Drug Target Review – Issue #4 2017
Posted: 5 December 2017 | Drug Target Review | No comments yet
Issue 4 of Drug Target Review looks at artificial intelligence in drug discovery and features In-Depth Focuses on Screening, Hit to Lead and Informatics.
- FOREWORD: Artificial intelligence in drug discover: how long before we see the real impact?
Richard Goodwin, Principal Scientist, AstraZeneca - APPLICATION NOTE: Performing NanoBRET with the Varioskan LUX multimode reader
Thermo Fisher Scientific - IN-DEPTH FOCUS: Screening
- APPLICATION NOTE: Screening for inhibitors of PD-1 and PD-L1 binding with AlphaLISA technology
PerkinElmer - APPLICATION NOTE: Next-generation sequencing sample preparation on the Thermo Scientific KingFisher platform
Thermo Fisher Scientific - PROTEOMICS: Proteogenomics research – on the frontier of precision medicine
Alicia Landeira, Rodrigo Garcia-Valiente, Maria Gonzalez-Gonzalez, Javier Carabias, Jonatan García, Rafael Góngora, Paula Diez and Manuel Fuentes, University of Salamanca - IN-DEPTH FOCUS: Hit to lead
- METABOLIC DISEASE: Patient-derived neural progenitor cells as a drug discovery model for mitochondrial diseases
Carmen Lorenz, Max Delbrück Center for Molecular Medicine (MDC) and Berlin Institute of Health (BIH); Gizem Inak and Alessandro Prigione, Max Delbrück Center for Molecular Medicine (MDC) - IN-DEPTH FOCUS: Informatics
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Related topics
Drug Discovery, Drug Targets, Hit-to-Lead, Proteogenomics, Proteomics, Screening
