SSH: A Tool for Predicting Hydrophobic Interaction of Monoclonal Antibodies Using Sequences.

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  • Additional Information
    • Affiliation:
      Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu 611731, China
      Brain Connectivity Lab, University of Electronic Science and Technology of China, 611731, China
    • Subject Terms:
    • Subject Terms:
    • Abstract:
      Therapeutic antibodies are one of the most important parts of the pharmaceutical industry. They are widely used in treating various diseases such as autoimmune diseases, cancer, inflammation, and infectious diseases. Their development process however is often brought to a standstill or takes a longer time and is then more expensive due to their hydrophobicity problems. Hydrophobic interactions can cause problems on half-life, drug administration, and immunogenicity at all stages of antibody drug development. Some of the most widely accepted and used technologies for determining the hydrophobic interactions of antibodies include standup monolayer adsorption chromatography (SMAC), salt-gradient affinity-capture self-interaction nanoparticle spectroscopy (SGAC-SINS), and hydrophobic interaction chromatography (HIC). However, to measure SMAC, SGAC-SINS, and HIC for hundreds of antibody drug candidates is time-consuming and costly. To save time and money, a predictor called SSH is developed. Based on the antibody's sequence only, it can predict the hydrophobic interactions of monoclonal antibodies (mAbs). Using the leave-one-out crossvalidation, SSH achieved 91.226% accuracy, 96.396% sensitivity or recall, 84.196% specificity, 87.754% precision, 0.828 Mathew correlation coefficient (MCC), 0.919 f -score, and 0.961 area under the receiver operating characteristic (ROC) curve (AUC).
    • Journal Subset:
      Biomedical; Peer Reviewed; USA
    • ISSN:
      2314-6133
    • MEDLINE Info:
      NLM UID: 101600173
    • Publication Date:
      20200605
    • Publication Date:
      20200605
    • DOI:
      10.1155/2020/3508107
    • Accession Number:
      143540911
  • Citations
    • ABNT:
      DZISOO, A. M. et al. SSH: A Tool for Predicting Hydrophobic Interaction of Monoclonal Antibodies Using Sequences. BioMed Research International, [s. l.], p. 1–6, 2020. DOI 10.1155/2020/3508107. Disponível em: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=rzh&AN=143540911. Acesso em: 30 set. 2020.
    • AMA:
      Dzisoo AM, Kang J, Yao P, Klugah-Brown B, Mengesha BA, Huang J. SSH: A Tool for Predicting Hydrophobic Interaction of Monoclonal Antibodies Using Sequences. BioMed Research International. June 2020:1-6. doi:10.1155/2020/3508107
    • APA:
      Dzisoo, A. M., Kang, J., Yao, P., Klugah-Brown, B., Mengesha, B. A., & Huang, J. (2020). SSH: A Tool for Predicting Hydrophobic Interaction of Monoclonal Antibodies Using Sequences. BioMed Research International, 1–6. https://doi.org/10.1155/2020/3508107
    • Chicago/Turabian: Author-Date:
      Dzisoo, Anthony Mackitz, Juanjuan Kang, Pengcheng Yao, Benjamin Klugah-Brown, Birga Anteneh Mengesha, and Jian Huang. 2020. “SSH: A Tool for Predicting Hydrophobic Interaction of Monoclonal Antibodies Using Sequences.” BioMed Research International, June, 1–6. doi:10.1155/2020/3508107.
    • Harvard:
      Dzisoo, A. M. et al. (2020) ‘SSH: A Tool for Predicting Hydrophobic Interaction of Monoclonal Antibodies Using Sequences’, BioMed Research International, pp. 1–6. doi: 10.1155/2020/3508107.
    • Harvard: Australian:
      Dzisoo, AM, Kang, J, Yao, P, Klugah-Brown, B, Mengesha, BA & Huang, J 2020, ‘SSH: A Tool for Predicting Hydrophobic Interaction of Monoclonal Antibodies Using Sequences’, BioMed Research International, pp. 1–6, viewed 30 September 2020, .
    • MLA:
      Dzisoo, Anthony Mackitz, et al. “SSH: A Tool for Predicting Hydrophobic Interaction of Monoclonal Antibodies Using Sequences.” BioMed Research International, June 2020, pp. 1–6. EBSCOhost, doi:10.1155/2020/3508107.
    • Chicago/Turabian: Humanities:
      Dzisoo, Anthony Mackitz, Juanjuan Kang, Pengcheng Yao, Benjamin Klugah-Brown, Birga Anteneh Mengesha, and Jian Huang. “SSH: A Tool for Predicting Hydrophobic Interaction of Monoclonal Antibodies Using Sequences.” BioMed Research International, June 2, 2020, 1–6. doi:10.1155/2020/3508107.
    • Vancouver/ICMJE:
      Dzisoo AM, Kang J, Yao P, Klugah-Brown B, Mengesha BA, Huang J. SSH: A Tool for Predicting Hydrophobic Interaction of Monoclonal Antibodies Using Sequences. BioMed Research International [Internet]. 2020 Jun 2 [cited 2020 Sep 30];1–6. Available from: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=rzh&AN=143540911