Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
SciCrunch Registry is a curated repository of scientific resources, with a focus on biomedical resources, including tools, databases, and core facilities - visit SciCrunch to register your resource.
http://bioinformatics.biol.uoa.gr/hPATM/
A web tool, based on a heuristic transformation of the original global pairwise and local pairwise alignment algorithms, offers objective alignments for transmembrane protein sequences. hPATM takes advantage of the information offered by the knowledge of the position of transmembrane segmets, by experiment or prediction. The heuristic approach may reveal similarities between diverge sequences with low percentages of identity and similarity. The produced alignments, based on common structural scaffolds derived by the transmembrane segments of the sequence, can be used to spot conserved non-transmembrane segments or as a basis for the production of 3-D models via homology modelling. The hPAFAG algorithm is based on the heuristic transformation of the Needleman & Wunsch and Smith & Waterman algorithms, featuring affine gap penalties. The heuristic transformation is based on two extra features: * a heuristic bonus, added to the score when two amino acids that belong to transmembrane segmens are aligned. * a heuristic gap penalty, substracted from the score when a gap is opened in a transmembrane segment. This way transmembrane segments are anchored (not by force, but by more strict alignment) together, allowing the pairwise alignment to focus on non-transmembrane segments. This web server offers a friendly interface for the hPATM command line version. The algorithm was implemented in PERL and the source code of the command line version is available on request by the authors.
Proper citation: hPATM (RRID:SCR_006224) Copy
http://www.ideal.force.cs.is.nagoya-u.ac.jp/IDEAL/
IDEAL, Intrinsically Disordered proteins with Extensive Annotations and Literature, is a collection of knowledge on experimentally verified intrinsically disordered proteins (IDPs) or intrinsically disordered regions (IDRs). IDEAL contains manually curated annotations on IDPs in locations, structures, and functional sites such as protein binding regions and posttranslational modification sites together with references and structural domain assignments. Protean segment One of the unique phenomena seen in IDPs is so-called the coupled folding and binding, where a short flexible segment can bind to its binding partner with forming a specific structure to act as a molecular recognition element. IDEAL explicitly annotates these regions as protean segment (ProS) when unstructured and structured information are both available in the region. Access to the data All the entries are tabulated in the list and individual entries can be retrieved by using the search tool at the upper-right corner in this page. IDEAL also provides the BLAST search, which can find homologs in IDEAL. All the information in IDEAL can be downloaded in the XML file.
Proper citation: IDEAL - Intrinsically Disordered proteins with Extensive Annotations and Literature (RRID:SCR_006027) Copy
http://hdbase.org/cgi-bin/welcome.cgi
A community website for Huntington''s Disease (HD) research that currently contains Y2H and Mass spectrometry protein-protein interaction data centered around the HD protein (huntingtin) and information on therapeutic studies in mouse. Also available are raw Human and Mouse Affymetrix Microarray data. The protein interaction data is from several sources, including interactions curated from the literature by ISB staff, experimentally determined interactions produced by Bob Hughes and colleagues at Prolexys (currently password protected), and interactions reported in a recent publication by Goehler et al from Eric Wanker''s lab. Content areas that may be covered by the site include the following: * Therapeutic studies in mouse, primarily drug screens. * HD mouse models with a focus on timelines of disease progression. * Antibodies used in HD research. * Microarray gene expression studies. * Genes and proteins relevant to HD research. This includes HD itself, the growing list of proteins thought to interact directly or indirectly with huntingtin (Htt), and other genes and proteins implicated in the disease process. * Molecular pathways thought to be involved in the disease process. * Timelines of disease for Mouse models
Proper citation: HDBase (RRID:SCR_007132) Copy
https://imaps.genialis.com/iclip
Web server for analysis of high-resolution sequencing data. It can be used with all variants of CLIP,as well as with methods that interrogate RNA or DNA methylation, RNA processing, RNA structure or protein-DNA interactions.
Proper citation: iMaps (RRID:SCR_016705) Copy
http://cctop.enzim.ttk.mta.hu/
Web application providing transmembrane topology prediction. Server incorporates topology information from existing experimental and computational sources using the probabilistic framework of hidden Markov model. Provides the option to precede the topology prediction with signal peptide prediction and transmembrane globular protein discrimination. Given the amino acid sequence of a putative α helical transmembrane protein, CCTOP predicts its topology i.e. localization of membrane spanning regions and orientation of segments between them.
Proper citation: CCTOP (RRID:SCR_016963) Copy
Program to improve understanding of properties and functions of proteins that are currently unannotated within three most commonly drug protein families: targeted G-protein coupled receptors, ion channels, and protein kinases. Includes Data and Resource Generating Centers (DRGC), Knowledge Management Center (KMC), and Resource Dissemination and Outreach Center (RDOC).
Proper citation: Illuminating the Druggable Genome (RRID:SCR_016924) Copy
Project provides tools and knowledge to maximize the impact of the biological NMR studies. CCPN software facilitates data analysis and software integration. Project promotes the exchange of knowledge and provides training and best practices for the NMR community and has leading role in the development of NMR data sharing standard and coordination of NMR instrumentation proposals. Includes CCPN Data Model for macromolecular NMR and related areas, CcpNmr suite of programs like Analysis for spectrum visualization, resonance assignment and analysis, ChemBuild to create chemical structure templates in an NMR aware manner, FormatConverter for data exchange with common textual NMR formats and SpecView for swift, format independent peak and spectrum visualization.
