A deep learning model to detect novel pore-forming proteins.

ABSTRACT: Many pore-forming proteins originating from pathogenic bacteria are toxic against agricultural pests. They are the key ingredients in several pesticidal products for agricultural use, including transgenic crops. There is an urgent need to identify novel pore-forming proteins to combat development of resistance in pests to existing products, and to develop products that are effective against a broader range of pests. Existing computational methodologies to search for these proteins rely on sequence homology-based approaches. These approaches are based on similarities between protein sequences, and thus are limited in their usefulness for discovering novel proteins. In this paper, we outline a novel deep learning model trained on pore-forming proteins from the public domain. We compare diffe

SUBMITTER: Jacob T 

PROVIDER: S-EPMC8821639 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature