Protocol for the prediction, interpretation, and mutation evaluation of post-translational modification using MIND-S
Yu Yan(University of California, Los Angeles), Dean Wang(Charles R. Drew University of Medicine and Science), Ruiqi Xin(University of California, Los Angeles), Raine A. Soriano(University of California, Los Angeles), Dominic C. M. Ng(Charles R. Drew University of Medicine and Science), Wei Wang(University of California, Los Angeles), Peipei Ping(University of California, Los Angeles)
Cited by 3Open Access
Abstract
Post-translational modifications (PTMs) serve as key regulatory mechanisms in various cellular processes; altered PTMs can potentially lead to human diseases. We present a protocol for using MIND-S (multi-label interpretable deep-learning approach for PTM prediction-structure version), to study PTMs. This protocol consists of step-by-step guide and includes three key applications of MIND-S: PTM predictions based on protein sequences, important amino acids identification, and elucidation of altered PTM landscape resulting from molecular mutations. For complete details on the use and execution of this protocol, please refer to Yan et al (2023).1
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