1 - 24 of 24 results

DBSecSys / Database of Burkholderia malleiSecretion Systems

A database of B. mallei secretion system proteins. The database organization provided capability to store and retrieve comprehensive information about pathogen proteins associated with secretion systems, such as their annotation, involvement in virulence, host protein targets, and mechanisms of action inferred from the literature and host-pathogen interaction data. In DBSecSys 2.0, we improved data querying and retrieval, enabling comparison of secretion systems for multiple pathogens. In addition, we expanded the database with new information about B. pseudomallei and updated the information about B. mallei. These updates provide unique capabilities to access comprehensive information about the secretion systems of B. mallei and B. pseudomallei. Importantly, they enable studies and comparisons of corresponding proteins of these two closely related pathogens and their host-interacting partners.

FunSecKB / Fungal Secretome KnowledgeBase

An improved and updated version of the fungal secretome and subcellular proteome, i. e. protein subcellular location, knowledgebase. The fungal protein sequence data were retrieved from UniProtKB, consisting of nearly 2 million entries with 167 species having a complete proteome. The assignments of protein subcellular locations were based on curated information and prediction using seven computational tools. The tools used for subcellular location prediction include SignalP, WoLF PSORT, Phobius, TargetP, TMHMM, FragAnchor, and PS-Scan. Secreted proteins, i.e. secretomes, along with 15 other subcellular proteomes were predicted. FunSecKB can be searched by users using several different types of identifiers, gene name or keyword(s). A subcellular proteome from a species can be searched or downloaded. BLAST searching whole fungal protein data or secretomes is available.

VerSeDa / Vertebrate Secretome Database

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Accelerates the prediction process for whole secretomes (the full set of secreted proteins by a given organism). VerSeDa stores information about proteins that are predicted to be secreted from cells through classical and non-classical mechanisms, for a wide range of vertebrate species and model organisms represented at the NCBI, UCSC and ENSEMBL sites. This database is designed to store secretome data with associated protein feature predictions from sequenced vertebrate genomes, helping this way with time-consuming bioinformatic assessments, which require multifactorial analyses in order to obtain reliable in-silico forecasts.

SECRiFY / SECretability screening of Recombinant Fragments in Yeast

Provides a collection of yeast-secretable human protein segments. SECRiFY focuses on domain-sized protein fragments rather than full-length proteins, with the aim of avoiding the misdetection of secretability of parts of multi-domain proteins that fail to express or secrete in their entirety. It can be useful for training of predictive machine learning classifiers. This database can be valuable in the context of structural studies, immunological experiments, and biochemical characterizations of particular proteins.

PlantSSP / Plant Small Secretory Peptides Database

Compiles information about small secretory peptides (SSPs) censused in plants. PlantSSP allows users to browse among a set extracted from more than 30 plants genomes by families or by sequence ID. The database gives access to the SSP classes and their related consensus sequences. Besides, the platform also supplies a downloadable file including protein sequence and Hidden Markov Model (HMM) profile that users can modify to increase the genome annotation.


A comprehensive database of potential mycobacterial secretomes (MycoSec) using pre-existing algorithms for secretome prediction for researchers interested in this particular field. The database provides a platform for retrieval and analysis of identified secretomes in all finished genomes of the family Mycobacteriaceae. The database contains valuable information regarding secretory signal peptides (Sec type), lipoprotein signal peptides (Lipo type), and Twin arginine (RR/KR) signal peptides (TAT type), prevalent in mycobacteria.


Collects and stores blood–brain barrier (BBB) transport information with positive as well as negative results. Brainpeps allows to prioritize peptide choices for evaluating different BBB responses or studying quantitative structure-property relationships of peptides. Researchers can search the database by peptide nomenclature (e.g. peptide name, letter code), BBB method (e.g. multiple time regression, efflux), BBB response value (e.g. Kin, kout) and literature (author, year, journal).


A secretome and subcellular proteome knowledgebase specifically designed for metazoan, i.e. human and animals. The protein sequence data, consisting of over 4 million entries with 121 species having a complete proteome, were retrieved from UniProtKB. Protein subcellular locations including secreted and 15 other subcellular locations were assigned based on either curated experimental evidence or prediction using seven computational tools. The protein or subcellular proteome data can be searched and downloaded using several different types of identifiers, gene name or keyword(s), and species. BLAST search and community annotation of subcellular locations are also supported.

HCSD / Human Cancer Secretome Database

A comprehensive database for human cancer secretome data. The cancer secretome describes proteins secreted by cancer cells and structuring information about the cancer secretome will enable further analysis of how this is related with tumor biology. The results are visualized in an explicit and interactive manner. An example of a result page includes annotations, cross references, cancer secretome data and secretory features for each identified protein.

PlantSecKB / Plant Secretome and Subcellular Proteome KnowledgeBase

A database for the plant research community to access and curate plant protein subcellular locations, with a focus on secreted proteins. PlantSecKB is constructed with all the available plant protein data retrieved from the UniProtKB database and plant protein sequences predicted from EST data assembled by the PlantGDB project. The database contains information collected from three sources: (1) subcellular locations that were curated or computationally predicted in the UniProtKB; (2) subcellular locations and features predicted by eight computational tools; (3) secreted proteins that were curated from recent literature.

HSD / Helminth Secretome Database

A compilation excretory secretory proteins from parasitic helminths. Helminth Secretome Database serves as a repository for ES proteins predicted using classical and non-classical secretory pathways, from EST data for 78 helminth species (64 nematodes, 7 trematodes and 7 cestodes) ranging from parasitic to free-living organisms. This approach can be used on new large-scale transcriptomic data sets from NGS platforms, for rapid prediction and annotation of ES proteins.

YPD / Yeast Protein Database

The Yeast Protein Database (YPD) is a curated database for the proteome of Saccharomyces cerevisiae. It consists of ∼6000 Yeast Protein Reports, one for each of the known or predicted yeast proteins. It uses a standardized format for presentation of a maximal amount of protein information on one Web page. The four sections of each Yeast Protein Report are: (i) the one-to-two line descriptive phrase (title line), (ii) the formatted protein property section, (iii) the annotations divided by topic headings, and (iv) the reference list.