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Journal Photo for Cell Discovery
Peer reviewed only Open Access

Cell Discovery (CD)

Publisher : Nature Publishing
Biochemistry Molecular Biology Cell Discovery
Claim Your Journal Get PRC Visit Website
e-ISSN 2056-5968
Issue Frequency Monthly
Impact Factor 21.9
Est. Year 2015
Mobile 02154920952
Country China
Language English
APC YES
Impact Factor Assignee Google Scholar
Email cd@sibcb.ac.cn

Journal Descriptions

Cell Discovery, published by Springer Nature in partnership with the Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences (CAS), aims to provide an open access platform for scientists to publish their outstanding original works. Cell Discovery publishes results of high significance and broad interest in all areas of molecular and cell biology, including (but not limited to) the following topics: Cell growth, differentiation & apoptosis Signal transduction Stem cell biology & development Chromatin, epigenetics & transcription RNA biology Structural & molecular biology Cancer biology & metabolism Immunity & molecular pathogenesis Molecular & cellular neuroscience Plant molecular & cell biology Omics, system biology & synthetic biology The journal has an international authorship and a broad scope in basic life sciences, and is a valued member of Springer Nature’s highly respected family of Molecular Cell Biology journals.

Cell Discovery (CD) is :-

  • International, Peer-Reviewed, Open Access, Refereed, Biochemistry, Molecular Biology, Cell Discovery, Cell Biology , Online , Monthly Journal

  • UGC Approved, ISSN Approved: P-ISSN E-ISSN: 2056-5968, Established: 2015, Impact Factor: 21.9
  • Does Not Provide Crossref DOI

  • Indexed in: Scopus, WoS, DOAJ, PubMed

  • Not indexed in UGC CARE

Indexing

Publications of CD

A conditional protein diffusion model generates artificial programmable endonuclease sequences with enhanced activity
Pietro Liò September, 2024
Deep learning-based methods for generating functional proteins address the growing need for novel biocatalysts, allowing for precise tailoring of functionalities to meet specific requirement...
Conditional Protein Denoising Diffusion Generates Programmable Endonucleases
Pietro Liò September, 2024
Deep learning-based methods for generating functional proteins address the growing need for novel biocatalysts, allowing for precise tailoring of functionalities to meet specific requirement...