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Computer‐Assisted Molecular Modeling: Indispensable Tools for Molecular Pharmacology
Author(s) -
Bowen J. Phillip,
Charifson Paul S.,
Fox Peter C.,
Kontoyianni Maria,
Miller Aaron B.,
Schnur Dora,
Stewart Eugene L.,
Dyke Christopher
Publication year - 1993
Publication title -
the journal of clinical pharmacology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.92
H-Index - 116
eISSN - 1552-4604
pISSN - 0091-2700
DOI - 10.1002/j.1552-4604.1993.tb03915.x
Subject(s) - computer science , computer graphics , graphics , software , action (physics) , molecular graphics , data science , artificial intelligence , physics , computer graphics (images) , quantum mechanics , programming language
Ball‐and‐stick mechanical models, typically associated with chemists, have been helpful in understanding structural problems and the relationship between structure and biologic activity. With progress in computer speed, graphics performance, and software innovation, molecules of biological interest can be subjected to rigorous calculations. Computational chemistry and biology are rooted in the belief that theoretical physics can be used to calculate accurate molecular structures. Although in its infancy, computer‐assisted molecular modeling is gaining attention and acceptability as an increasing number of researchers turn their attention toward rational molecular design. The trend to use theoretical methods can be traced to the greater availability of computer graphics workstations, decreasing computer costs, faster central processing units, more robust algorithms, and “user‐friendly” software codes. Every major pharmaceutical company has invested in these resources to reduce the time it takes to design and develop pharmaceutical agents. Because of the vast financial and manpower investments needed to introduce a single drug, medicinal chemists and pharmacologists are interested in understanding and predicting drug action at the molecular level. Although drug action is still poorly understood, molecular modeling should reduce some of the labor in the development of pharmaceutical agents.

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