Literature DB >> 9571065

Conformational sampling of CDR-H3 in antibodies by multicanonical molecular dynamics simulation.

H Shirai1, N Nakajima, J Higo, A Kidera, H Nakamura.   

Abstract

The diversity in the lengths and the amino acid sequences of the third complementarity determining region of the antibody heavy chain (CDR-H3) has made it difficult to establish a relationship between the sequences and the tertiary structures, in contrast to the other CDRs, which are classified by their canonical structures. Enhanced conformational sampling of two different CDR-H3s was performed by multicanonical molecular dynamics (multicanonical MD) simulation while restricting the base structures, with and without the other surrounding CDR segments. The results showed that the multicanonical MD sampled a much larger conformational space than the conventional MD, independent of the initial conformations of the simulations. When the other CDRs surrounding the CDR-H3 segments were included in the calculations, the predominant conformations at 300 K corresponded to the X-ray crystal structures. When only the single CDR-H3 loops were considered with the restricted base structures, a greater number of different conformations were sampled as putative loops, but only a small number of stable conformations appeared at 300 K. Analyses of the resultant conformations revealed a structural role for the glycine, when it is located at position three residues before the last residue of CDR-H3 (Gly-X-X-last residue), coincident with the statistical tendencies of many antibody crystal structures. This reflects the general consistency between the energetically stable conformations and the empirically observed conformations. The current method is expected to be applicable to the structural modeling and the design of antibodies, especially for the inherently flexible loops. Copyright 1998 Academic Press Limited.

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Year:  1998        PMID: 9571065     DOI: 10.1006/jmbi.1998.1698

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  14 in total

1.  Identification of protein functions from a molecular surface database, eF-site.

Authors:  Kengo Kinoshita; Jun'ichi Furui; Haruki Nakamura
Journal:  J Struct Funct Genomics       Date:  2002

2.  Conformational transition states of a beta-hairpin peptide between the ordered and disordered conformations in explicit water.

Authors:  Narutoshi Kamiya; Junichi Higo; Haruki Nakamura
Journal:  Protein Sci       Date:  2002-10       Impact factor: 6.725

3.  Ab initio simulation of a 57-residue protein in explicit solvent reproduces the native conformation in the lowest free-energy cluster.

Authors:  Jinzen Ikebe; Daron M Standley; Haruki Nakamura; Junichi Higo
Journal:  Protein Sci       Date:  2011-01       Impact factor: 6.725

4.  Antibody modeling using the prediction of immunoglobulin structure (PIGS) web server [corrected].

Authors:  Paolo Marcatili; Pier Paolo Olimpieri; Anna Chailyan; Anna Tramontano
Journal:  Nat Protoc       Date:  2014-11-06       Impact factor: 13.491

5.  Peptide free energy landscapes calibrated by molecular orbital calculations.

Authors:  S Ono; M Kuroda; J Higo; N Kamiya; N Nakajima; H Nakamura
Journal:  J Biol Phys       Date:  2002-09       Impact factor: 1.365

6.  Energy landscape of a peptide consisting of alpha-helix, 3(10)-helix, beta-turn, beta-hairpin, and other disordered conformations.

Authors:  J Higo; N Ito; M Kuroda; S Ono; N Nakajima; H Nakamura
Journal:  Protein Sci       Date:  2001-06       Impact factor: 6.725

7.  Blind prediction performance of RosettaAntibody 3.0: grafting, relaxation, kinematic loop modeling, and full CDR optimization.

Authors:  Brian D Weitzner; Daisuke Kuroda; Nicholas Marze; Jianqing Xu; Jeffrey J Gray
Journal:  Proteins       Date:  2014-03-31

Review 8.  Computer-aided antibody design.

Authors:  Daisuke Kuroda; Hiroki Shirai; Matthew P Jacobson; Haruki Nakamura
Journal:  Protein Eng Des Sel       Date:  2012-06-02       Impact factor: 1.650

9.  Generation of a flexible loop structural ensemble and its application to induced-fit structural changes following ligand binding.

Authors:  Yukihisa S Watanabe; Yoshifumi Fukunishi; Haruki Nakamura
Journal:  Biophysics (Nagoya-shi)       Date:  2006-01-31

10.  Homology modeling a fast tool for drug discovery: current perspectives.

Authors:  V K Vyas; R D Ukawala; M Ghate; C Chintha
Journal:  Indian J Pharm Sci       Date:  2012-01       Impact factor: 0.975

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