Toward more realistic drug–target interaction predictions

A number of supervised machine learning models have recently been introduced for the prediction of drug–target interactions based on chemical structure and genomic sequence information. Although these models could offer improved means for many network pharmacology applications, such as repositioning...

Full description

Saved in:
Bibliographic Details
Published in:Brief Bioinform
Main Authors: Pahikkala, Tapio, Airola, Antti, Pietilä, Sami, Shakyawar, Sushil, Szwajda, Agnieszka, Tang, Jing, Aittokallio, Tero
Format: Artigo
Language:Inglês
Published: Oxford University Press 2015
Subjects:
Papers
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC4364066/
https://ncbi.nlm.nih.gov/pubmed/24723570
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bib/bbu010
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items