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Computational and Structural Biotechnology Journal|June 12, 2025
Dual threat: Susceptibility mechanisms and treatment strategies for COVID-19 and bacterial co-infectionsKeda Chen, Ruiqi Weng, Jiaxuan Li, et al.
Computational and Structural Biotechnology Journal|June 11, 2025
Bridging prediction and reality: Comprehensive analysis of experimental and AlphaFold 2 full-length nuclear receptor structuresAkerke Mazhibiyeva, Tri T Pham, Karina Pats, et al.
Computational and Structural Biotechnology Journal|June 9, 2025
A temperature-responsive regulator that enhances virulence in the kiwifruit canker pathogen Pseudomonas syringae pv. actinidiaeXueting He, Yifei Zhang, Chenbei Xu, et al.
Computational and Structural Biotechnology Journal|June 9, 2025
From variability to stability: Sensitivity of network properties in IBD human gut microbiome studiesTheresa Geese, Astrid Dempfle
Computational and Structural Biotechnology Journal|June 9, 2025
New perspectives on the models of porous carbonJose-I Beltrán-Larrotta, Juan Carlos Moreno-Piraján, Liliana Giraldo
Computational and Structural Biotechnology Journal|June 13, 2025
Graph convolutional neural networks improved target-specific scoring functions for cGAS and kRAS in virtual screeningBo Wang, Muhammad Junaid, Wenjin Li
Computational and Structural Biotechnology Journal|June 13, 2025
Cryo-EM structure of AAA + ATPase thorase reveals novel helical filament formationMohamad Aasif Dar, Robert Louder, Marisol Cortes, et al.
Computational and Structural Biotechnology Journal|April 1, 2025
Structural elucidation of four fungal hydrophobins belonging to classes I and II: Results from Alphafold and accelerated molecular dynamics simulationsDerrick Agwora, Bonaya Gufu, Tamás Marik, et al.
Computational and Structural Biotechnology Journal|March 31, 2025
ProS2Vi: A Python tool for visualizing proteins secondary structureM Luckman Qasim, Laleh Alisaraie
Computational and Structural Biotechnology Journal|March 31, 2025
Insights into heart failure metabolite markers through explainable machine learningCantin Baron, Pamela Mehanna, Caroline Daneault, et al.
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