Database Commons
Database Commons

a catalog of worldwide biological databases

Database Profile

PathBank

General information

URL: https://pathbank.org
Full name: PathBank 2.0
Description: PathBank 2.0, brings a number of important improvements and upgrades that should make the database more useful and more appealing to a larger cross-section of users. PathBank is an interactive, visual database containing more than 600 000 machine-readable pathways found in model organisms such as humans, mice, E. coli, yeast, and Arabidopsis thaliana.
Year founded: 2024
Last update: 2024-01-05
Version: v2.0
Accessibility:
Accessible
Country/Region: Canada

Classification & Tag

Data type:
Data object:
NA
Database category:
Major species:
NA
Keywords:

Contact information

University/Institution: University of Alberta
Address: Department of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada
City: Edmonton
Province/State:
Country/Region: Canada
Contact name (PI/Team): David S Wishart
Contact email (PI/Helpdesk): dwishart@ualberta.ca

Publications

37962386
PathBank 2.0-the pathway database for model organism metabolomics. [PMID: 37962386]
David S Wishart, Ray Kruger, Aadhavya Sivakumaran, Karxena Harford, Selena Sanford, Rahil Doshi, Nitya Kehrtarpal, Omolola Fatokun, Daphnee Doucet, Ashley Zubkowski, Hayley Jackson, Gina Sykes, Miguel Ramirez-Gaona, Ana Marcu, Carin Li, Kristen Yee, Christiana Garros, Dorsa Yahya Rayat, Jeanne Coleongco, Tharuni Nandyala, Vasuk Gautam, Eponine Oler

PathBank (https://pathbank.org) and its predecessor database, the Small Molecule Pathway Database (SMPDB), have been providing comprehensive metabolite pathway information for the metabolomics community since 2010. Over the past 14 years, these pathway databases have grown and evolved significantly to meet the needs of the metabolomics community and respond to continuing changes in computing technology. This year's update, PathBank 2.0, brings a number of important improvements and upgrades that should make the database more useful and more appealing to a larger cross-section of users. In particular, these improvements include: (i) a significant increase in the number of primary or canonical pathways (from 1720 to 6951); (ii) a massive increase in the total number of pathways (from 110 234 to 605 359); (iii) significant improvements to the quality of pathway diagrams and pathway descriptions; (iv) a strong emphasis on drug metabolism and drug mechanism pathways; (v) making most pathway images more slide-compatible and manuscript-compatible; (vi) adding tools to support better pathway filtering and selecting through a more complete pathway taxonomy; (vii) adding pathway analysis tools for visualizing and calculating pathway enrichment. Many other minor improvements and updates to the content, the interface and general performance of the PathBank website have also been made. Overall, we believe these upgrades and updates should greatly enhance PathBank's ease of use and its potential applications for interpreting metabolomics data.

Nucleic Acids Res. 2024:52(D1) | 11 Citations (from Europe PMC, 2025-12-13)
31602464
PathBank: a comprehensive pathway database for model organisms. [PMID: 31602464]
Wishart DS, Li C, Marcu A, Badran H, Pon A, Budinski Z, Patron J, Lipton D, Cao X, Oler E, Li K, Paccoud M, Hong C, Guo AC, Chan C, Wei W, Ramirez-Gaona M.

PathBank (www.pathbank.org) is a new, comprehensive, visually rich pathway database containing more than 110 000 machine-readable pathways found in 10 model organisms (Homo sapiens, Bos taurus, Rattus norvegicus, Mus musculus, Drosophila melanogaster, Caenorhabditis elegans, Arabidopsis thaliana, Saccharomyces cerevisiae, Escherichia coli and Pseudomonas aeruginosa). PathBank aims to provide a pathway for every protein and a map for every metabolite. This resource is designed specifically to support pathway elucidation and pathway discovery in transcriptomics, proteomics, metabolomics and systems biology. It provides detailed, fully searchable, hyperlinked diagrams of metabolic, metabolite signaling, protein signaling, disease, drug and physiological pathways. All PathBank pathways include information on the relevant organs, organelles, subcellular compartments, cofactors, molecular locations, chemical structures and protein quaternary structures. Each small molecule is hyperlinked to the rich data contained in public chemical databases such as HMDB or DrugBank and each protein or enzyme complex is hyperlinked to UniProt. All PathBank pathways are accompanied with references and detailed descriptions which provide an overview of the pathway, condition or processes depicted in each diagram. Every PathBank pathway is downloadable in several machine-readable and image formats including BioPAX, SBML, PWML, SBGN, RXN, PNG and SVG. PathBank also supports community annotations and submissions through the web-based PathWhiz pathway illustrator. The vast majority of PathBank's pathways (>95%) are not found in any other public pathway database.

Nucleic Acids Res. 2020:48(D1) | 84 Citations (from Europe PMC, 2025-12-13)

Ranking

All databases:
818/6895 (88.151%)
Pathway:
52/451 (88.692%)
818
Total Rank
92
Citations
18.4
z-index

Community reviews

Not Rated
Data quality & quantity:
Content organization & presentation
System accessibility & reliability:

Word cloud

Related Databases

Citing
Cited by

Record metadata

Created on: 2024-07-15
Curated by:
Shiting Wang [2024-08-30]
Shiting Wang [2024-08-29]
Miaomiao Wang [2024-07-18]
zheng luo [2024-07-15]