|About this Abstract
||2017 TMS Annual Meeting & Exhibition
||Bio-Nano Interfaces and Engineering Applications
||Designing Peptides with Antimicrobial Properties using Rules of Induction
||Kyle Boone, Kyle Vincent Camarda, Candan Tamerler
|On-Site Speaker (Planned)
The emergence of multi-drug resistant bacteria has become a major concern in recent decades. On the other hand, many biological organisms have been relying on antimicrobial peptides to fight off bacterial infections through innate immunity responses. As an example of recent antimicrobial peptide design, we have demonstrated their utilization as novel localizable molecules onto medical implant surfaces with bactericidal effect. Further development of peptides with targeted properties can be offered using a computer-assisted molecular design (CAMD) problem. Many databases for antimicrobial peptides provide sequences for quantitative sequence-activity models solving the forward problem in CAMD. We built a method for classifying antibacterial sequences using descriptive classifiers from rule induction. In addition, we combine the classification technique with a genetic algorithm to solve the reverse problem of CAMD. Our model presented here provides a method to design novel antimicrobial peptides through rule induction by discovering sequence-function relationships building upon chemical property analysis.
||Planned: Supplemental Proceedings volume