computational drug designer with a passion for method developing of user-friendly and reliable software for computational drug design. Due to the pharmaceutical background posses a strong foundation in pharmacy and chemistry coupled self-obtained skills in software development and engineering with additional experience in AI-driven drug design. Always eager to learn new methods and improve his skills.
Developed a new MDAKits package for the MDAnalysis:
Author and maintainer
Discovery of novel TLR9 Antagonists through Machine learning with further selectivity prediction towards TLR7/8
Pathway unbinding prediction of TLR8 Agonists and Antagonists
Homology modelling and MD simulations of histamine receptor dimers
Peptide synthesis
Docking & Virtual screening
Synthesis of drugs against schistosomiasis
Synthesis of drugs against schistosomiasis
For second semester pharmacy students
For third semester pharmacy students
Video-games, watching movies, playing bass guitar, formula 1. Also developing and working on open-source tools such as OpenMMDL, MDonatello, or MDAnalysis.