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SSH: A Tool for Predicting Hydrophobic Interaction of Monoclonal Antibodies Using Sequences
Joint Authors
Huang, Jian
Kang, Juanjuan
Dzisoo, Anthony Mackitz
Yao, Pengcheng
Klugah-Brown, Benjamin
Mengesha, Birga Anteneh
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-6, 6 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-06-02
Country of Publication
Egypt
No. of Pages
6
Main Subjects
Abstract EN
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).
American Psychological Association (APA)
Dzisoo, Anthony Mackitz& Kang, Juanjuan& Yao, Pengcheng& Klugah-Brown, Benjamin& Mengesha, Birga Anteneh& Huang, Jian. 2020. SSH: A Tool for Predicting Hydrophobic Interaction of Monoclonal Antibodies Using Sequences. BioMed Research International،Vol. 2020, no. 2020, pp.1-6.
https://search.emarefa.net/detail/BIM-1133239
Modern Language Association (MLA)
Dzisoo, Anthony Mackitz…[et al.]. SSH: A Tool for Predicting Hydrophobic Interaction of Monoclonal Antibodies Using Sequences. BioMed Research International No. 2020 (2020), pp.1-6.
https://search.emarefa.net/detail/BIM-1133239
American Medical Association (AMA)
Dzisoo, Anthony Mackitz& Kang, Juanjuan& Yao, Pengcheng& Klugah-Brown, Benjamin& Mengesha, Birga Anteneh& Huang, Jian. SSH: A Tool for Predicting Hydrophobic Interaction of Monoclonal Antibodies Using Sequences. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-6.
https://search.emarefa.net/detail/BIM-1133239
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1133239