Enes Seyfullah KOTIL

Education: 
  • BSc: Rensselaer Polytechnic Institute
  • MSc: Rensselaer Polytechnic Institute
  • PhD: University of Illinois Urbana-Champaign
  • Postdoc: University of Wisconsin-Madison
Research Interests: 
  • Computational Biology
  • Antibiotic Resistance
  • Epidemiology

 

Research


The Kotil Lab is dedicated to exploring the realms of both experimental and theoretical biology. Our research delves into critical issues such as antibiotic resistance, microbial diversity, and epidemiology. To achieve a comprehensive understanding, we employ a blend of molecular biology techniques alongside mathematical methodologies. Our interdisciplinary approach is aimed at enhancing our insights into these complex biological phenomena.

 

Selected Publications


  • Tunc, Huseyin, Berna Dogan, Büşra Nur Darendeli Kiraz, Murat Sari, Serdar Durdagi, and Seyfullah Kotil. "Prediction of HIV-1 protease resistance using genotypic, phenotypic, and molecular information with artificial neural networks." PeerJ 11 (2023): e14987.
  • Erol, Ismail, Seyfullah Enes Kotil, Ozkan Fidan, Ahmet E. Yetiman, Serdar Durdagi, and Fatih Ortakci. "In silico analysis of bacteriocins from lactic acid bacteria against SARS-CoV-2." Probiotics and antimicrobial proteins 15, no. 1 (2023): 17-29.
  • Kotil, Seyfullah Enes, and Kalin Vetsigian. "Investigating the eco-evolutionary tunnels for establishing cooperative communities." Mathematical Biosciences 356 (2023): 108959.
  • Nashebi, Ramin, Murat Sari, and Seyfullah Kotil. "Using a real-world network to model the trade-off between stay-at-home restriction, vaccination, social distancing and working hours on COVID-19 dynamics." PeerJ 10 (2022): e14353.
  • Kotil, Seyfullah Enes, and Kalin Vetsigian. "Emergence of evolutionarily stable communities through eco-evolutionary tunnelling." Nature ecology & evolution 2, no. 10 (2018): 1644-1653.
  • Kotil, Seyfullah, and Eric Jakobsson. "Rationally designing antisense therapy to keep up with evolving bacterial resistance." PloS one 14, no. 1 (2019): e0209894.