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Publication | Open Access

The applications of deep learning algorithms on in silico druggable proteins identification

45

Citations

50

References

2022

Year

Abstract

We developed the first deep learning-based classifier for fast and accurate identification of potential druggable proteins. We hope that this study will be helpful for future researchers who would like to use deep learning techniques to develop relevant predictive models.

References

YearCitations

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