Drug-target interaction prediction: A Bayesian ranking approach-Reference-Cited by-同舟云学术

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Drug-target interaction prediction: A Bayesian ranking approach

Published:2017-12 Issue: Volume:152 Page:15-21
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Peska Ladislav,Buza Krisztian,Koller Júlia

Funder

Czech grant P46 and Hungarian state stipend

National Research, Development and Innovation Office

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference54 articles.

1. An Iridium(III) complex inhibits JMJD2 activities and acts as a potential epigenetic modulator;Liu;J. Med. Chem.,2015

2. Identification of an Iridium(III)-based inhibitor of tumor necrosis factor-α;Kang;J. Med. Chem.,2016

3. Inhibition of the p53/hDM2 protein-protein interaction by cyclometallated iridium(III) compounds;Liu;Oncotarget,2016

4. Anticancer osmium complex inhibitors of the HIF-1α and p300 protein-protein interaction;Yang;Sci. Rep.,2017

5. ligand affinity prediction with multi-pattern Kernels;Ullrich,2016

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