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What is Drug Discovery

Handbook of Research on Computational and Systems Biology: Interdisciplinary Applications
Identify new compounds to target one or more proteins related to a disease with therapeutic effects.
Published in Chapter:
Using Functional Linkage Gene Networks to Study Human Diseases
Bolan Linghu (Novartis Institutes for BioMedical Research, USA), Guohui Liu (Millennium Pharmaceuticals Inc, USA), and Yu Xia (Boston University, USA)
DOI: 10.4018/978-1-60960-491-2.ch012
Abstract
A major challenge in the post-genomic era is to understand the specific cellular functions of individual genes and how dysfunctions of these genes lead to different diseases. As an emerging area of systems biology, gene networks have been used to shed light on gene function and human disease. In this chapter, first the existence of functional association for genes working in a common biological process or implicated in a common disease is demonstrated. Next, approaches to construct the functional linkage gene network (FLN) based on genomic and proteomic data integration are reviewed. Finally, two FLN-based applications related to diseases are reviewed: prediction of new disease genes and therapeutic targets, and identification of disease-disease associations at the molecular level. Both of these applications bring new insights into the molecular mechanisms of diseases, and provide new opportunities for drug discovery.
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Leveraging Cloud Computing for Healthcare: Opportunities and Challenges
Drug discovery is the systematic process of identifying and developing new medicines to treat various medical conditions. It involves multiple stages, from target identification to clinical trials, conducted by pharmaceutical and biotechnology researchers. The goal is to find safe and effective treatments by addressing the underlying causes or symptoms of diseases, but it often takes many years of research and testing to bring a new drug to market.
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A Graphical Workflow Modeler for Docking Process in Drug Discovery
From computer science aspect, drug discovery is a complex computational process by which drugs are discovered and/or designed based on the knowledge that how disease and infection are controlled at the molecular and physiological level. The process of drug discovery involves the identification of candidates, synthesis, characterization, screening, and assays for therapeutic efficacy, most of which need to deal with large amount of data and computation. Once a compound has shown its value in these tests, it will be regarded as a drug candidate for drug development.
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Medication Discovery Using Neural Networks
It is the cycle through which potential new remedial substances are distinguished, utilizing a blend of computational, exploratory, translational, and clinical models.
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ALBA Cooperative Environment for Scientific Experiments
Forecasting of the properties of a candidate new drug on the basis of a computed combination of the known properties of its main constituents.
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