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Volume 19 Supplement 7

Selected articles from the IEEE BIBM International Conference on Bioinformatics & Biomedicine (BIBM) 2017: genomics

Research

Publication of this supplement has not been supported by sponsorship. Information about the source of funding for publication charges can be found in the individual articles. The articles have undergone the journal's standard peer review process for supplements. The Supplement Editor declares no competing interests.

Kansas City, MO, USA13-16 November 2017

Conference website

Edited by Haiying Wang.

  1. The protein energy landscape underscores the inherent nature of proteins as dynamic molecules interconverting between structures with varying energies. Reconstructing a protein’s energy landscape holds the key...

    Authors: Wanli Qiao, Nasrin Akhter, Xiaowen Fang, Tatiana Maximova, Erion Plaku and Amarda Shehu
    Citation: BMC Genomics 2018 19(Suppl 7):671
  2. Aligning protein-protein interaction (PPI) networks is very important to discover the functionally conserved sub-structures between different species. In recent years, the global PPI network alignment problem ...

    Authors: Yuanyuan Zhu, Yuezhi Li, Juan Liu, Lu Qin and Jeffrey Xu Yu
    Citation: BMC Genomics 2018 19(Suppl 7):670
  3. Small interfering RNA (siRNA) can be used to post-transcriptional gene regulation by knocking down targeted genes. In functional genomics, biomedical research and cancer therapeutics, siRNA design is a critica...

    Authors: Ye Han, Fei He, Yongbing Chen, Yuanning Liu and Helong Yu
    Citation: BMC Genomics 2018 19(Suppl 7):669
  4. MicroRNA regulation is fundamentally responsible for fine-tuning the whole gene network in human and has been implicated in most physiological and pathological conditions. Studying regulatory impact of microRN...

    Authors: Zeynep Hakguder, Jiang Shu, Chunxiao Liao, Kaiyue Pan and Juan Cui
    Citation: BMC Genomics 2018 19(Suppl 7):658
  5. Antimicrobial peptides are a promising alternative for combating pathogens resistant to conventional antibiotics. Computer-assisted peptide discovery strategies are necessary to automatically assess a signific...

    Authors: Jesus A. Beltran, Longendri Aguilera-Mendoza and Carlos A. Brizuela
    Citation: BMC Genomics 2018 19(Suppl 7):672
  6. The ability to predict the interaction of drugs with target proteins is essential to research and development of drug. However, the traditional experimental paradigm is costly, and previous in silico prediction p...

    Authors: Lingwei Xie, Song He, Xinyu Song, Xiaochen Bo and Zhongnan Zhang
    Citation: BMC Genomics 2018 19(Suppl 7):667

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    4.7 - 5-year Impact Factor
    1.189 - SNIP (Source Normalized Impact per Paper)
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