Michael Tartakovsky

Publication Activity (10 Years)

Years Active: 2016-2022
Publications (10 Years): 5

Top Topics

Machine Learning

High Throughput

Decision Tree Learners

Top Venues

Nucleic Acids Res.

IEEE ACM Trans. Comput. Biol. Bioinform.

Briefings Bioinform.

J. Chem. Inf. Model.

Publications

Boris Vishnepolsky, Maya Grigolava, Grigol Managadze, Andrei Gabrielian, Alex Rosenthal, Darrell E. Hurt, Michael Tartakovsky, Malak Pirtskhalava
Comparative analysis of machine learning algorithms on the microbial strain-specific AMP prediction. Briefings Bioinform. 23 (4) (2022)
Malak Pirtskhalava, Anthony A. Amstrong, Maia Grigolava, Mindia Chubinidze, Evgenia Alimbarashvili, Boris Vishnepolsky, Andrei E. Gabrielian, Alex Rosenthal, Darrell E. Hurt, Michael Tartakovsky
DBAASP v3: database of antimicrobial/cytotoxic activity and structure of peptides as a resource for development of new therapeutics. Nucleic Acids Res. 49 (Database-Issue) (2021)
Roman Sergeev, Ivan Kavaliou, Uladzislau V. Sataneuski, Andrei E. Gabrielian, Alex Rosenthal, Michael Tartakovsky, Alexander V. Tuzikov
Genome-Wide Analysis of MDR and XDR Tuberculosis from Belarus: Machine-Learning Approach. IEEE ACM Trans. Comput. Biol. Bioinform. 16 (4) (2019)
Boris Vishnepolsky, Andrei E. Gabrielian, Alex Rosenthal, Darrell E. Hurt, Michael Tartakovsky, Grigol Managadze, Maia Grigolava, George I. Makhatadze, Malak Pirtskhalava
Predictive Model of Linear Antimicrobial Peptides Active against Gram-Negative Bacteria. J. Chem. Inf. Model. 58 (5) (2018)
Malak Pirtskhalava, Andrei E. Gabrielian, Phillip Cruz, Hannah L. Griggs, R. Burke Squires, Darrell E. Hurt, Maia Grigolava, Mindia Chubinidze, George Gogoladze, Boris Vishnepolsky, Vsevolod Alekseev, Alex Rosenthal, Michael Tartakovsky
DBAASP v.2: an enhanced database of structure and antimicrobial/cytotoxic activity of natural and synthetic peptides. Nucleic Acids Res. 44 (Database-Issue) (2016)