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Computational and Structural Biotechnology Journal|July 30, 2025
Corrigendum to "Leveraging large language models to predict antibody biological activity against influenza A hemagglutinin" [Comput Struct Biotechnol J 27 (2025) 1286-1295]Ella Barkan, Ibrahim Siddiqui, Kevin J Cheng, et al.
Computational and Structural Biotechnology Journal|July 30, 2025
Cell type prediction with neighborhood-enhanced cellular embedding using deep learning on hematoxylin and eosin-stained imagesNam Nhut Phan, Hanzhou Wang, Tapsya Nayak, et al.
Computational and Structural Biotechnology Journal|July 28, 2025
"intelligent Read Across (iRA)"- A tool for read-across-based toxicity prediction of nanoparticlesSouvik Pore, Kunal Roy
Computational and Structural Biotechnology Journal|April 28, 2025
Intelligent detection for Polycystic Ovary Syndrome (PCOS): Taxonomy, datasets and detection toolsMeng Li, Zanxiang He, Liyun Shi, et al.
Computational and Structural Biotechnology Journal|April 25, 2025
ToxDL 2.0: Protein toxicity prediction using a pretrained language model and graph neural networksLin Zhu, Yi Fang, Shuting Liu, et al.
Computational and Structural Biotechnology Journal|April 25, 2025
Easy triplex: An online tool for predicting the formation of DNA-RNA triple helicesLintao Xian, Jianming Liu, Shunshun Zhu, et al.
Computational and Structural Biotechnology Journal|October 27, 2025
Optimization of regulatory DNA with active learningYuxin Shen, Grzegorz Kudla, Diego A Oyarzún
Computational and Structural Biotechnology Journal|October 23, 2025
Metabolic modeling of host-microbe interactionsNatchapon Srinak, Florian Krüger, Christoph Kaleta, et al.
Computational and Structural Biotechnology Journal|November 10, 2025
Immunolyser 2.0: An advanced computational pipeline for comprehensive analysis of immunopeptidomic dataPrithvi Raj Munday, Sanjay S G Krishna, Joshua Fehring, et al.
Computational and Structural Biotechnology Journal|October 28, 2025
Temporal complexity of LVV-hemorphin-7 allosterism at the angiotensin II type 1 receptor assessed using entropy-based approachesH F Jelinek, M P Johnson, F B Khan, et al.
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