, metabolic pathway, gene orthology, conserved protein motif, protein motif, reference gene, reference operon, visualization, regulatory region, nucleotide, amino acid, sequence, phylogeny, FASEB list |
is related to: COG is related to: KEGG is related to: Pfam has parent organization: National Autonomous University of Mexico; Mexico City; Mexico |
CONACyT 60127-Q; CONACyT SALUD-2007-C01-68992; DGAPA IN212708 |
PMID:20385580 | nlx_151585 | SCR_006111 | Prokaryotic Operon DataBase (ProOpDB), Prokaryotic Operon DataBase | 2026-08-03 09:33:01 | 35 | ||||||
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PRED-CLASS Resource Report Resource Website |
PRED-CLASS (RRID:SCR_006216) | PRED-CLASS | data analysis service, service resource, analysis service resource, production service resource | A system of cascading neural networks that classifies any protein, given its amino acid sequence alone, into one of four possible classes: membrane, globular, fibrous, mixed. | classification, protein, fibrous, globular, protein class, membrane, sequence, algorithm, protein classification, neural network, transmembrane, genome annotation, genome-wide analysis |
is related to: DAM-Bio has parent organization: University of Athens Biophysics and Bioinformatics Laboratory |
European Union ERBFMRXCT960019 | PMID:11455609 | nlx_151762 | SCR_006216 | PRED-CLASS - Classification of proteins into one of four possible classes | 2026-08-03 09:33:01 | 0 | ||||||
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SILVA Resource Report Resource Website 10000+ mentions |
SILVA (RRID:SCR_006423) | data or information resource, database | High quality ribosomal RNA databases providing comprehensive, quality checked and regularly updated datasets of aligned small (16S/18S, SSU) and large subunit (23S/28S, LSU) ribosomal RNA (rRNA) sequences for all three domains of life (Bacteria, Archaea and Eukarya). Supplementary services include a rRNA gene aligner, online tools for probe and primer evaluation and optimized browsing, searching and downloading on the website. The extensively curated SILVA taxonomy and the new non-redundant SILVA datasets provide an ideal reference for high-throughput classification of data from next-generation sequencing approaches. Alignment tool, SINA, is available for download as well as available for use online. | ribosomal rna, gene sequence, gene, sequence, alignment, taxonomy, 16s, 18s, 23s, 28s, phylogeny, probe, primer, alignment service, fish, arb, ribocon, geoblast, bio.tools |
is listed by: OMICtools is listed by: bio.tools is listed by: Debian is affiliated with: RNAcentral is related to: ARB project is related to: SINA is related to: European ribosomal RNA database has parent organization: German Collection of Microorganisms and Cell Cultures |
German Collection of Microorganisms and Cell Cultures | PMID:23193283 PMID:24293649 PMID:17947321 |
biotools:silva, OMICS_01514, nif-0000-03464, r3d100011323, rid_000103 | https://bio.tools/silva, https://doi.org/10.17616/R3FP60 | SCR_006423 | SILVA rRNA database, SILVA - high quality ribosomal RNA databases | 2026-08-03 09:33:01 | 13429 | ||||||
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ViralZone Resource Report Resource Website 100+ mentions |
ViralZone (RRID:SCR_006563) | ViralZone | data or information resource, database | ViralZone is a SIB Swiss Institute of Bioinformatics web-resource for all viral genus and families, providing general molecular and epidemiological information, along with virion and genome figures. Each virus or family page gives an easy access to UniProtKB/Swiss-Prot viral protein entries. ViralZone project is handled by the virus program of SwissProt group. Proteins popups were developed in collaboration with Prof. Christian von Mering and Andrea Franceschini, Bioinformatics Group , Institute of Molecular Life Sciences, University of Zurich, Winterthurerstrasse 190, CH-8057 Zurich, Switzerland, funded in part by the SIB Swiss Institute of bioinformatics. All pictures in ViralZone are copyright of the SIB Swiss Institute of Bioinformatics. | dna virus, rna virus, virus, dna, rna, genomic, proteomic, sequence, reference strain, image, virion, retro-transcribing virus, genome, bibliographic, bio.tools |
is listed by: Debian is listed by: bio.tools has parent organization: SIB Swiss Institute of Bioinformatics |
Swiss Institute of Bioinformatics | PMID:20947564 | biotools:viralzone, r3d100013314, nlx_144372 | https://bio.tools/viralzone, https://doi.org/10.17616/R31NJMRM | http://www.expasy.org/viralzone/ | SCR_006563 | Viral Zone | 2026-08-03 09:33:04 | 128 | ||||
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Yeast Intron Database Resource Report Resource Website 1+ mentions |
Yeast Intron Database (RRID:SCR_007144) | Yeast Intron Database | data or information resource, database | Database of information about the spliceosomal introns of the yeast Saccharomyces cerevisiae. Listed are known spliceosomal introns in the yeast genome and the splice sites actually used are documented. Through the use of microarrays designed to monitor splicing, they are beginning to identify and analyze splice site context in terms of the nature and activities of the trans-acting factors that mediate splice site recognition. In version 3.0, expression data that relates to the efficiency of splicing relative to other processes in strains of yeast lacking nonessential splicing factors is included. These data are displayed on each intron page for browsing and can be downloaded for other types of analysis. | intron, spliceosomal, splicing, genome, intron splice signal, sequence, splice site |
