title: Computational and statistical study on the molecular interaction between antigen and antibody.
abstract: Monoclonal antibodies are one of the most successful bio-molecules utilized in the clinical scene of today. It is important to clarify general characteristics of the interaction between antigen and antibody and to draw a guide for enhancing their binding affinity in rational design of antibody drugs. In this study, we carried out molecular dynamics simulations for 20 kinds of antigen-antibody complexes. From the statistical analysis of the calculation results, the following findings were deduced. At complementarity determining regions (CDRs) of the antibodies, the rates for the presence of serine (Ser) and tyrosine (Tyr) are high. The amino residues involved in direct hydrogen bonds between antigens and antibodies were examined by counting the numbers of the hydrogen bonds from the respective residues. The contribution of Tyr to the direct hydrogen bonding was the highest and that of Ser was the fourth. Furthermore, the short-distance hydrogen bonds, which is assumed to be so-called "low-barrier hydrogen bond", were observed at CDRs in three complexes. Interestingly, Ser is involved in the short-distance hydrogen bonding in two cases out of the three. This result suggests that these two unchanged polar amino acid residues play an important role for recognition of antigen. In almost all of the complexes (18/20), the contribution of the electrostatic energy (ΔEele) to the binding free energy was calculated to be larger than that of the van der Waals energy (ΔEvdw). This dominance of the electrostatic energy is in contrast to the case that low molecular-weight compounds are bound to their targets. The findings of this study will be helpful to design an antibody with a high specificity and a high affinity to the antigen.
authors.affiliation: Graduate School of Pharmaceutical Sciences, Chiba University, Inohana 1-8-1, Chuo-ku, Chiba 260-8675, Japan.
authors.forename: Tomonori
authors.initials: T
authors.lastname: Osajima
authors.affiliation: Graduate School of Pharmaceutical Sciences, Chiba University, Inohana 1-8-1, Chuo-ku, Chiba 260-8675, Japan.
authors.forename: Masaaki
authors.initials: M
authors.lastname: Suzuki
authors.affiliation: Graduate School of Pharmaceutical Sciences, Chiba University, Inohana 1-8-1, Chuo-ku, Chiba 260-8675, Japan.
authors.forename: Saburo
authors.initials: S
authors.lastname: Neya
authors.affiliation: Graduate School of Pharmaceutical Sciences, Chiba University, Inohana 1-8-1, Chuo-ku, Chiba 260-8675, Japan. Electronic address: hoshino@chiba-u.jp.
authors.forename: Tyuji
authors.initials: T
authors.lastname: Hoshino
mesh_terms: D000906:Antibodies / Q000737:chemistry*; D000918:Antibody Specificity; D000941:Antigens / Q000737:chemistry*; D001665:Binding Sites; D022801:Complementarity Determining Regions / Q000737:chemistry; D003627:Data Interpretation, Statistical; D006860:Hydrogen Bonding; D056004:Molecular Dynamics Simulation; D011485:Protein Binding; D020836:Protein Structure, Quaternary; D017434:Protein Structure, Tertiary; D013816:Thermodynamics
chemical_list: D000906:Antibodies; D000941:Antigens; D022801:Complementarity Determining Regions
keywords: Antibody; Antigen; Binding energy; Complex structure; Molecular dynamics simulation