自引率: 1.1%
被引量: 1954
通过率: 暂无数据
审稿周期: 暂无数据
版面费用: 暂无数据
国人发稿量: 暂无数据
期刊描述简介:
Computational and Structural Biotechnology Journal (CSBJ) is an online gold open access journal publishing research articles and reviews after full peer review. All articles are published, without barriers to access, immediately upon acceptance. The journal places a strong emphasis on functional and mechanistic understanding of how molecular components in a biological process work together through the application of computational methods. Structural data may provide such insights, but they are not a pre-requisite for publication in the journal. Specific areas of interest include, but are not limited to: Structure and function of proteins, nucleic acids and other macromolecules Structure and function of multi-component complexes Protein folding, processing and degradation Enzymology Computational and structural studies of plant systems Microbial Informatics Genomics Proteomics Metabolomics Algorithms and Hypothesis in Bioinformatics Mathematical and Theoretical Biology Computational Chemistry and Drug Discovery Microscopy and Molecular Imaging Nanotechnology Systems and Synthetic Biology While all general topics related to Computational and Structural Biology are welcomed, the editors reserve the right to pre-screen submissions based on the suitability of the topic of a submission and, therefore, the right as whether a manuscript will be processed/reviewed or not. Even though experimental validation is not required for publication, reliability and significance of biological discovery are validated and enriched by experimental studies. The journal welcomes the submission of manuscripts that meet the general criteria of significance and scientific excellence, and enables the rapid publication of papers under the following categories: Research articles Review articles Mini Reviews Highlights Communications Software/Web server articles Methods articles Database articles Book Reviews Meeting Reviews
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Knowledge-based in silico fragmentation and annotation of mass spectra for natural products with MassKG.
被引量:- 发表:1970
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UQCRB and LBH are correlated with Gleason score progression in prostate cancer: Spatial transcriptomics and experimental validation.
被引量:- 发表:1970
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Identification and biophysical characterization of epitope atlas of Porcine Reproductive and Respiratory Syndrome Virus.
被引量:- 发表:1970
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AFSC: A self-supervised augmentation-free spatial clustering method based on contrastive learning for identifying spatial domains.
被引量:- 发表:1970
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In silico structural studies on the vesicular neutral amino acid transporter NTT4 (SLC6A17).
被引量:- 发表:1970