High-throughput statistical screening of antiinfective peptides from natural antibacterial protein repertoire: Chemometric prediction, molecular modeling, and susceptibility analysis

2018 ◽  
Vol 32 (7) ◽  
pp. e3026 ◽  
Author(s):  
Guangmei Sun ◽  
Liyun Leng ◽  
Xiaocui Wang
2019 ◽  
Vol 123 (23) ◽  
pp. 14610-14618 ◽  
Author(s):  
Mohammad Atif Faiz Afzal ◽  
Mojtaba Haghighatlari ◽  
Sai Prasad Ganesh ◽  
Chong Cheng ◽  
Johannes Hachmann

Virology ◽  
2011 ◽  
Vol 413 (2) ◽  
pp. 231-243 ◽  
Author(s):  
Jean Labrecque ◽  
Markus Metz ◽  
Gloria Lau ◽  
Marilyn C. Darkes ◽  
Rebecca S.Y. Wong ◽  
...  

Acta Naturae ◽  
2013 ◽  
Vol 5 (2) ◽  
pp. 90-99 ◽  
Author(s):  
R. Moriev ◽  
O. Vasylchenko ◽  
M. Platonov ◽  
O. Grygorenko ◽  
K. Volkova ◽  
...  

The aim of this study was to identify small molecule compounds that inhibit the kinase activity of the IGF1 receptor and represent novel chemical scaffolds, which can be potentially exploited to develop drug candidates that are superior to the existing experimental anti-IGF1R therapeuticals. To this end, targeted compound libraries were produced by virtual screening using molecular modeling and docking strategies, as well as the ligand-based pharmacophore model. High-throughput screening of the resulting compound sets in a biochemical kinase inhibition assay allowed us to identify several novel chemotypes that represent attractive starting points for the development of advanced IGF1R inhibitory compounds.


2008 ◽  
Vol 13 (23-24) ◽  
pp. 1052-1058 ◽  
Author(s):  
G. Giupponi ◽  
M.J. Harvey ◽  
G. De Fabritiis

PLoS ONE ◽  
2011 ◽  
Vol 6 (11) ◽  
pp. e26039 ◽  
Author(s):  
Lotta Berg ◽  
C. David Andersson ◽  
Elisabet Artursson ◽  
Andreas Hörnberg ◽  
Anna-Karin Tunemalm ◽  
...  

2007 ◽  
Vol 177 (4S) ◽  
pp. 52-53
Author(s):  
Stefano Ongarello ◽  
Eberhard Steiner ◽  
Regina Achleitner ◽  
Isabel Feuerstein ◽  
Birgit Stenzel ◽  
...  

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