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Updated: Nov 21, 2025

Sequential Salt Extractions for the Analysis of Bulk Chromatin Binding Properties of Chromatin Modifying Complexes

Sequential Salt Extractions for the Analysis of Bulk Chromatin Binding Properties of Chromatin Modifying Complexes

Published on: October 2, 2017

Selenium and Computational Studies.

Natália Ferreira de Sousa¹, Luciana Scotti¹, Eugene N Muratov¹

¹Postgraduate Program of Natural and Synthetic Bioactive Products (PgPNSB), Health Sciences Center, Federal University of Paraiba, Joao Pessoa-PB, Brazil.

Mini Reviews in Medicinal Chemistry

|January 13, 2021

Summary

This summary is machine-generated.

Computational approaches significantly advance organoselenide research, aiding drug discovery. These methods reduce costs and accelerate the development of novel organoselenides with specific properties.

Keywords:

Ligand-based computational studies.experimental validation organic synthesis selenium compounds structure-based

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Area of Science:

Organoselenide chemistry
Computational chemistry
Medicinal chemistry

Background:

Organoselenides are organic compounds containing sulfur, selenium, or tellurium.
Selenium is an essential nutrient for human health.
Organic synthesis of organoselenides is crucial for developing potential drug candidates.

Purpose of the Study:

To evaluate computational approaches in organoselenide research.
To cover the period from 1999 to 2019.

Main Methods:

A literature review was conducted.
Searches were performed in the Web of Science database.

Main Results:

Most studies focused on structural elucidation and structure-property analysis.
Molecular docking and Quantitative Structure-Activity Relationship (QSAR) studies were also prevalent.

Conclusions:

Computational studies are widely used in organoselenide research.
These approaches reduce research costs and increase efficacy.
They facilitate the discovery of novel organoselenides with desired properties.