Computational and Structural Biotechnology Journal

Computational and Structural Biotechnology Journal

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Computational and Structural Biotechnology Journal (CSBJ) is an open access journal (Impact Factor 4.5) and is composed of four specialty sections:
• General • Smart Hospital • Nanoscience and Advanced Materials • Quantum Biology and Biophotonics. All articles are published, without barriers to access, immediately upon acceptance. The journal places a strong emphasis on functional and mechanistic

24/05/2026

🦠 Could decoding bacterial regulatory proteins help us stay ahead of drug resistance?

This study uncovers conserved sequence motifs in TetR family regulators (TFRs), one of the largest groups of bacterial transcription factors involved in antibiotic resistance, multidrug resistance, metabolism, and cellular adaptation. By identifying hidden molecular signatures within ligand-binding domains, the researchers provide new tools to predict bacterial regulatory functions and support antimicrobial drug discovery.

📝 Maria Kepa, Maciej Nielipinski, Estera Widawska, Jakub Filipek, Natalia Kazmierczak, Julia Sosnowska, Krystyna Baca, Maja Nastarowicz, Marcelina Rupp, Mieszko Goslawski-Zeligowski, Julia Mokrzycka, Dominika Nielipinska, Bartosz Sekula, Agnieszka J. Pietrzyk-Brzezinska

🔗 Conserved Motifs in the Ligand-Binding Domain of TetR Family Regulators: Identification and Analysis. Computational and Structural Biotechnology Journal (CSBJ). DOI: https://doi.org/10.34133/csbj.0100

📚 CSBJ - A Science Partner Journal: https://spj.science.org/journal/csbj

Politechnika Łódzka, Computational and Structural Biotechnology Journal, Science Partner Journals, AAAS - The American Association for the Advancement of Science

24/05/2026

🧠 What if missing data is not a flaw, but one of the most informative parts of a complex system?

This study introduces a graph-theoretic framework called NIMAA (NomInal data Mining AnAlysis) that changes how we think about missing data. Instead of treating missing values as errors to remove or impute, the authors show that the 𝘴𝘵𝘳𝘶𝘤𝘵𝘶𝘳𝘦 𝘰𝘧 𝘮𝘪𝘴𝘴𝘪𝘯𝘨𝘯𝘦𝘴𝘴 𝘪𝘵𝘴𝘦𝘭𝘧 can reveal hidden biological, ecological, and social patterns across complex datasets.

📝 Ehsan Zangene, Veit Schwämmle, Mohieddin Jafari

🔗 Informative Missingness in Nominal Data: A Graph-Theoretic Approach to Revealing Hidden Structure. Computational and Structural Biotechnology Journal (CSBJ). DOI: https://doi.org/10.34133/csbj.0099

📚 CSBJ - A Science Partner Journal: https://spj.science.org/journal/csbj

University of Helsinki, Tampere University, Syddansk Universitet – University of Southern Denmark, Computational and Structural Biotechnology Journal, Science Partner Journals, AAAS - The American Association for the Advancement of Science

20/05/2026

📢 We are pleased to announce that authors can now submit manuscripts directly from bioRxiv to the 𝘊𝘰𝘮𝘱𝘶𝘵𝘢𝘵𝘪𝘰𝘯𝘢𝘭 𝘢𝘯𝘥 𝘚𝘵𝘳𝘶𝘤𝘵𝘶𝘳𝘢𝘭 𝘉𝘪𝘰𝘵𝘦𝘤𝘩𝘯𝘰𝘭𝘰𝘨𝘺 𝘑𝘰𝘶𝘳𝘯𝘢𝘭 (CSBJ) through the 𝗯𝗶𝗼𝗥𝘅𝗶𝘃-𝘁𝗼-𝗝𝗼𝘂𝗿𝗻𝗮𝗹 (B2J) transfer service.

🔄 This integration enables authors to seamlessly transfer their preprint manuscripts, metadata, and author information from bioRxiv directly to CSBJ, saving valuable time by eliminating the need to re-upload files and re-enter submission details during the manuscript submission process.

🙏 We sincerely thank Cold Spring Harbor Laboratory (CSHL) for integrating CSBJ into the 𝗕𝟮𝗝 transfer service and for their continued contributions to advancing scientific communication and open science.

Detailed instructions for submission can be found in the 𝘎𝘶𝘪𝘥𝘦𝘭𝘪𝘯𝘦𝘴 𝘧𝘰𝘳 𝘈𝘶𝘵𝘩𝘰𝘳𝘴: https://spj.science.org/page/csbj/for-authors

📩 For inquiries regarding submissions or the submission process, please contact: [email protected]

We look forward to receiving your submissions and advancing the rapid dissemination of open science.

Computational and Structural Biotechnology Journal, Science Partner Journals, AAAS - The American Association for the Advancement of Science

14/05/2026

🐶🩸 Could a routine blood sample unlock earlier detection of breast cancer in dogs?

A new pilot study explores how blood based DNA methylation profiling could transform the diagnosis and prognosis of canine mammary gland tumors (cMGTs), one of the most common cancers in female dogs. The research demonstrates that peripheral blood samples may capture tumor associated epigenetic changes, opening the door to less invasive cancer monitoring and earlier detection strategies.

📝 Keunhwan Jang, Geunwoo Jeon, Jungwoo Han, Seung-Bum Cho, Suyeon Kim, Songju Oh, Ha-Jung Kim

🔗 DNA Methylation in Blood Samples from Malignant Mammary Tumors of Companion Dogs: A Pilot Study. Computational and Structural Biotechnology Journal (CSBJ). DOI: https://doi.org/10.34133/csbj.0104

📚 CSBJ - A Science Partner Journal: https://spj.science.org/journal/csbj

Computational and Structural Biotechnology Journal, Science Partner Journals, AAAS - The American Association for the Advancement of Science

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