Proper citation: Collaborative Computing Project for NMR (RRID:SCR_016983) Copy
https://ous-research.no/bioinformatics/
Core facility provides high throughput sequencing data analysis, metagenomics data analysis, proteomics data analysis, protein structure analysis, functional genomics, programming, scripting, and database or web services.
Proper citation: Rikshospitalet-Radiumhospitalet and University of Oslo Bioinformatics Core Facility (RRID:SCR_017152) Copy
http://www.biomexsolutions.co.uk/morda
Software package for molecular replacement protein structure solution using X-ray data. Includes database and set of programs for structure solution. Automatic molecular replacement pipeline.
Proper citation: MoRDa (RRID:SCR_017278) Copy
https://bioinfo3d.cs.tau.ac.il/PatchDock/
Web server for molecular docking. Performs structure prediction of protein–protein and protein–small molecule complexes. Molecular docking algorithm based on shape complementarity principles.
Proper citation: PatchDock (RRID:SCR_017589) Copy
http://apps.cytoscape.org/apps/cytohubba
Software tool for identifying hub objects and sub-networks from complex interactome. Predicts and explore nodes and subnetworks in given network by several topological algorithms. Provides interface to analyze topology of protein-protein interaction networks, such as human, yeast, rat, mouse, fly etc. Plugin works with Cytoscape 2.6 or above, which requires Java 1.5 or above.
Proper citation: cytoHubba (RRID:SCR_017677) Copy
https://www.ncbi.nlm.nih.gov/Structure/cdd/wrpsb.cgi
Web tool for conserved domains searching within protein or coding nucleotide sequence.
Proper citation: Conserved Domains Search (RRID:SCR_018729) Copy
Web platform for downstream analysis and visualization of proteomics data. Server that facilitates integrated annotation, analysis and visualization of quantitative proteomics data, with emphasis on PTM networks and integration with LINCS library of chemical and genetic perturbation signatures in order to provide further mechanistic and functional insights. Primary input for server consists of set of peptides or proteins, optionally with PTM sites, and their corresponding abundance values.
Proper citation: piNET (RRID:SCR_018693) Copy
http://www.cbs.dtu.dk/services/BepiPred/index.php
Sequential B-Cell Epitope Predictor. Web server predicts B-cell epitopes from protein sequence. Sequence-based B-cell epitope prediction using conformational epitopes. Sequences of protein of interest should be in fasta format. BepiPred 2.0 is available as stand alone software package, with same functionality as web service., THIS RESOURCE IS NO LONGER IN SERVICE. Documented on September 16,2025.
Proper citation: BepiPred-2.0 (RRID:SCR_018499) Copy
Software toolkit for unambiguously describing molecular structure of DNA, RNA, and proteins, including non-canonical monomeric forms, crosslinks, nicks, and circular topologies. Aims to help epigenomics, transcriptomics, proteomics, systems biology, and synthetic biology researchers share and integrate information about DNA modification, post-transcriptional modification, post-translational modification, expanded genetic codes, and synthetic parts.
Proper citation: BpForms (RRID:SCR_018653) Copy
http://www.cbs.dtu.dk/services/DiscoTope/
Web server to predict discontinuous B cell epitopes from protein three dimensional structures.
Proper citation: DiscoTope (RRID:SCR_018530) Copy
https://www.ddg-pharmfac.net/AllerTOP/
Web server for in silico prediction of allergens. Alignment free server for in silico prediction of allergens based on main physicochemical properties of proteins. Used to predict the route of allergen exposure: food, inhalant or toxin.
Proper citation: AllerTop (RRID:SCR_018496) Copy
https://prosa.services.came.sbg.ac.at/prosa.php
Web service is extension of classic ProSA program used for refinement and validation of experimental protein structures and in structure prediction and modeling.
Proper citation: ProSA-web (RRID:SCR_018540) Copy
http://tools.dice-database.org/GOnet/)
Web tool for interactive Gene Ontology analysis of any biological data sources resulting in gene or protein lists.
Proper citation: GOnet (RRID:SCR_018977) Copy
Web tool as protein structure prediction service. Provides automated structure prediction and analysis tools that can be used to infer protein structural information from genomic data. Produces model for entire protein sequence in presence or absence of sequence homology to protein of known structure.
Proper citation: Robetta (RRID:SCR_018805) Copy
Can't find your Tool?
We recommend that you click next to the search bar to check some helpful tips on searches and refine your search firstly. Alternatively, please register your tool with the SciCrunch Registry by adding a little information to a web form, logging in will enable users to create a provisional RRID, but it not required to submit.
Welcome to the dkNET Resources search. From here you can search through a compilation of resources used by dkNET and see how data is organized within our community.
You are currently on the Community Resources tab looking through categories and sources that dkNET has compiled. You can navigate through those categories from here or change to a different tab to execute your search through. Each tab gives a different perspective on data.
If you have an account on dkNET then you can log in from here to get additional features in dkNET such as Collections, Saved Searches, and managing Resources.
Here is the search term that is being executed, you can type in anything you want to search for. Some tips to help searching:
You can save any searches you perform for quick access to later from here.
We recognized your search term and included synonyms and inferred terms along side your term to help get the data you are looking for.
If you are logged into dkNET you can add data records to your collections to create custom spreadsheets across multiple sources of data.
Here are the sources that were queried against in your search that you can investigate further.
Here are the categories present within dkNET that you can filter your data on
Here are the subcategories present within this category that you can filter your data on
If you have any further questions please check out our FAQs Page to ask questions and see our tutorials. Click this button to view this tutorial again.