Prediction of Premature Termination Codon Suppressing Compounds for Treatment of Duchenne Muscular Dystrophy Using Machine Learning

Prediction of Premature Termination Codon Suppressing Compounds for Treatment of Duchenne Muscular Dystrophy Using Machine Learning

A significant percentage of Duchenne muscular dystrophy (DMD) cases are caused by premature termination codon (PTC) mutations in the dystrophin gene, leading to the production of a truncated, non-functional dystrophin polypeptide. PTC-suppressing compounds (PTCSC) have been developed in order to res...

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Bibliographic Details
Main Authors: Kate Wang, Eden L. Romm, Valentina L. Kouznetsova, Igor F. Tsigelny
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Molecules
Subjects:
Duchenne muscular dystrophy
stop codon
machine learning
deep learning
pharmacophore
PTC-suppressing compounds
Online Access:https://www.mdpi.com/1420-3049/25/17/3886

Internet

https://www.mdpi.com/1420-3049/25/17/3886

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