Deep learning analysis of sugar beet (Beta vulgaris ssp vulgaris) protease inhibitors interacting with identified trypsins from its primary pathogen, the sugar beet root maggot Tetanops myopaeformis
Authors
Vincent P. Klink (ORCID: https://orcid.org/0000-0002-7167-4032)
Nadim W. Alkharouf (ORCID: https://orcid.org/0000-0001-6038-0410)
Deep learning analysis of sugar beet (Beta vulgaris ssp vulgaris) protease inhibitors interacting with identified trypsins from its primary pathogen, the sugar beet root maggot Tetanops myopaeformis
Vincent P. Klink, Nadim W. Alkharouf, Chenggen Chu, Sidra Rahim et al.
Journal
Data in Brief
Topics
Insect Resistance and Genetics
article
Deep learning analysis of sugar beet (Beta vulgaris ssp vulgaris) protease inhibitors interacting with identified trypsins from its primary pathogen, the sugar beet root maggot Tetanops myopaeformis
Vincent P. Klink, Nadim W. Alkharouf, Chenggen Chu, Sidra Rahim, Yerang Lee
article en
Abstract
No abstract available for this paper.
Publication Tag
Data in BriefVol. 66
Institutions
Agricultural Research Service (US), Northern Great Plains Research Laboratory (US), Towson University (US)
Funders
U.S. Department of Agriculture, Beet Sugar Development Foundation, Agricultural Research Service