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Computational and Structural Biotechnology Journal|October 26, 2020
The autoinhibited state of MKK4: Phosphorylation, putative dimerization and R134W mutant studied by molecular dynamics simulationsEkaterina Shevchenko, Antti Poso, Tatu PantsarComputational and Structural Biotechnology Journal|October 26, 2020
Naught all zeros in sequence count data are the sameJustin D Silverman, Kimberly Roche, Sayan Mukherjee, et al.Computational and Structural Biotechnology Journal|December 11, 2020
Accurate prediction of RNA 5-hydroxymethylcytosine modification by utilizing novel position-specific gapped k-mer descriptorsSajid Ahmed, Zahid Hossain, Mahtab Uddin, et al.Computational and Structural Biotechnology Journal|December 11, 2020
Computational methods for detecting cancer hotspotsEmmanuel Martinez-Ledesma, David Flores, Victor TrevinoComputational and Structural Biotechnology Journal|December 11, 2020
Dissecting the binding mechanisms of transcription factors to DNA using a statistical thermodynamics frameworkPatrick C N Martin, Nicolae Radu ZabetComputational and Structural Biotechnology Journal|December 11, 2020
Disease modeling and stem cell immunoengineering in regenerative medicine using CRISPR/Cas9 systemsAinsley Mike Antao, Janardhan Keshav Karapurkar, Dong Ryul Lee, et al.Computational and Structural Biotechnology Journal|December 11, 2020
Identification of type VI secretion system toxic effectors using adaptors as markersYa Liu, Zheng Zhang, Feng Wang, et al.Computational and Structural Biotechnology Journal|December 11, 2020
Phytophthora zoospores: From perception of environmental signals to inoculum formation on the host-root surfaceIlaria Bassani, Marie Larousse, Quang D Tran, et al.Computational and Structural Biotechnology Journal|November 30, 2020
Docking-based identification of small-molecule binding sites at protein-protein interfacesMireia Rosell, Juan Fernández-RecioComputational and Structural Biotechnology Journal|December 9, 2020
Inductive inference of gene regulatory network using supervised and semi-supervised graph neural networksJuexin Wang, Anjun Ma, Qin Ma, et al.Pageof 387