ASSAY and Drug Development Technologies

基本信息

期刊简写: ASSAY DRUG DEV TECHN
影响因子: 1.6
ISSN: 1540-658X
研究领域: MEDICAL
h-index: 52
自引率: 6.2%
年发文量: 30

SCI收录来源: Science Citation Index Expanded
期刊介绍:

ASSAY and Drug Development Technologies provides access to novel techniques and robust tools that enable critical advances in early-stage screening. This research published in the Journal leads to important therapeutics and platforms for drug discovery and development. This reputable peer-reviewed journal features original papers application-oriented technology reviews, topical issues on novel and burgeoning areas of research, and reports in methodology and technology application. ASSAY and Drug Development Technologies coverage includes: Assay design, target development, and high-throughput technologies Hit to Lead optimization and medicinal chemistry through preclinical candidate selection Lab automation, sample management, bioinformatics, data mining, virtual screening, and data analysis Approaches to assays configured for gene families, inherited, and infectious diseases Assays and strategies for adapting model organisms to drug discovery The use of stem cells as models of disease Translation of phenotypic outputs to target identification Exploration and mechanistic studies of the technical basis for assay and screening artifacts The Journal also features a dedicated Drug Repurposing, Rescue, and Repositioning (DRRR) section. These special peer-reviewed collections of papers present techniques and tools for finding new uses for approved drugs – particularly for disorders where no animal model, physiologic abnormality, biochemical pathway, or molecular target has been identified. This DRRR special section features original papers, application-oriented technology reviews, and reports in methodology and technology application to drug repurposing and redevelopment including: Designing assays and interpreting output to enable alternate drug target identification Pathway analysis and bioinformatics to identify and exploit drug promiscuity In silico technologies to identify alternate drug targets "Big Data" mining and side effect pattern analysis in clinical and healthcare repositories

CiteScore

CiteScore
3.6
SJR
0.317
SNIP
0.525
学科 排名 百分位
Pharmacology, Toxicology and PharmaceuticsDrug Discovery
93 / 146 36%

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