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http://www.grenoble.prabi.fr/obiwarehouse/unipathway

A manually curated database of enzyme-catalyzed and spontaneous chemical reactions. It provides a hierarchical representation of metabolic pathways and a controlled vocabulary for pathway annotation in UniProtKB. UniPathway data are cross-linked to existing metabolic resources such as ChEBI/Rhea, KEGG and MetaCyc. Users may do a quick search, browse pathway, browse compound, or browse organism.

Proper citation: UniPathway (RRID:SCR_010513) Copy   

•   Source: SciCrunch Registry

http://blast.ncbi.nlm.nih.gov/Blast.cgi?PROGRAM=tblastn&PAGE_TYPE=BlastSearch&LINK_LOC=blasthome

Tool to search translated nucleotide databases using a protein query.

Proper citation: TBLASTN (RRID:SCR_011822) Copy   

•   Source: SciCrunch Registry

http://www.imtech.res.in/raghava/hslpred/

A support vector machine (SVM)-based method for the prediction of 4 major subcellular localization (cytoplasm, mitochondrial, nuclear and plasma membrane) of human proteins using various features such as i) amino acid composition, ii) dipeptide composition and iii) evolutionary information of proteins.

Proper citation: HSLPred (RRID:SCR_011972) Copy   

•   Source: SciCrunch Registry

http://jci-bioinfo.cn/iLoc-Plant

Data analysis service for predicting subcellular localization of plant proteins with single and multiple sites.

Proper citation: iLoc-Plant (RRID:SCR_011973) Copy   

•   Source: SciCrunch Registry

http://bio-cluster.iis.sinica.edu.tw/kbloc/index.html

A knowledge-based data analysis service to predict the localization site(s) of both single-localized and multi-localized proteins.

Proper citation: KnowPredsite (RRID:SCR_011974) Copy   

•   Source: SciCrunch Registry

http://bleoberis.bioc.cam.ac.uk/mcsm

Data analysis service to the study of missense mutations which relies on graph-based signatures.

Proper citation: mCSM (RRID:SCR_010776) Copy   

•   Source: SciCrunch Registry

http://gpcr.biocomp.unibo.it/bacello/

A predictor for the subcellular localization of proteins in eukaryotes that is based on a decision tree of several support vector machines (SVMs). It classifies up to four localizations for Fungi and Metazoan proteins and five localizations for Plant ones. BaCelLo's predictions are balanced among different classes and all the localizations are considered as equiprobable.

Proper citation: BaCelLo (RRID:SCR_011965) Copy   

•   Source: SciCrunch Registry

http://www.csbio.sjtu.edu.cn/bioinf/Cell-PLoc/

A package of web-servers for predicting subcellular localization of proteins in different organisms.

Proper citation: Cell-PLoc (RRID:SCR_011966) Copy   

•   Source: SciCrunch Registry

http://cello.life.nctu.edu.tw/

A subCELlular LOcalization predictor based on a multi-class support vector machine (SVM) classification system. CELLO uses 4 types of sequence coding schemes: the amino acid composition, the di-peptide composition, the partitioned amino acid composition and the sequence composition based on the physico-chemical properties of amino acids. They combine votes from these classifiers and use the jury votes to determine the final assignment.

Proper citation: CELLO (RRID:SCR_011968) Copy   

•   Source: SciCrunch Registry

https://github.com/soedinglab/hh-suite

Software package for sensitive protein sequence searching based on the pairwise alignment of hidden Markov models (HMMs). Used for sequence-based protein function and structure prediction what depends on sequence-search sensitivity and accuracy of the resulting sequence alignments.

Proper citation: HH-suite (RRID:SCR_016133) Copy   

•   Source: SciCrunch Registry

https://rostlab.org/node/960

Alignment software for large-scale protein contact or protein-protein interaction prediction optimized for speed through shorter runtimes. FreeContact provides the opportunity to compute contact predictions in any environment (desktop or cloud).

Proper citation: FreeContact (RRID:SCR_016113) Copy   

•   Source: SciCrunch Registry

https://www.thegpm.org/crap/

List of proteins commonly found in proteomics experiments that are present either by accident or through unavoidable contamination of protein samples. List is based on analysis of current version of GPMDB, as well as suggestions by users. Current version of cRAP in FASTA format can be obtained from the GPM FTP site.

