In Silico Methods in Antibody Design.

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ID: 52783
2018
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Abstract
Antibody therapies with high efficiency and low toxicity are becoming one of the major approaches in antibody therapeutics. Based on high-throughput sequencing and increasing experimental structures of antibodies/antibody-antigen complexes, computational approaches can predict antibody/antigen structures, engineering the function of antibodies and design antibody-antigen complexes with improved properties. This review summarizes recent progress in the field of in silico design of antibodies, including antibody structure modeling, antibody-antigen complex prediction, antibody stability evaluation, and allosteric effects in antibodies and functions. We listed the cases in which these methods have helped experimental studies to improve the affinities and physicochemical properties of antibodies. We emphasized how the molecular dynamics unveiled the allosteric effects during antibody-antigen recognition and antibody-effector recognition.
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zhao2018inantibodies Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Zhao, Jun;Nussinov, Ruth;Wu, Wen-Jin;Ma, Buyong;
Journal antibodies (basel, switzerland)
Year 2018
DOI
E22
URL
Keywords
immunogenicity affinity maturation allosteric effect antibody design antibody stability antibody-antigen recognition epitope prediction vaccine design Antimicrobial activity Cytotoxicity structural elucidation marine actinomycetes napyradiomycins social media focus groups SOCIAL MEDIA MARKETING alternative supply chains electronic word of mouth (ewom) short food supply chains social determinants of health cultural competency cultural safety in health service delivery psychological distress college students minority stress family rejection identity conealment internalized homophobia and transphobia sexual and gender minority

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