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PathBank 2.0—The pathway database for model organism metabolomics

Authors :
Wishart, David
Kruger, Ray
Sivakumaran, Aadhavya
Harford, Karxena
Sanford, Selena
Doshi, Rahil
Kehrtarpal, Nitya
Fatokun, Omolola
Doucet, Daphnee
Zubkowski, Ashley
Jackson, Hayley
Sykes, Gina
Ramirez-Gaona, Miguel
Marcu, Ana
Li, Carin
Yee, Kristen
Garros, Christiana
Rayat, Dorsa Y.
Coleongco, Jeanne
Nandyala, Tharuni
Gautam, Vasuk
Oler, Eponine
Wishart, David
Kruger, Ray
Sivakumaran, Aadhavya
Harford, Karxena
Sanford, Selena
Doshi, Rahil
Kehrtarpal, Nitya
Fatokun, Omolola
Doucet, Daphnee
Zubkowski, Ashley
Jackson, Hayley
Sykes, Gina
Ramirez-Gaona, Miguel
Marcu, Ana
Li, Carin
Yee, Kristen
Garros, Christiana
Rayat, Dorsa Y.
Coleongco, Jeanne
Nandyala, Tharuni
Gautam, Vasuk
Oler, Eponine
Source :
ISSN: 0305-1048
Publication Year :
2024

Abstract

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.

Details

Database :
OAIster
Journal :
ISSN: 0305-1048
Notes :
application/pdf, Nucleic acids research 52 (2024) D1, ISSN: 0305-1048, ISSN: 0305-1048, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1415727549
Document Type :
Electronic Resource