Quantitative considerations to gather maximum information from viral growth efficiency studies: the example of polyomavirus type BK (BKV).
This short communication shows how the application of simple mathematical formulae allows researchers to extract maximum information from viral growth efficiency studies at virtually no additional costs (in terms of time or money), thus improving the comparability of results (growth rates, replicative capacities, efficacies of antivirals) between in vitro and in vivo growth efficiency studies. This could help in elucidating kinetic links between the molecular basis of virus function and clinical findings.
Funk
Georg A
GA
Competence Center for Computational Sciences (CCCS), Biocenter/Pharmacenter, Klingelbergstrasse 50/70, CH-4056 Basel, Switzerland. g.funk@unibas.ch
D000818:Animals; D002522:Chlorocebus aethiops; D006801:Humans; D008962:Models, Theoretical; D011120:Polyomavirus / Q000187:drug effects / Q000254:growth & development* / Q000302:isolation & purification / Q000472:pathogenicity; D027601:Polyomavirus Infections / Q000821:virology*; D014556:Urine / Q000821:virology; D014709:Vero Cells; D019562:Viral Load; D014774:Virulence; D014779:Virus Replication