Dmitry Korkin, Ph.D.
Affiliations: | 2003 | University of New Brunswick (Canada) |
Area:
Computer ScienceGoogle:
"Dmitry Korkin"Parents
Sign in to add mentor| Lev Goldfarb | grad student | 2003 | University of New Brunswick (Canada) | |
| (A new model for molecular representation and classification: Formal approach based on the ETS framework.) | ||||
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Publications
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| Narykov O, Johnson NT, Korkin D. (2021) Predicting protein interaction network perturbation by alternative splicing with semi-supervised learning. Cell Reports. 37: 110045 |
| Srinivasan S, Cui H, Gao Z, et al. (2020) Structural Genomics of SARS-CoV-2 Indicates Evolutionary Conserved Functional Regions of Viral Proteins. Viruses. 12 |
| Cui H, Srinivasan S, Korkin D. (2019) Enriching Human Interactome with Functional Mutations to Detect High-Impact Network Modules Underlying Complex Diseases. Genes. 10 |
| Narykov O, Bogatov D, Korkin D. (2019) DISPOT: A simple knowledge-based protein domain interaction statistical potential. Bioinformatics (Oxford, England) |
| Masonbrink R, Maier TR, Muppirala U, et al. (2019) The genome of the soybean cyst nematode (Heterodera glycines) reveals complex patterns of duplications involved in the evolution of parasitism genes. Bmc Genomics. 20: 119 |
| Dhroso A, Eidson S, Korkin D. (2018) Genome-wide prediction of bacterial effector candidates across six secretion system types using a feature-based statistical framework. Scientific Reports. 8: 17209 |
| Cui H, Zhao N, Korkin D. (2018) Multilayer View of Pathogenic SNVs in Human Interactome through in-silico Edgetic Profiling. Journal of Molecular Biology |
| Gardner M, Dhroso A, Johnson N, et al. (2018) Novel global effector mining from the transcriptome of early life stages of the soybean cyst nematode Heterodera glycines. Scientific Reports. 8: 2505 |
| Zhang D, Cui H, Korkin D, et al. (2016) Incorporation of protein binding effects into likelihood ratio test for exome sequencing data. Bmc Proceedings. 10: 275-281 |
| Voitenko OS, Dhroso A, Feldmann A, et al. (2016) Patterns of amino acid conservation in human and animal immunodeficiency viruses. Bioinformatics (Oxford, England). 32: i685-i692 |