DISPOT: a simple knowledge-based protein domain interaction statistical potential. - Oleksandr Narykov; Dmytro Bogatov; Dmitry Korkin (Bioinform., 2019)

Deep learning methods for drug response prediction in cancer: predominant and emerging trends. - Alexander Partin; Thomas S. Brettin; Yitan Zhu; Oleksandr Narykov; Austin Clyde; Jamie C. Overbeek; Rick L. Stevens (CoRR, 2022)

Entropy-Based Regularization on Deep Learning Models for Anti-Cancer Drug Response Prediction. - Oleksandr Narykov; Yitan Zhu; Thomas S. Brettin; Yvonne A. Evrard; Alexander Partin; Maulik Shukla; Priyanka Vasanthakumari; James H. Doroshow; Rick Stevens (SC Workshops, 2023)

Assessing Reusability of Deep Learning-Based Monotherapy Drug Response Prediction Models Trained with Omics Data. - Jamie C. Overbeek; Alexander Partin; Thomas S. Brettin; Nicholas Chia; Oleksandr Narykov; Priyanka Vasanthakumari; Andreas Wilke; Yitan Zhu; Austin Clyde; Sara Jones; Rohan Gnanaolivu; Yuanhang Liu; et al. (CoRR, 2024)

Reflections from the 2024 Large Language Model (LLM) Hackathon for Applications in Materials Science and Chemistry. - Yoel Zimmermann; Adib Bazgir; Zartashia Afzal; Fariha Agbere; Qianxiang Ai; Nawaf Alampara; Alexander Al-Feghali; Mehrad Ansari; Dmytro Antypov; Amro Aswad; Jiaru Bai; Viktoriia Baibakova; et al. (CoRR, 2024)

Data imbalance in drug response prediction: multi-objective optimization approach in deep learning setting. - Oleksandr Narykov; Yitan Zhu; Thomas S. Brettin; Yvonne A. Evrard; Alexander Partin; Fangfang Xia; Maulik Shukla; Priyanka Vasanthakumari; James H. Doroshow; Rick L. Stevens (Briefings Bioinform., 2025)

Benchmarking community drug response prediction models: datasets, models, tools, and metrics for cross-dataset generalization analysis. - Alexander Partin; Priyanka Vasanthakumari; Oleksandr Narykov; Andreas Wilke; Natasha Koussa; Sara E. Jones; Yitan Zhu; Jamie C. Overbeek; Rajeev Jain; Gayara Demini Fernando; Cesar Sanchez-Villalobos; Cristina Garcia-Cardona; et al. (CoRR, 2025)