tetano
Editor, Senior Moderator
Drug Discov Today. 2016 Jun 15. pii: S1359-6446(16)30226-4. doi: 10.1016/j.drudis.2016.06.008. [Epub ahead of print]
[h=1]Translating genomic sequences into antibody efficacy and safety against influenza toward clinical trial outcomes: a case study.[/h] Yang HT[SUP]1[/SUP], Yang H[SUP]2[/SUP], Chiang JH[SUP]3[/SUP], Wang SJ[SUP]4[/SUP].
[h=3]Author information[/h]
[h=3]Abstract[/h] Antibodies (Abs) are regarded as a newly emerging form of therapeutics that can provide passive protection against influenza. Although the application of genomics in clinics has increased dramatically, the number of therapeutics available for the treatment of many diseases remains insufficient. To translate genomics into medicines, we established a computational workflow to reconstruct 3D structures of hemagglutinin [HA, antigen (Ag)] and Ab for modeling Ab-HA interactions, based on their protein sequences. This platform was capable of testing the validity of bioinformatics predictions against viral neutralization titers for four Abs: CH65, CR8020, C05, and 5J8. By considering off-target effects, CR8020, the only successful candidate in clinical trials, was prospectively identified. Our approach could facilitate the discovery of Ab drugs against infectious diseases.
Copyright ? 2016 Elsevier Ltd. All rights reserved.
PMID: 27319290 [PubMed - as supplied by publisher]
[h=1]Translating genomic sequences into antibody efficacy and safety against influenza toward clinical trial outcomes: a case study.[/h] Yang HT[SUP]1[/SUP], Yang H[SUP]2[/SUP], Chiang JH[SUP]3[/SUP], Wang SJ[SUP]4[/SUP].
[h=3]Author information[/h]
[h=3]Abstract[/h] Antibodies (Abs) are regarded as a newly emerging form of therapeutics that can provide passive protection against influenza. Although the application of genomics in clinics has increased dramatically, the number of therapeutics available for the treatment of many diseases remains insufficient. To translate genomics into medicines, we established a computational workflow to reconstruct 3D structures of hemagglutinin [HA, antigen (Ag)] and Ab for modeling Ab-HA interactions, based on their protein sequences. This platform was capable of testing the validity of bioinformatics predictions against viral neutralization titers for four Abs: CH65, CR8020, C05, and 5J8. By considering off-target effects, CR8020, the only successful candidate in clinical trials, was prospectively identified. Our approach could facilitate the discovery of Ab drugs against infectious diseases.
Copyright ? 2016 Elsevier Ltd. All rights reserved.
PMID: 27319290 [PubMed - as supplied by publisher]