SSH: A Tool for Predicting Hydrophobic Interaction of Monoclonal Antibodies Using Sequences.
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 longe...
| Publicado en: | BioMed Research International pp. 1 - 7 |
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| Autores principales: | , , , , , |
| Formato: | equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
6/2/2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=143540911&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 143540911 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 23146133 FT2T jtl: BioMed Research International issn: 23146133 maglogo: N pubinfo: dt: 6/2/2020 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 143540911 143540911 143540911 10.1155/2020/3508107 143540911 ppf: 1 ppct: 6 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: SSH: A Tool for Predicting Hydrophobic Interaction of Monoclonal Antibodies Using Sequences. aug: au: Dzisoo, Anthony Mackitz Kang, Juanjuan Yao, Pengcheng Klugah-Brown, Benjamin Mengesha, Birga Anteneh Huang, Jian affil: Center for Informational Biology, University of Electronic Science and Technology of China, Chengdu 611731, China sug: subj: Chemistry, Physical Antibodies, Monoclonal Analysis Sequence Analysis Methods Drug Design Human Chromatography Methods Spectrum Analysis Methods Sensitivity and Specificity Correlation Coefficient ROC Curve ab: 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). pubtype: Academic Journal doctype: equations & formulas pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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