Deep Learning for Protein–peptide binding Prediction: Incorporating Sequence, Structural and Language Model Features
Abel Chandra,
Alok Sharma,
Iman Dehzangi
et al.
Abstract:Protein-peptide interactions play a crucial role in various cellular processes and are implicated in abnormal cellular behaviors leading to diseases such as cancer. Therefore, understanding these interactions is vital for both functional genomics and drug discovery efforts. Despite a significant increase in the availability of protein-peptide complexes, experimental methods for studying these interactions remain laborious, time-consuming, and expensive. Computational methods offer a complementary approach but … Show more
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