is listed by: OMICtools has parent organization: University of California at Santa Cruz; California; USA |
W. M. Keck Foundation ; Packard Foundation ; NIH |
PMID:11988574 | The community can contribute to this resource | nif-0000-03649, OMICS_01890 | http://www.cse.ucsc.edu/research/compbio/yeast_introns.html | SCR_007144 | Ares lab Yeast Intron Database | 2026-08-03 09:33:16 | 2 | ||||
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ProbeExplorer Resource Report Resource Website |
ProbeExplorer (RRID:SCR_007116) | ProbeExplorer | data analysis service, service resource, analysis service resource, production service resource | Probe Explorer is an open access web-based bioinformatics application designed to show the association between microarray oligonucleotide probes and transcripts in the genomic context, but flexible enough to serve as a simplified genome and transcriptome browser. Coordinates and sequences of the genomic entities (loci, exons, transcripts), including vector graphics outputs, are provided for fifteen metazoa organisms and two yeasts. Alignment tools are used to built the associations between Affymetrix microarrays probe sequences and the transcriptomes (for human, mouse, rat and yeasts). Search by keywords is available and user searches and alignments on the genomes can also be done using any DNA or protein sequence query. Platform: Online tool | bioinformatics, microarray, oligonucleotide probe, transcript, genomic, genome, transcriptome, alignment, affymetrix, probe sequence, dna, protein, sequence, statistical analysis |
is listed by: Gene Ontology Tools is related to: Gene Ontology has parent organization: University of Salamanca; Salamanca; Spain |
Open unspecified license - Free for academic use | nlx_149275 | SCR_007116 | Probe Explorer | 2026-08-03 09:33:16 | 0 | |||||||
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Tetraodon nigroviridis Database Resource Report Resource Website |
Tetraodon nigroviridis Database (RRID:SCR_007123) | data or information resource, database | This database have been funded by the National Human Genome Research Institute (NHGRI) to produce shotgun sequence of the Tetraodon nigriviridis genome. The strategy involves Whole Genome Shotgun (WGS) sequencing, in which sequence from the entire genome is generated. Whole genome shotgun libraries were prepared from Tetraodon genomic DNA obtained from the laboratory of Jean Weissenbach at Genoscope. Additional sequence data of approximately 2.5X coverage of Tetraodon has also been generated by Genoscope in plasmid and BAC end reads. Broad and Genoscope intend to pool their data and generate whole genome assemblies. Tetraodon nigroviridis is a freshwater pufferfish of the order Tetraodontiformes and lives in the rivers and estuaries of Indonesia, Malaysia and India. This species is 20-30 million years distant from Fugu rubripes, a marine pufferfish from the same family. The gene repertoire of T. nigroviridis is very similar to that of other vertebrates. However, its relatively small genome of 385 Mb is eight times more compact than that of human, mostly because intergenic and intronic sequences are reduced in size compared to other vertebrate genomes. These genome characteristics along with the large evolutionary distance between bony fish and mammals make Tetraodon a compact vertebrate reference genome - a powerful tool for comparative genetics and for quick and reliable identification of human genes. | estruary, evolutionary, fish, freshwater, fugu rubripes, gene, genetic, bac, bony, distance, dna, genome, genomic, human, intergenic, intronic, nigriviridis, plasmid, pufferfish, river, sequence, sequencing, shotgun, specie, tetraodon, tetraodontiformes, vertebrate | nif-0000-20998 | SCR_007123 | TND | 2026-08-03 09:33:19 | 0 | ||||||||||
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Protein Classification Benchmark Collection Resource Report Resource Website 10+ mentions |
Protein Classification Benchmark Collection (RRID:SCR_007561) | data or information resource, database | It was created in order to create standard datasets on which the performance of machine learning methods can be compared. The collection contains datasets of sequences and structures, each subdivided into positive/negative training/test sets. Such a subdivision is called a classification task. Typical tasks include the classification of structural domains in the SCOP and CATH databases based on their sequences, as fell as various functional and taxonomic classification tasks. Running a performance evaluation test on an entire database can include many different classification tasks. These ensembles of classification tasks are encoded in a simple matrix format - called the cast matrix or membership table - that specifies the role of each sequence (or structure) in the different calculations. Each