Progress in functional genomics approaches to antifungal drug target discovery

2003 ◽  
Vol 11 (10) ◽  
pp. 470-478 ◽  
Author(s):  
Marianne D. De Backer ◽  
Patrick Van Dijck
Keyword(s):  
Functional Genomics ◽  
Drug Target ◽  
Antifungal Drug ◽  
Drug Target Discovery ◽  
Target Discovery

scholarly journals Functional Genomics for Cancer Drug Target Discovery

Cancer Cell ◽  
2020 ◽  
Vol 38 (1) ◽  
pp. 31-43 ◽  
Author(s):  
Benjamin Haley ◽  
Filip Roudnicky
Keyword(s):  
Functional Genomics ◽  
Drug Target ◽  
Cancer Drug ◽  
Drug Target Discovery ◽  
Target Discovery

Abstract 2139: Enabling cancer drug target discovery through genome-scale identification of synthetic lethal paralog pairs

2021 ◽  
Author(s):  
Phoebe C. Parrish ◽  
James D. Thomas ◽  
Shriya Kamlapurkar ◽  
Robert K. Bradley ◽  
Alice H. Berger
Keyword(s):  
Drug Target ◽  
Cancer Drug ◽  
Drug Target Discovery ◽  
Target Discovery ◽  
Synthetic Lethal ◽  
Genome Scale

scholarly journals Application of genomics and proteomics in drug target discovery

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

scholarly journals Metabolomics in Drug Target Discovery

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

scholarly journals An omics perspective on drug target discovery platforms

2019 ◽  
Vol 21 (6) ◽  
pp. 1937-1953 ◽  
Author(s):  
Jussi Paananen ◽  
Vittorio Fortino
Keyword(s):  
Drug Target ◽  
Drug Targets ◽  
Knowledge Bases ◽  
Scientific Data ◽  
Data Sources ◽  
Biomedical Data ◽  
Drug Target Discovery ◽  
Data Repositories ◽  
Target Discovery ◽  
Omics Technologies

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.

Drug Target Discovery Through Analysis of Laccase Regulatory Networks of Cryptococccus neoformans

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