A molecular informatics view on best practice in multi-parameter compound optimization

The difference between biologically active molecules and drugs is that the latter balance an array of related and unrelated properties required for administration to patients. Inevitability, during optimization, some of these multiple factors will conflict. Although informatics has a crucial role in...

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Veröffentlicht in:Drug discovery today 2011-07, Vol.16 (13), p.555-568
Hauptverfasser: Lusher, Scott J., McGuire, Ross, Azevedo, Rita, Boiten, Jan-Willem, van Schaik, Rene C., de Vlieg, Jacob
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container_end_page 568
container_issue 13
container_start_page 555
container_title Drug discovery today
container_volume 16
creator Lusher, Scott J.
McGuire, Ross
Azevedo, Rita
Boiten, Jan-Willem
van Schaik, Rene C.
de Vlieg, Jacob
description The difference between biologically active molecules and drugs is that the latter balance an array of related and unrelated properties required for administration to patients. Inevitability, during optimization, some of these multiple factors will conflict. Although informatics has a crucial role in addressing the challenges of modern compound optimization, it is arguably still undervalued and underutilized. We present here some of the basic requirements of multi-parameter drug design, the crucial role of informatics and examples of favorable practice. The most crucial of these best practices are the need for informaticians to align their technologies and insights directly to discovery projects and for all scientists in drug discovery to become more proficient in the use of in silico methods.
doi_str_mv 10.1016/j.drudis.2011.05.005
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source MEDLINE; ScienceDirect Journals (5 years ago - present)
subjects Alignment
Arrays
Biological and medical sciences
Computational Biology - methods
Computer Simulation
Drug Design
Drug Discovery - methods
Drugs
General pharmacology
Humans
Medical sciences
Models, Molecular
Optimization
Patients
Pharmaceutical technology. Pharmaceutical industry
Pharmacology. Drug treatments
Scientists
title A molecular informatics view on best practice in multi-parameter compound optimization
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