Researcher
Dimitri Boeckaerts
- Disciplines:Machine learning and decision making, Synthetic biology, Computational biomodelling and machine learning, Development of bioinformatics software, tools and databases, Other biotechnology, bio-engineering and biosystem engineering not elsewhere classified, Applied mathematics in specific fields, Programming languages, Scientific computing
Affiliations
- Department of Biotechnology (Department)
Member
From1 Jan 2019 → Today - Department of Data analysis and mathematical modelling (Department)
Member
From1 Oct 2018 → Today
Projects
1 - 1 of 1
- A digital phagogram for personalized phage therapyFrom1 Nov 2019 → 31 Oct 2023Funding: FWO Strategic Basic Research Grant
Publications
1 - 8 of 8
- Foundation of the Belgian Society for Viruses of Microbes and meeting report of its inaugural symposium(2023)
Authors: Agnieszka Łątka, Abram Aertsen, Dimitri Boeckaerts, Bob Blasdel, Pieter-Jan Ceyssens, Abel Garcia-Pino, Annika Gillis, Rob Lavigne, Gipsi Lima-Mendez, Jelle Matthijnssens, et al.
- CkP1 bacteriophage, a S16-like myovirus that recognizes Citrobacter koseri lipopolysaccharide through its long tail fibers(2023)
Authors: Hugo Oliveira, Silvio Santos, Diana P. Pires, Dimitri Boeckaerts, Graca Pinto, Rita Domingues, Jennifer Otero, Yves Briers, Rob Lavigne, Mathias Schmelcher, et al.
Pages: 3621 - 3636 - The specific capsule depolymerase of phage PMK34 sensitizes Acinetobacter baumannii to serum killing(2022)
Authors: Karim Abdelkader, Diana Gutierrez Fernandez, Agnieszka Łątka, Dimitri Boeckaerts, Zuzanna Drulis-Kawa, Bjorn Criel, Hans Gerstmans, Amal Safaan, Ahmed S. Khairalla, Yasser Gaber, et al.
- Identification of phage receptor-binding protein sequences with hidden Markov models and an extreme gradient boosting classifier(2022)
Authors: Dimitri Boeckaerts, Michiel Stock, Bernard De Baets, Yves Briers
- Digital phagograms : predicting phage infectivity through a multilayer machine learning approach(2022)
Authors: Cédric Lood, Dimitri Boeckaerts, Michiel Stock, Bernard De Baets, Rob Lavigne, Vera van Noort, Yves Briers
Pages: 174 - 181 - Machine learning to assist in large-scale, activity-based synthetic cannabinoid receptor agonist screening of serum samples(2022)
Authors: Liesl Janssens, Dimitri Boeckaerts, Simon Hudson, Daria Morozova, Annelies Cannaert, David M. Wood, Caitlin Wolfe, Bernard De Baets, Michiel Stock, Paul, I Dargan, et al.
Pages: 906 - 916 - Predicting bacteriophage hosts based on sequences of annotated receptor-binding proteins(2021)
Authors: Dimitri Boeckaerts, Michiel Stock, Bjorn Criel, Hans Gerstmans, Bernard De Baets, Yves Briers
- Crowdsourced mapping of unexplored target space of kinase inhibitors(2021)
Authors: Anna Cichonska, Balaguru Ravikumar, Robert J. Allaway, Fangping Wan, Sungjoon Park, Olexandr Isayev, Shuya Li, Michael Mason, Andrew Lamb, Ziaurrehman Tanoli, et al.