Chemoproteomics for Plasmodium parasite drug target discovery

ChemBioChem ◽  
2021 ◽  
Author(s):  
Kuan-Yi Lu ◽  
Christopher Mansfield ◽  
Michael Fitzgerald ◽  
Emily Derbyshire
ChemBioChem ◽  
2021 ◽  
Author(s):  
Kuan‐Yi Lu ◽  
Christopher R. Mansfield ◽  
Michael C. Fitzgerald ◽  
Emily R. Derbyshire

2021 ◽  
Author(s):  
Phoebe C. Parrish ◽  
James D. Thomas ◽  
Shriya Kamlapurkar ◽  
Robert K. Bradley ◽  
Alice H. Berger

2014 ◽  
Vol 13 (1) ◽  
pp. 198-204 ◽  
Author(s):  
H.M. Zhang ◽  
Z.R. Nan ◽  
G.Q. Hui ◽  
X.H. Liu ◽  
Y. Sun

2011 ◽  
Vol 76 (0) ◽  
pp. 235-246 ◽  
Author(s):  
J. D. Rabinowitz ◽  
J. G. Purdy ◽  
L. Vastag ◽  
T. Shenk ◽  
E. Koyuncu

2019 ◽  
Vol 21 (6) ◽  
pp. 1937-1953 ◽  
Author(s):  
Jussi Paananen ◽  
Vittorio Fortino

Abstract The drug discovery process starts with identification of a disease-modifying target. This critical step traditionally begins with manual investigation of scientific literature and biomedical databases to gather evidence linking molecular target to disease, and to evaluate the efficacy, safety and commercial potential of the target. The high-throughput and affordability of current omics technologies, allowing quantitative measurements of many putative targets (e.g. DNA, RNA, protein, metabolite), has exponentially increased the volume of scientific data available for this arduous task. Therefore, computational platforms identifying and ranking disease-relevant targets from existing biomedical data sources, including omics databases, are needed. To date, more than 30 drug target discovery (DTD) platforms exist. They provide information-rich databases and graphical user interfaces to help scientists identify putative targets and pre-evaluate their therapeutic efficacy and potential side effects. Here we survey and compare a set of popular DTD platforms that utilize multiple data sources and omics-driven knowledge bases (either directly or indirectly) for identifying drug targets. We also provide a description of omics technologies and related data repositories which are important for DTD tasks.


2008 ◽  
Vol 4 (4) ◽  
pp. 186-193 ◽  
Author(s):  
Peter Williamson ◽  
Shirong Zhang ◽  
John Panepinto ◽  
Guowu Hu ◽  
Scott Waterman ◽  
...  

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