Titlebook: Computer-Aided Antibody Design; Kouhei Tsumoto,Daisuke Kuroda Book 2023 Springer Science+Business Media, LLC, part of Springer Nature 2023

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Probing Conformational Dynamics of Antibodies with Geometric Simulationsmetric simulations method FRODAN, which is a low computational complexity alternative to molecular dynamics (MD) simulations that can rapidly explore flexible motions in protein structures. FRODAN is highly suited for conformational dynamics analysis of large proteins, complexes, intrinsically disor

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PITHA: A Webtool to Predict Immunogenicity for Humanized and Fully Human Therapeutic Antibodiesic antibodies and their antibodies, one can see that anti-idiotypic antibodies usually bind the complementarity-determining regions (CDR) of idiotypic antibodies. Sequence and structural features, such as cavity volume at the CDR region and hydrophobicity of CDR-H3 loop region, were identified for d

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In Silico Prediction Method for Protein Asparagine Deamidationm on structural level with machine learning. Our structure-based method is more accurate than the sequence-based method which is still widely used in protein engineering process. In addition, molecular dynamics simulation was applied to study the time occupancy of nucleophilic attack distance, which

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Structure-Based Optimization of Antibody-Based Biotherapeutics for Improved Developability: A Practibiotherapeutic drug development. Predictive computational strategies, used in the early stages of antibody discovery and development, to mitigate the risk of late-stage failure of antibody candidates, are highly valuable. Various structure-based methods exist for accurately predicting properties cri