scholarly journals Strategies for Transporter-targeted Drug Discovery

2021 ◽  
Vol 141 (4) ◽  
pp. 489-490
Author(s):  
Yoshinori Moriyama ◽  
Yasuo Shinohara
BioTechniques ◽  
2002 ◽  
Vol 32 (3) ◽  
pp. 636-647 ◽  
Author(s):  
Erica A. Golemis ◽  
Kenneth D. Tew ◽  
Disha Dadke

2012 ◽  
Vol 52 (10) ◽  
pp. 2741-2753 ◽  
Author(s):  
Lu Chen ◽  
George A. Calin ◽  
Shuxing Zhang

2019 ◽  
Vol 4 (4) ◽  
pp. 206-213 ◽  
Author(s):  
Benquan Liu ◽  
Huiqin He ◽  
Hongyi Luo ◽  
Tingting Zhang ◽  
Jingwei Jiang

Different kinds of biological databases publicly available nowadays provide us a goldmine of multidiscipline big data. The Cancer Genome Atlas is a cancer database including detailed information of many patients with cancer. DrugBank is a database including detailed information of approved, investigational and withdrawn drugs, as well as other nutraceutical and metabolite structures. PubChem is a chemical compound database including all commercially available compounds as well as other synthesisable compounds. Protein Data Bank is a crystal structure database including X-ray, cryo-EM and nuclear magnetic resonance protein three-dimensional structures as well as their ligands. On the other hand, artificial intelligence (AI) is playing an important role in the drug discovery progress. The integration of such big data and AI is making a great difference in the discovery of novel targeted drug. In this review, we focus on the currently available advanced methods for the discovery of highly effective lead compounds with great absorption, distribution, metabolism, excretion and toxicity properties.


2015 ◽  
Vol 20 (3) ◽  
pp. 353-360 ◽  
Author(s):  
Raphael Tavares ◽  
Nicole M. Scherer ◽  
Carlos G. Ferreira ◽  
Fabricio F. Costa ◽  
Fabio Passetti

2011 ◽  
Author(s):  
Riesa Burnett ◽  
Hitesh Appaiah ◽  
Poornima Bhat-Nakshatri ◽  
Jim Wikel ◽  
Peter Crooks ◽  
...  

2017 ◽  
Vol 11 (3) ◽  
pp. 277-282 ◽  
Author(s):  
Renee Fruchter ◽  
Meleha Ahmad ◽  
Michael Pillinger ◽  
Claudia Galeano ◽  
Bruce N. Cronstein ◽  
...  

2016 ◽  
Vol 21 (4) ◽  
pp. 333-341 ◽  
Author(s):  
Han Cheng ◽  
Tianji Chen ◽  
Merve Tor ◽  
Deborah Park ◽  
Qiyuan Zhou ◽  
...  

Pulmonary arterial hypertension is a complex disease with multiple etiologic factors. PDLIM5, a member of the Enigma subfamily of PDZ and LIM domain protein family, contains an N-terminal PDZ domain and three LIM domains at its C-terminus. We have previously shown that overexpression of PDLIM5 prevents hypoxia-induced pulmonary hypertension (PH), and deletion of PDLIM5 in smooth muscle cells enhances hypoxia-induced PH in vivo. These results suggest that PDLIM5 may be a novel therapeutic target of PH. In this study, we aim to establish a high-throughput screening platform for PDLIM5-targeted drug discovery. We generated a stable mink lung epithelial cell line (MLEC) containing a transforming growth factor–β/Smad luciferase reporter with lentivirus-mediated suppression of PDLIM5 (MLEC-shPDLIM5) and measured levels of Smad2/3 and pSmad2/3. We found that in MLEC, suppression of PDLIM5 decreased Smad-dependent luciferase activity, Smad3, and pSmad3. We used MLEC-shPDLIM5 and a control cell line (MLEC-shCTL) to screen the Prestwick library (1200 compounds) and identified and validated paclitaxel as a PDLIM5 inhibitor in MLEC. Furthermore, we showed that paclitaxel inhibited Smad2 expression and Smad3 phosphorylation in A549 cells. Our study suggests that this system is robust and suitable for PDLIM5-targeted drug discovery.


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