Academic Journal

Performance of computational alanine scanning ΔΔG prediction for antibody-antigen interfaces.

التفاصيل البيبلوغرافية
العنوان: Performance of computational alanine scanning ΔΔG prediction for antibody-antigen interfaces.
المؤلفون: Rui Yin (3605807), Johnathan D. Guest (6711071), Ghazaleh Taherzadeh (4783524), Ragul Gowthaman (29587), Ipsa Mittra (11402534), Jane Quackenbush (11402537), Brian G. Pierce (204648)
سنة النشر: 2021
المجموعة: Smithsonian Institution: Digital Repository
مصطلحات موضوعية: Biophysics, Biochemistry, Microbiology, Molecular Biology, Immunology, Cancer, Infectious Diseases, Virology, Biological Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, viral variant mutations, less effectively targeted, protective antibody responses, detailed molecular understanding, 2 pandemic highlights, current monoclonal antibodies, disrupt antibody recognition, antibody recognition, detailed structure, 2 variants, 2 ), neutralizing antibodies, classified antibodies, antibodies predicted, %22">xlink ">, revealing sets, rbd structures, rbd ), inform therapeutic, including alpha
الوصف: (DOCX)
نوع الوثيقة: article in journal/newspaper
اللغة: unknown
Relation: https://figshare.com/articles/journal_contribution/Performance_of_computational_alanine_scanning_G_prediction_for_antibody-antigen_interfaces_/16582493
DOI: 10.1371/journal.pcbi.1009380.s002
الاتاحة: https://doi.org/10.1371/journal.pcbi.1009380.s002
Rights: CC BY 4.0
رقم الانضمام: edsbas.4AB6E7AA
قاعدة البيانات: BASE
الوصف
DOI:10.1371/journal.pcbi.1009380.s002