Using Theoretical Descriptors in Quantitative Structure-Activity Relationships: Opiate Receptor Activity by Fentanyl-like Compounds

The number of applications of computational techniques to medicinal chemistry is growing rapidly. Quantitative Structure-Activity Relationships (QSAR) have been used very successfully to correlate structural features to biological activities. A type of QSAR, Linear Solvation Energy Relationships (LSER) has been used to correlate a large number and wide variety of biological properties. Famini and Wilson have developed a theoretical extension of the LSER, called the TLSER, that incorporates only computationally derived descriptors. We have applied the TLSER methodology to a series of fentanyl-like compounds that exhibit activity at the opiate receptor. TLSER correlations of the entire data set, as well as specific subsets are considered.

[1]  L B Kier,et al.  Molecular connectivity. I: Relationship to nonspecific local anesthesia. , 1975, Journal of pharmaceutical sciences.

[2]  S. Gupta QSAR studies on enzyme inhibitors , 1987 .

[3]  C. Hansch Quantitative approach to biochemical structure-activity relationships , 1969 .

[4]  W R Martin,et al.  Pharmacology of opioids. , 1983, Pharmacological reviews.

[5]  George R. Famini,et al.  Linear Solvation Energy Relationships. Local Empirical Rules - or Fundamental Laws of Chemistry? The Dialogue Continues. A Challenge to the Chemometricians. , 1987 .

[6]  M. Randic Characterization of molecular branching , 1975 .

[7]  Michael H. Abraham,et al.  Linear solvation energy relationships. 23. A comprehensive collection of the solvatochromic parameters, .pi.*, .alpha., and .beta., and some methods for simplifying the generalized solvatochromic equation , 1983 .

[8]  George R. Famini,et al.  Using Theoretical Descriptors Tn St13ucture Activity Relationships: Acetylcholtnesterase Inhibition , 1990, [1990] Proceedings of the Twelfth Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[9]  R. Silverman,et al.  A mechanism for mitochondrial monoamine oxidase catalyzed amine oxidation , 1980 .

[10]  D. Thorpe Opiate Structure and Activity—A Guide to Understanding the Receptor , 1984, Anesthesia and analgesia.

[11]  M. Dewar,et al.  Ground States of Molecules. 38. The MNDO Method. Approximations and Parameters , 1977 .

[12]  G.R. Famini,et al.  Using theoretical descriptors in quantitative structure activity relationships , 1989, Images of the Twenty-First Century. Proceedings of the Annual International Engineering in Medicine and Biology Society,.

[13]  James J. P. Stewart,et al.  A new procedure for calculating molecular polarizabilities; applications using MNDO , 1984 .

[14]  Orest T. Macina,et al.  Computer automated structure evaluation of opiate alkaloids , 1986 .

[15]  James W. King,et al.  Using theoretical descriptors in quantitative structure-activity relationships : comparison with the molecular transform , 1991 .

[16]  A. Hopfinger A QSAR investigation of dihydrofolate reductase inhibition by Baker triazines based upon molecular shape analysis , 1980 .

[17]  S H Snyder,et al.  The opiate receptor: a model explaining structure-activity relationships of opiate agonists and antagonists. , 1976, Proceedings of the National Academy of Sciences of the United States of America.

[18]  D. Lewis,et al.  Molecular orbital calculations on solvents and other small molecules: Correlation between electronic and molecular properties ν, αMOL, π*, and β. , 1987 .

[19]  R. Taft,et al.  Linear solvation energy relationships. Local empirical rules-or fundamental laws of chemistry? A reply to the chemometricians , 1986 .

[20]  George R. Famini,et al.  Using theoretical descriptors in quantitative structure-activity relationships: some toxicological indices. , 1991, Journal of medicinal chemistry.

[21]  Michel Chanon,et al.  Approach to a general classification of solvents using a multivariate statistical treatment of quantitative solvent parameters , 1985 .