Considerations for designing the in vitro surveillance database to support the development of antibacterial agents include the choice of pathogens to study, the sample size of isolate collections needed, and target patient populations from which clinical isolates should be collected.
This includes the development of in vitro testing databases for hundreds of assays and thousands of chemicals in the ToxCast and Tox21 programs (Attene-Ramos et al. 2013; Kavlock et al. 2012).
Study design: All patients who underwent adnexal surgery in our department during an 8-year period (all records were obtained from the hospital database between January 1991 and December 1998) were cross-matched with our in vitro fertilization (IVF) database.
The gene was cloned and the recombinant protein was active in vitro, verifying the database annotation.
Finally, from a translational point of view, it is interesting to note that the publicly available NCI-60 in vitro drug-screening database includes six breast cancer cell lines, four of which are claudin-low (BT549, MDA-MB-231, MDA-MB-435 and Hs578T) and two of which are luminal (MCF-7 and T47D).
For example, Eckert et al. [24] only reached an 18.2% conversion rate in a P. taeda mapping pedigree, using in vitro SNPs from a database that did not include any sequences of the parental lines of the mapping population.
We integrate prediction databases, compare predictions to in vitro data, and use cross-database predictions to model the microRNA:transcript interactome – referred to as the micronome – to study microRNA involvement in well-known signalling pathways as well as associations with disease.
To better serve this goal and to allow In silico analysis of In vitro assays, we linked the database with an integrated QSAR modeling framework.
Recently, Metushi et al. [42] conducted a full in silico to in vitro screening of the ZINC database searching for activity at the HLA-B*57 01 HLA-B*57 01
