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Foldy: An open-source web application for interactive protein structure analysis.

Authors :
Jacob B Roberts
Alberto A Nava
Allison N Pearson
Matthew R Incha
Luis E Valencia
Melody Ma
Abhay Rao
Jay D Keasling
Source :
PLoS Computational Biology, Vol 20, Iss 2, p e1011171 (2024)
Publication Year :
2024
Publisher :
Public Library of Science (PLoS), 2024.

Abstract

Foldy is a cloud-based application that allows non-computational biologists to easily utilize advanced AI-based structural biology tools, including AlphaFold and DiffDock. With many deployment options, it can be employed by individuals, labs, universities, and companies in the cloud without requiring hardware resources, but it can also be configured to utilize locally available computers. Foldy enables scientists to predict the structure of proteins and complexes up to 6000 amino acids with AlphaFold, visualize Pfam annotations, and dock ligands with AutoDock Vina and DiffDock. In our manuscript, we detail Foldy's interface design, deployment strategies, and optimization for various user scenarios. We demonstrate its application through case studies including rational enzyme design and analyzing proteins with domains of unknown function. Furthermore, we compare Foldy's interface and management capabilities with other open and closed source tools in the field, illustrating its practicality in managing complex data and computation tasks. Our manuscript underlines the benefits of Foldy as a day-to-day tool for life science researchers, and shows how Foldy can make modern tools more accessible and efficient.

Subjects

Subjects :
Biology (General)
QH301-705.5

Details

Language :
English
ISSN :
1553734X and 15537358
Volume :
20
Issue :
2
Database :
Directory of Open Access Journals
Journal :
PLoS Computational Biology
Publication Type :
Academic Journal
Accession number :
edsdoj.2575bc688d0540fea5c4ae20c9273503
Document Type :
article
Full Text :
https://doi.org/10.1371/journal.pcbi.1011171&type=printable