Drug Discovery and Early Drug Development

Drug Development and Conservation of Biodiversity in West and Central Africa: Performance of Neurochemical and Radio Receptor Assays of Plant Extracts Drug Discovery for the Central Nervous System

10.21236/ada474867 ◽

2004 ◽

Author(s):

Simon Efange ◽

Deborah C. Mash

Keyword(s):

Central Nervous System ◽

Nervous System ◽

Drug Discovery ◽

Drug Development ◽

Plant Extracts ◽

Central Africa ◽

West And Central Africa ◽

The Central Nervous System ◽

Receptor Assays ◽

Conservation Of Biodiversity

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High throughput P450 inhibition screens in early drug discovery

Drug Discovery Today ◽

10.1016/s1359-6446(05)03580-4 ◽

2005 ◽

Vol 10 (21) ◽

pp. 1443-1450 ◽

Cited By ~ 71

Author(s):

Gregor Zlokarnik ◽

Peter D.J. Grootenhuis ◽

John B. Watson

Keyword(s):

Drug Discovery ◽

High Throughput ◽

Early Drug

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Strategic applications of toxicogenomics in early drug discovery

Current Opinion in Pharmacology ◽

10.1016/j.coph.2008.07.011 ◽

2008 ◽

Vol 8 (5) ◽

pp. 654-660 ◽

Cited By ~ 24

Author(s):

T RYAN ◽

J STEVENS ◽

C THOMAS

Keyword(s):

Drug Discovery ◽

Early Drug

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How Can We Tie Drug Development Seeds to Clinical ?^|^mdash;For Succeeding in Drug Discovery by Academia^|^mdash;

YAKUGAKU ZASSHI ◽

10.1248/yakushi.12-00246-f ◽

2013 ◽

Vol 133 (2) ◽

pp. 181-182

Author(s):

Taisuke Hojo ◽

Masatoshi Narita

Keyword(s):

Drug Discovery ◽

Drug Development

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9th EUFEPS Conference on Optimising Drug Development: Use of biomarkers from drug discovery through clinical practice

European Journal of Pharmaceutical Sciences ◽

10.1016/s0928-0987(01)00188-9 ◽

2001 ◽

Vol 14 (3) ◽

pp. 255-256

Keyword(s):

Clinical Practice ◽

Drug Discovery ◽

Drug Development

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Application of electroretinography (ERG) in early drug development for assessing retinal toxicity in rats

Toxicology and Applied Pharmacology ◽

10.1016/j.taap.2015.10.008 ◽

2015 ◽

Vol 289 (3) ◽

pp. 525-533 ◽

Cited By ~ 6

Author(s):

Wenhu Huang ◽

Walter Collette ◽

Michelle Twamley ◽

Shirley A. Aguirre ◽

Aida Sacaan

Keyword(s):

Drug Development ◽

Retinal Toxicity ◽

Early Drug

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Model-based Target Pharmacology Assessment (mTPA): An Approach Using PBPK/PD Modeling and Machine Learning to Design Medicinal Chemistry and DMPK Strategies in Early Drug Discovery

Journal of Medicinal Chemistry ◽

10.1021/acs.jmedchem.0c02033 ◽

2021 ◽

Vol 64 (6) ◽

pp. 3185-3196

Author(s):

Emile P. Chen ◽

Robert W. Bondi ◽

Paul J. Michalski

Keyword(s):

Machine Learning ◽

Drug Discovery ◽

Medicinal Chemistry ◽

Model Based ◽

Early Drug

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Role of Bioinformatics in Early Drug Discovery: An Overview and Perspective

10.1002/9781119654803.ch3 ◽

2021 ◽

pp. 49-67

Author(s):

Shasank S. Swain ◽

Tahziba Hussain

Keyword(s):

Drug Discovery ◽

Early Drug

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Application of Quantitative Biomeasures in Early Drug Discovery

Translating Molecular Biomarkers into Clinical Assays - AAPS Advances in the Pharmaceutical Sciences Series ◽

10.1007/978-3-319-40793-7_4 ◽

2016 ◽

pp. 37-46

Author(s):

Scott T. Fountain ◽

Paolo Vicini

Keyword(s):

Drug Discovery ◽

Early Drug

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An integrated dataset for in silico drug discovery

Journal of Integrative Bioinformatics ◽

10.1515/jib-2010-116 ◽

2010 ◽

Vol 7 (3) ◽

Cited By ~ 13

Author(s):

Simon J Cockell ◽

Jochen Weile ◽

Phillip Lord ◽

Claire Wipat ◽

Dmytro Andriychenko ◽

...

Keyword(s):

Systems Biology ◽

Drug Discovery ◽

Drug Development ◽

Data Integration ◽

In Silico ◽

Drug Repositioning ◽

Integrated Systems ◽

Integration Platform ◽

Treatment Indications ◽

New Treatment

SummaryDrug development is expensive and prone to failure. It is potentially much less risky and expensive to reuse a drug developed for one condition for treating a second disease, than it is to develop an entirely new compound. Systematic approaches to drug repositioning are needed to increase throughput and find candidates more reliably. Here we address this need with an integrated systems biology dataset, developed using the Ondex data integration platform, for the in silico discovery of new drug repositioning candidates. We demonstrate that the information in this dataset allows known repositioning examples to be discovered. We also propose a means of automating the search for new treatment indications of existing compounds.

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