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Covalent Fragment Screening Using the Quantitative Irreversible Tethering Assay

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New drug design with covalent modifiers.

Adebayo A Adeniyi¹, Ramesh Muthusamy¹, Mahmoud E S Soliman¹

¹a School of Health Sciences , University of KwaZulu-Natal , Durban 4001 , South Africa.

Expert Opinion on Drug Discovery

|January 13, 2016

Summary

This summary is machine-generated.

Covalent drugs offer advantages in overcoming drug resistance and toxicity by targeting specific protein sites. Future research focuses on in silico screening for rational design of effective covalent inhibitors.

Keywords:

covalent warheads docking high-throughput rational design selectivity

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Area of Science:

Medicinal Chemistry
Drug Discovery
Computational Chemistry

Background:

Drug resistance, mutations, and toxicity pose significant challenges in drug design.
Covalent drugs are emerging as a promising therapeutic strategy due to unique advantages.
These drugs can target rare residues and shallow binding sites, offering prolonged receptor interaction.

Purpose of the Study:

To review the progress in rational design and virtual screening of covalent drugs.
To highlight the potential of in silico screening for predicting effective covalent drugs.

Main Methods:

Review of current literature on covalent drug design.
Analysis of rational design principles and virtual screening techniques.
Discussion of in silico prediction methods for covalent inhibitors.

Main Results:

Significant advancements have been made in the rational design and virtual screening of covalent drugs.
In silico screening shows promise for accurately predicting effective covalent drugs.
Current clinically approved covalent drugs were serendipitously discovered, not systematically designed.

Conclusions:

Systematic design approaches are crucial for discovering novel covalent inhibitors.
High-throughput screening and accurate computational methods can address drug resistance and mutations.
Further research is needed to optimize covalent warheads for enhanced receptor interaction and selectivity.