column of this matrix is a subdivision of the objects (rows) into positive/negative training/test sets. Typically, a database record contains such an ensemble of classification tasks, encoded in a single cast matrix. In addition, there is a collection of distance matrices that contain an all vs. all comparison of the datasets using methods as BLAST, Smith-Waterman, 3D-comparisons etc. Evaluation of a method on a given database consists of calculating a performance measure such as a receiver operating curve (ROC) AUC value. Results of evaluation are deposited along with the data, each dataset is evaluated at least by one classification method, such as 1NN (nearest neighbour) or SVM (support vector machines), ANN (artificial neural networks), RF (random forests) etc.. There are small datasets meant for program developers, as well as downloadable programs for various classification algorithms. | classificaiton, machine learning, sequence, standard, standard dataset, structure, technology | nif-0000-02600 | SCR_007561 | Benchmark | 2026-08-03 09:33:33 | 24 | ||||||||||
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CMKB Resource Report Resource Website 1+ mentions |
CMKB (RRID:SCR_007229) | CMKB | data or information resource, database | It is a database of keys facts about proteins, families, and complexes involved in cell migration. This ongoing project provides a large amount of automated and curated data, collected from numerous online resources that are updated monthly. These data include names, synonyms, sequence information, summaries, CMC research data, reagents, structures, as well as protein family and complex details. CMKB''s ultimate goal is to create a database that will enable the cell migration community to conveniently access significant information about molecules of interest. This will also serve as a stepping stone to pathway analysis and demonstrate how these molecules coordinate with one another during cell adhesion and movement. Sponsors: This resource is supported by the Cell Migration Consortium. | cell, migration, knowledgebase, database, protein, family, data, sequence, synonyms, research, reagent, structure, protein, molecule, interest, pathway, adhesion, movement | nif-0000-30312 | SCR_007229 | Cell Migration Knowledgebase, The Cell Migration Knowledgebase | 2026-08-03 09:33:18 | 1 | |||||||||
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Alternate splicing gallery Resource Report Resource Website 1+ mentions |
Alternate splicing gallery (RRID:SCR_008129) | data or information resource, database | Alternative splicing essentially increases the diversity of the transcriptome and has important implications for physiology, development and the genesis of diseases. This resource uses a different approach to investigate alternative splicing (instead of the conventional case-by case fashion) and integrates all transcripts derived from a gene into a single splicing graph. ASG is a database of splicing graphs for human genes, using transcript information from various major sources (Ensembl, RefSeq, STACK, TIGR and UniGene). Each transcript corresponds to a path in the graph, and alternative splicing is displayed by bifurcations. This representation preserves the relationships between different splicing variants and allows us to investigate systematically all possible putative transcripts. Web interface allows users to display the splicing graphs, to interactively assemble transcripts and to access their sequences as well as neighboring genomic regions. ASG also provide for each gene, an exhaustive pre-computed catalog of putative transcriptsin total more than 1.2 million sequences. It has found that ~65 of the investigated genes show evidence for alternative splicing, and in 5 of the cases, a single gene might produce over 100 transcripts. | gallery, gene, genesis, alternative, development, disease, diversity, genomic, human, physiology, putative transcript, sequence, single, splice, splicing graph, transcript, transcriptome, variant, bio.tools |
is listed by: bio.tools is listed by: Debian |
nif-0000-20932, biotools:alternative_splicing_gallery | https://bio.tools/alternative_splicing_gallery | SCR_008129 | ASG | 2026-08-03 09:33:40 | 1 | ||||||||
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Kinase Pathway Database Resource Report Resource Website 1+ mentions |
Kinase Pathway Database (RRID:SCR_008199) | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, documented August 23, 2016. KinasePathwayDatabase is an integrated database concerning completed sequenced major eukaryotes, which contains the classification of protein kinases and their functional conservation and orthologous tables among species, protein-protein interaction data, domain information, structural information, and automatic pathway graph image interface. The protein-protein interactions are extracted by natural language processing (NLP) from abstracts using basic word pattern and protein name dictionary GENA: developed by our group. In this system, pathways are easily compared among species using protein interactions data more than 47,000 and orthologous tables. | eukaryote, functional, automatic, classification, conservation, domain, interaction, intermolecular interactions and signaling pathways databases, kinase, orthologous, pathway, protein, sequence, specie, structural, image | has parent organization: University of Tokyo; Tokyo; Japan | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-21235 | SCR_008199 | Kinase Pathway Database | 2026-08-03 09:33:58 | 2 | ||||||||
