SemanticCAP: Chromatin Accessibility Prediction Enhanced by Features Learning from a Language Model

SemanticCAP: Chromatin Accessibility Prediction Enhanced by Features Learning from a Language Model

A large number of inorganic and organic compounds are able to bind DNA and form complexes, among which drug-related molecules are important. Chromatin accessibility changes not only directly affect drug–DNA interactions, but they can promote or inhibit the expression of the critical genes associated...

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Bibliographic Details
Main Authors: Yikang Zhang, Xiaomin Chu, Yelu Jiang, Hongjie Wu, Lijun Quan
Format: Article
Language:English
Published: MDPI AG 2022-03-01
Series:Genes
Subjects:
chromatin accessibility
drug design
language model
transformer
feature fusion
Online Access:https://www.mdpi.com/2073-4425/13/4/568

Internet

https://www.mdpi.com/2073-4425/13/4/568

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