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Drug discovery is a multifaceted process involving extensive screening, testing, and optimization of lead compounds to identify potential new drugs for therapeutic use. It combines several approaches, including screening large numbers of natural products, chemical modification of known active molecules, identification of new drug targets, and rational design based on biological mechanisms and drug-receptor structure. These approaches are carried out in both academic research laboratories and...

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Nano-Differential Scanning Fluorimetry for Screening in Fragment-based Lead Discovery

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Network approaches to drug discovery.

Nagasuma Chandra¹, Jyothi Padiadpu

¹Indian Institute of Science, Department of Biochemistry, Bangalore - 560012 , India. nchandra@biochem.iisc.ernet.in

Expert Opinion on Drug Discovery

|November 13, 2012

Summary

Molecular interaction networks offer a new paradigm in drug discovery. These networks help understand disease mechanisms, identify drug targets, and explore personalized medicine strategies.

Area of Science:

Systems biology
Computational biology
Pharmacology

Background:

Genomics technologies generate vast data on gene expression, protein interactions, and metabolites.
Molecular interaction networks are crucial for comprehending complex biological data.
Large-scale molecular networks aid in understanding disease underpinnings.

Purpose of the Study:

To explore network approaches for drug target discovery and lead identification.
To illustrate network applications in understanding disease relationships, biomarkers, and drug resistance.
To examine network considerations for off-target effects, drug combinations, and safety.

Main Methods:

Reconstruction of molecular networks including targets, drugs, and gene expression profiles.

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Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System

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Nano-Differential Scanning Fluorimetry for Screening in Fragment-based Lead Discovery

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Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System

Drug Repurposing Hypothesis Generation Using the "RE:fine Drugs" System

Published on: December 11, 2016

Analysis of networks under normal and disease conditions.

Investigation of networks addressing specific drug discovery challenges.

Main Results:

Identification of relationships between different diseases.
Discovery of potential biomarkers for disease states.
Exploration of drug repurposing opportunities and mechanisms of drug resistance.

Conclusions:

Network approaches represent a paradigm shift in drug discovery.
Networks provide a cellular context for understanding protein function and guiding drug design.
Networks facilitate novel strategies like drug repositioning, polypharmacology, and personalized medicine.