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The Protein Coil Library Resource Report Resource Website 1+ mentions |
The Protein Coil Library (RRID:SCR_008233) | data or information resource, database | The Protein Coil Library is a library of protein structure fragments derived from the Protein Data Bank (PDB). The fragments in this library are those fragments in the PDB that cannot be classified as either alpha-helix or beta-strand. Three-dimensional structures as well as side-chain and backbone torsion angles are stored in the database. The Protein Coil Library allows rapid and comprehensive access to non-alpha-helix and non-beta-strand fragments contained in the Protein Data Bank (PDB). The library contains both sequence and structure information together with calculated torsion angles for both the backbone and side chains. Several search options are implemented, including a query function that uses output from popular PDB-culling servers directly. Additionally, several popular searches are stored and updated for immediate access. The library is a useful tool for exploring conformational propensities, turn motifs, and a recent model of the unfolded state. The library stores the complete torsion angle descriptions for the fragments as well as the three dimensional structures of the fragments themselves. The goal of extracting and pre-calculating this data is to allow for more straightforward investigation of peptide structure without the background of secondary structure elements. In addition to searching by PDB ID, it is possible to download a particular size class, perform a batch search of PDB/chain ID''s, or download precompiled lists of PDB ID''s of interest (PDB Select, etc.). For users interested in browsing the entire database at once or maintaining their own locally-updated copy of the library, FTP access instructions are also provided. The files stored in the coil library FTP site or returned after a batch search are organized heirarchically by PDB ID. This is done to reduce filesystem access times and fascilitate searches using the UNIX find utility. At the lowest directory level in the heirarchy, files are further sorted by fragment length. As a result, the number of files in a particular directory is generally less then 50, yielding relatively fast access on UNIX/Linux filesystems. The heirarchical organization is based on the middle two letters of the PDB ID. For example, hen egg lysozyme, which has a PDB ID of 1HEL, will be located in the directory h/he/. At the final level, fragments of varying sizes are stored in directories that correspond to their fragment length. Again, using lysozyme as an example, any seven-residue fragments, if they exist, will reside in the directory h/he/7/. Similarly, seven-residue fragments from 2HEX and 1HE0 will also be in this location. Sponsors: The Protein Coil Library is funded by Johns Hopkins University. | element, fragment, alpha helix, angle, backbone, beta, coil, lysozyme, peptide, protein, protein structure databases, secondary, sequence, side chain, strand, structure, torsion | has parent organization: Johns Hopkins University; Maryland; USA | nif-0000-21338 | SCR_008233 | The Coil Library | 2026-08-03 09:33:56 | 1 | |||||||||
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Ancient conserved untranslated sequences Resource Report Resource Website |
Ancient conserved untranslated sequences (RRID:SCR_008130) | ACUTS | data or information resource, database | THIS RESOURCE IS NO LONGER IN SERVICE, Documented on August 12, 2014. Database that identifies new regulatory elements in untranslated regions of protein-coding genes (5 prime flanks, 5 prime UTRs, introns, 3 prime UTRs and 3 prime flanks). The analyses is focused on genes from metazoan species (essentially vertebrates, insects and nematodes). Information on highly conserved regions (sequences, alignments, annotations, bibliographic references) are compiled. Currently 176 out of 326 detected highly conserved regions (HCRs) have been analyzed and incorporated in the database. You can also access the list of annotated conserved elements and the list of conserved elements that remain to be processed. Their approach is based on comparative sequence analysis, for the identification of phylogenetic footprints. | echinoderm, footprint, fragment, functional, gene, alignment, analysis, annotation, chordate, cis-element, coding, degradation, divergence, dna, dnase, highly conserved region, homologous, intron, metazoan, mrna, non-coding, nucleotide, phylogenetic, post-transcriptional, promoter, protein, region, regulatory, segment, sequence, structural, transcriptional repressor, translation, untranslated region | has parent organization: Claude Bernard University Lyon 1; Lyon; France | PMID:9204283 | THIS RESOURCE IS NO LONGER IN SERVICE | nif-0000-20934 | SCR_008130 | 2026-08-03 09:33:55 | 0 |
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