Cargando…
Machine Learning From Molecular Dynamics Trajectories to Predict Caspase-8 Inhibitors Against Alzheimer’s Disease
Alzheimer’s disease (AD) is a neurodegenerative disorder in which the death of brain cells takes place leading to loss of memory and decreased cognitive ability. AD is a leading cause of death worldwide and is progressive in nature with symptoms worsening over time. Machine learning–based computatio...
Autores principales: | Jamal, Salma, Grover, Abhinav, Grover, Sonam |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6639425/ https://www.ncbi.nlm.nih.gov/pubmed/31354494 http://dx.doi.org/10.3389/fphar.2019.00780 |
Ejemplares similares
-
Predicting phosphorylation sites using machine learning by integrating the sequence, structure, and functional information of proteins
por: Jamal, Salma, et al.
Publicado: (2021) -
Artificial Intelligence and Machine learning based prediction of resistant and susceptible mutations in Mycobacterium tuberculosis
por: Jamal, Salma, et al.
Publicado: (2020) -
Author Correction: Artificial Intelligence and Machine learning based prediction of resistant and susceptible mutations in Mycobacterium tuberculosis
por: Jamal, Salma, et al.
Publicado: (2020) -
Integrating network, sequence and functional features using machine learning approaches towards identification of novel Alzheimer genes
por: Jamal, Salma, et al.
Publicado: (2016) -
Long-range replica exchange molecular dynamics guided drug repurposing against tyrosine kinase PtkA of Mycobacterium tuberculosis
por: Nagpal, Priya, et al.
Publicado: (2020)