Protocol for the prediction, interpretation, and mutation evaluation of post-translational modification using MIND-S

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...

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Detalles Bibliográficos
Autores principales: Yan, Yu, Wang, Dean, Xin, Ruiqi, Soriano, Raine A., Ng, Dominic C.M., Wang, Wei, Ping, Peipei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10694567/
https://www.ncbi.nlm.nih.gov/pubmed/37979178
http://dx.doi.org/10.1016/j.xpro.2023.102682
Descripción
Sumario: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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