<h2style="margin-top: 10vh;">Reverse Protein Search for PFAS Interaction</h2>
<p> Our team used seven reverse screening databases to identify proteins that interacted with PFAS Chemicals. These were the reverse screening databases used for this research: SuperPred (1), Pharmapper(2), Swissprot(3), SwissTargetPredict(4), TargetNet (5), SEA (6), and Stitch (7). Our team divided into groups and created a database consisting of a list of proteins that interact with PFAS with the highest probability of interaction and the function of the protein which allowed us to form the basis for the molecular modeling we would do in the future with platforms like V-Cell and OpenMM (Insilico part of research). Our database can been seen here.</p>
<p>These reverse screening databases were crucial in allowing our team to get a sense of what proteins interacted with a desired molecule. By using a SMILE string input of a molecule, the databases gave us three key pieces of information for further research: Name of protein, probability of interaction, and function of protein. With these given information, teams will be able to research deeply in wha roles the proteins partake in, where they are located, and more. For contribution, these reverse screening databases can be a great way for teams to identify a specific target proteins related to their desired molecule in their iGEM research.</p>
<p>The links to the reverse screening databases are down below</p>
