Data Mining Approach for Extraction of Useful Information About Biologically Active Compounds from Publications. - Olga A. Tarasova; Nadezhda Yu. Biziukova; Dmitry Filimonov; Vladimir Poroikov; Marc C. Nicklaus (J. Chem. Inf. Model., 2019)

Extraction of Data on Parent Compounds and Their Metabolites from Texts of Scientific Abstracts. - Olga A. Tarasova; Nadezhda Yu. Biziukova; Anastassia V. Rudik; Alexander V. Dmitriev; Dmitry Filimonov; Vladimir Poroikov (J. Chem. Inf. Model., 2021)

Chemical named entity recognition in the texts of scientific publications using the naïve Bayes classifier approach. - Olga A. Tarasova; Anastasia V. Rudik; Nadezhda Yu. Biziukova; Dmitry Filimonov; Vladimir Poroikov (J. Cheminformatics, 2022)

Identification of Proteins and Genes Associated with Hedgehog Signaling Pathway Involved in Neoplasm Formation Using Text-Mining Approach. - Nadezhda Yu. Biziukova; Sergey M. Ivanov; Olga A. Tarasova (Big Data Min. Anal., 2024)

SAnDReS 2.0: Development of machine-learning models to explore the scoring function space. - Walter Filgueira de Azevedo Jr.; Rodrigo Quiroga; Marcos Ariel Villarreal; Nelson José Freitas da Silveira; Gabriela Bitencourt-Ferreira; Amauri Duarte da Silva; Martina Veit-Acosta; Patricia Rufino Oliveira; Marco Tutone; Nadezhda Yu. Biziukova; Vladimir Poroikov; Olga A. Tarasova; et al. (J. Comput. Chem., 2024)