title: Understanding human rhinovirus infections in terms of QSAR.
abstract: The human rhinoviruses (HRVs) are the single most important cause of common colds. The widespread nature of this affliction, the economic consequences, and the well-known impracticality of vaccine development due to the large number of HRV serotypes (>100) have justified the search for chemotherapeutic agents. The interest in the application of quantitative structure-activity relationships has steadily increased in recent decades and we hope it may be useful in the search for anti-HRV agents. In the present paper, we have discussed the inhibition of various six compound series against HRV-1A, -1B, -2, -9, -14, -21, -22, -25, -64, and -89 by the formulation of a total number of 14 QSAR. Hydrophobicity is found to be one of the most important determinants of activity. Parabolic correlation with the hydrophobic parameter (Eq. ) is an encouraging example, where the optimal hydrophobicity is well defined. We believe that this may be the predictive model to narrow the synthetic challenges in order to yield very specific HRV-2 inhibitors. On the basis of this model, we have predicted eleven compounds (I-1 to I-11) that may be the next synthetic target. The proposed molecules (I-1 to I-11) also fulfill the conditions of Lipinski's "rule of five".
authors.affiliation: Department of Chemistry, Pomona College, 645 North College Avenue, Claremont, CA 91711, USA. rverma@pomona.edu
authors.forename: Rajeshwar P
authors.initials: RP
authors.lastname: Verma
authors.forename: Corwin
authors.initials: C
authors.lastname: Hansch
mesh_terms: D000998:Antiviral Agents / Q000737:chemistry* / Q000494:pharmacology*; D019295:Computational Biology; D006801:Humans; D057927:Hydrophobic and Hydrophilic Interactions; D015394:Molecular Structure; D010850:Picornaviridae Infections / Q000821:virology*; D021281:Quantitative Structure-Activity Relationship; D012229:Rhinovirus / Q000187:drug effects*; D013223:Statistics as Topic
chemical_list: D000998:Antiviral Agents