Dariusz Plewczynski
Affiliations: | Interdisciplinary Centre for Mathematical and Computational Modeling | University of Warsaw, Poland |
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"Dariusz Plewczynski"
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| Halder AK, Bandyopadhyay SS, Chatterjee P, et al. (2020) JUPPI: A multi-level feature based method for PPI prediction and a refined strategy for performance assessment. Ieee/Acm Transactions On Computational Biology and Bioinformatics |
| Dawson W, Lazniewski M, Plewczynski D. (2020) Free energy-based model of CTCF-mediated chromatin looping in the human genome. Methods (San Diego, Calif.) |
| Wlasnowolski M, Sadowski M, Czarnota T, et al. (2020) 3D-GNOME 2.0: a three-dimensional genome modeling engine for predicting structural variation-driven alterations of chromatin spatial structure in the human genome. Nucleic Acids Research |
| Xu H, Zhang S, Yi X, et al. (2020) Exploring 3D chromatin contacts in gene regulation: The evolution of approaches for the identification of functional enhancer-promoter interaction. Computational and Structural Biotechnology Journal. 18: 558-570 |
| Kadlof M, Rozycka J, Plewczynski D. (2019) Spring Model - chromatin modeling tool based on OpenMM. Methods |
| Halder AK, Denkiewicz M, Sengupta K, et al. (2019) Aggregated Network Centrality Shows Non-Random Structure of Genomic and Proteomic Networks. Methods (San Diego, Calif.) |
| Saha S, Chatterjee P, Basu S, et al. (2019) FunPred 3.0: improved protein function prediction using protein interaction network. Peerj. 7: e6830 |
| Bkhetan ZA, Kadlof M, Kraft A, et al. (2019) Machine learning polymer models of three-dimensional chromatin organization in human lymphoblastoid cells. Methods. 166: 83-90 |
| Mier P, Paladin L, Tamana S, et al. (2019) Disentangling the complexity of low complexity proteins. Briefings in Bioinformatics |
| Malkowska M, Zubek J, Plewczynski D, et al. (2018) ShapeGTB: the role of local DNA shape in prioritization of functional variants in human promoters with machine learning. Peerj. 6 |