Machine learning prediction of oncology drug targets based on protein and network properties
Z Dezső, M Ceccarelli - BMC bioinformatics, 2020 - Springer
Background The selection and prioritization of drug targets is a central problem in drug
discovery. Computational approaches can leverage the growing number of large-scale …
discovery. Computational approaches can leverage the growing number of large-scale …
Predicting protein targets for drug-like compounds using transcriptomics
An expanded chemical space is essential for improved identification of small molecules for
emerging therapeutic targets. However, the identification of targets for novel compounds is …
emerging therapeutic targets. However, the identification of targets for novel compounds is …
GWAS and beyond: using omics approaches to interpret SNP Associations
Abstract Purpose of Review Neurodegenerative diseases, neuropsychiatric disorders, and
related traits have highly complex etiologies but are also highly heritable; identifying the …
related traits have highly complex etiologies but are also highly heritable; identifying the …