Predicting Drug-Target Interactions with Electrotopological State Fingerprints and Amphiphilic Pseudo Amino Acid Composition

The task of drug-target interaction (DTI) prediction plays important roles in drug development. The experimental methods in DTIs are time-consuming, expensive and challenging. To solve these problems, machine learning-based methods are introduced, which are restricted by effective feature extraction...

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Detalles Bibliográficos
Autores principales: Wang, Cheng, Wang, Wenyan, Lu, Kun, Zhang, Jun, Chen, Peng, Wang, Bing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7570185/
https://www.ncbi.nlm.nih.gov/pubmed/32784497
http://dx.doi.org/10.3390/ijms21165694

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7570185/
https://www.ncbi.nlm.nih.gov/pubmed/32784497
http://dx.doi.org/10.3390/ijms21165694

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