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    HIV-1 reverse transcriptase inhibition by a dipyridodiazepinone derivative: BI-RG-587

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    The dipyridodiazepinone derivative 6,11-dihydro-11-cyclopropyl-4-methyldipyrido[2,3-b:2',3'-e]-[1,4] diazepin-6-one (BI-RG-587) selectively inhibits human immunodeficiency virus type 1 (HIV-1) replication by suppressing HIV-1 reverse transcriptase activity. Both RNA- and DNA-dependent polymerase associated activities of this enzyme were found to be inhibited by BI-RG-587 in a pattern dependent on the template used. The lowest IC50 values were obtained using poly(rC)-oligo(dG)12-18 and poly(dA)-oligo(dT)12-18 as template-primer. For the RNA-dependent activity poly(rC)-oligo(dG)12-18 and dGTP appeared to enhance the inhibition of the RNA-dependent enzyme activity by BI-RG-587, with the effect of poly(rC)-oligo(dG)12-18 dominating that of dGTP. Poly(rA)-oligo(dT)10 seemed to decrease the inhibition whereas poly(rU)-oligo(dA)12-18 or poly(rG)-oligo-(dC)12-18 had no effect. dATP, dTTP and dCTP, three nucleotide triphosphates, also had no impact on the inhibition. Differences were observed for the template-dependent action of BI-RG-587 against the DNA-dependent enzyme activity. Both substrates were required to allow the inhibition by BI-RG-587 in the poly(dC)-oligo(dG)12-18 and dGTP reaction, whereas only the template and enzyme interaction seemed to be necessary for the poly(dA)-oligo(dT)12-18 and dTTP reaction. The different behaviors of DNA- and RNA-dependent DNA polymerase activities could indicate either the presence of different active sites for distinct activities or the presence of a unique active site with different configurations depending upon the template used. Also, BI-RG-587 showed a mutually exclusive inhibition when combined with two other classes of HIV-1 RT inhibitors represented by phosphonoformic acid and 3'-azido-3'-dideoxythymidine triphosphate

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
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