Proper citation: cRAP protein sequences (RRID:SCR_018187) Copy   

•   Source: SciCrunch Registry

http://www.cbs.dtu.dk/services/NetPhos/

Web tool as artificial neural network method that predicts phosphorylation sites in independent sequences. Web application based on determination of activity of protein kinases using in vitro assays with either naturally occurring peptides or synthetic peptides. NetPhos 3.1 server predicts serine, threonine or tyrosine phosphorylation sites in eukaryotic proteins using ensembles of neural networks. Both generic and kinase specific predictions are performed. Generic predictions are identical to predictions performed by NetPhos 2.0. Kinase specific predictions are identical to predictions by NetPhosK 1.0. NetPhos 3.1 is available as stand-alone software package.

Proper citation: NetPhos (RRID:SCR_017975) Copy   

•   Source: SciCrunch Registry

http://himc.stanford.edu

Core designed for immune monitoring services for clinical and translational studies. Goals include providing standardized, state-of-the art immune monitoring assays at RNA, protein, and cellular level, testing and developing new technologies for immune monitoring, archive, report, and mine data from immune monitoring studies. HIMC uses online database for integration of data from standard HIMC assays, along with de-identified clinical and demographic data.

Proper citation: Stanford University Human Immune Monitoring Center Core Facility (RRID:SCR_018266) Copy   

•   Source: SciCrunch Registry

http://www.cbs.dtu.dk/services/ProP/

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.

Proper citation: ProP Server (RRID:SCR_014936) Copy   

•   Source: SciCrunch Registry

http://hollow.sourceforge.net/

HOLLOW facilitates the production of surface images of proteins. HOLLOW is a portable command-line utility written in Python 2.4-2.7; it does not have any other dependencies (although running under the PyPy JIT interpreter, it runs much faster). The input is a PDB file. The output is a PDB file of dummy water atoms that forms a cast of the voids and channels of a protein. HOLLOW generates a surface from a cast of the protein surface. HOLLOW fills the interior spaces of a protein structure with dummy atoms defined on an overlapping grid. The surface generated by these dummy atoms can be shown to reproduce the surface of the protein at the ideal limit. The use of the surface of the dummy atoms allows us to focus on a specific piece of the interior surface. Simply by deleting dummy atoms, the interior surface can be trimmed to produce a custom portion of the interior space. For advanced coloring of the surface, the B-factor of the dummy atoms can be calculated as the average of the B-factor of the protein atoms surrounding the dummy atoms. This allows various colorings of the surface to be conveyed through the B-factor field of the PDB files. The volume filling representation facilitated by HOLLOW is meant to complement other programs that identify voids, pockets and channels, such as SPHGEN and CASTp, which identify binding sites but cannot produce output that can be rendered in standard molecular graphics software. HOLLOW can be used to help render these binding pockets.

Proper citation: HOLLOW (RRID:SCR_005729) Copy   

•   Source: SciCrunch Registry

http://www.pondr.com/

Web tool to predict order and disorder from amino acid sequence. Used to predict of natural disordered regions in proteins.

Proper citation: PONDR (RRID:SCR_023691) Copy   

•   Source: SciCrunch Registry

https://fuzdrop.bio.unipd.it/predictor

Web tool to predict probability of proteins to undergo liquid-liquid phase separation.Used to perform sequence based identification of both droplet promoting regions and of aggregation promoting regions within droplets. Used to predict droplet promoting regions and proteins, which can spontaneously phase separate.

Proper citation: FuzDrop (RRID:SCR_023675) Copy   

•   Source: SciCrunch Registry

http://expasy.org/

Portal which provides access to scientific databases and software tools (i.e., resources) in different areas of life sciences including proteomics, genomics, phylogeny, systems biology, population genetics, transcriptomics etc. It contains resources from many different SIB groups as well as external institutions.

Proper citation: ExPASy Bioinformatics Resource Portal (RRID:SCR_012880) Copy   

•   Source: SciCrunch Registry

https://cryosparc.com/

Software integrated platform used for obtaining 3D structural information from single particle cryo-EM data. Enables automated, high quality and high-throughput structure discovery of proteins, viruses and molecular complexes for research and drug discovery.

Proper citation: cryoSPARC (RRID:SCR_016501) Copy   

•   Source: SciCrunch Registry