Computationally accelerating protein-ligand matching for neglected tropical disease : a case in Leishmaniasis
Date
2021
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Abstract
The presentation provides the structure for the study and statistical analysis of the results. The aim was to apply drug repurposing with computational methods towards finding medications to cure Leishmaniasis. The analysis includes correlations between Deep Learning and molecular locking tools. Deep learning is a subset of machine learning in artificial intelligence that has networks capable of learning, unsupervised from data that is unstructured or unlabeled. (Also known as deep neural learning or deep neural network).
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Keywords
AI4D, ARTIFICIAL INTELLIGENCE, MACHINE LEARNING, STATISTICAL ANALYSIS, DATA ANALYSIS, LEISHMANIASIS, PARASITES, TROPICAL DISEASES, SOUTH OF SAHARA