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\title{Bio-Strike}


\author{Rüdiger Trojok}
\affil{Affiliation not available}



\date{\today}

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\section{Scenarios}\label{scenarios}

Citizens thought of three possible scenarios of how to detect antibiotic
substances from samples collected in the field (Fig.1). The three ways
are: I) the classical molecular biology approach, II) the systems
biology approach and III) the synthetic biology approach.

Fig. 1: Three scenarios for Biostrike antibiotics discovery. Description
of scenarios see table 1 to 3

To successfully decentralize the screening, a platform technology to
standardize methods and ways to analyze experimental results needs to be
developed. This is true for all the scenarios described. Such a
technology has to be cheap, easy to distribute around the world, usable
on-site where the samples are taken and connected to a Bio-Strike
database for further analysis of the sampled data. Ideally, the tool-set
would give feedback to the researcher right away whether a screened
substance has antimicrobial properties or not, to allow the researcher
on the site to screen as many samples as possible. To allow for further
refinements of the methods, the platform technology should be flexible
and adaptable. Beside these hardware and wetware challenges, the skills
and crafts to make good use of the data need to be transferred to all
the researchers involved. Subsequent to the decentralized screening,
centralized analysis of the findings is needed. To date, there is no
technology available to decentralize DNA synthesis. Therefore, all steps
after the identification of a promising biosynthetic pathway of an
antimicrobial substance need to be made in specialized laboratories able
to perform high throughput cloning, transformation, and especially
analysis of the synthesized substances. If the screening is successful
and the specialized laboratories manage to synthesize the substance of
interest, clinical trials can be launched. If these, too, are
successful, new antibiotics can be produced. Eventually, the centralized
methods described in the presented scenarios can also be decentralized.
With progressing technology, laboratory equipment will become smaller,
more efficient, and cheaper. There are predictions that before 2030, the
most  

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