Literature DB >> 23255066

Ab initio structure prediction of the antibody hypervariable H3 loop.

Kai Zhu1, Tyler Day.   

Abstract

Antibodies have the capability of binding a wide range of antigens due to the diversity of the six loops constituting the complementarity determining region (CDR). Among the six loops, the H3 loop is the most diverse in structure, length, and sequence identity. Prediction of the three-dimensional structures of antibodies, especially the CDR loops, is an important step in the computational design and engineering of novel antibodies for improved affinity and specificity. Although it has been demonstrated that the conformation of the five non-H3 loops can be accurately predicted by comparing their sequences against databases of canonical loop conformations, no such connection has been established for H3 loops. In this work, we present the results for ab initio structure prediction of the H3 loop using conformational sampling and energy calculations with the program Prime on a dataset of 53 loops ranging in length from 4 to 22 residues. When the prediction is performed in the crystal environment and including symmetry mates, the median backbone root mean square deviation (RMSD) is 0.5 Å to the crystal structure, with 91% of cases having an RMSD of less than 2.0 Å. When the prediction is performed in a noncrystallographic environment, where the scaffold is constructed by swapping the H3 loops between homologous antibodies, 70% of cases have an RMSD below 2.0 Å. These results show promise for ab initio loop predictions applied to modeling of antibodies.
Copyright © 2012 Wiley Periodicals, Inc.

Mesh:

Substances:

Year:  2013        PMID: 23255066     DOI: 10.1002/prot.24240

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  8 in total

Review 1.  Advances in Antibody Design.

Authors:  Kathryn E Tiller; Peter M Tessier
Journal:  Annu Rev Biomed Eng       Date:  2015-08-14       Impact factor: 9.590

2.  Hydrogen/deuterium exchange mass spectrometry and computational modeling reveal a discontinuous epitope of an antibody/TL1A Interaction.

Authors:  Richard Y-C Huang; Stanley R Krystek; Nathan Felix; Robert F Graziano; Mohan Srinivasan; Achal Pashine; Guodong Chen
Journal:  MAbs       Date:  2017-11-14       Impact factor: 5.857

3.  Accurate Structure Prediction of CDR H3 Loops Enabled by a Novel Structure-Based C-Terminal Constraint.

Authors:  Brian D Weitzner; Jeffrey J Gray
Journal:  J Immunol       Date:  2016-11-21       Impact factor: 5.422

4.  Antibody structure determination using a combination of homology modeling, energy-based refinement, and loop prediction.

Authors:  Kai Zhu; Tyler Day; Dora Warshaviak; Colleen Murrett; Richard Friesner; David Pearlman
Journal:  Proteins       Date:  2014-04-16

Review 5.  How repertoire data are changing antibody science.

Authors:  Claire Marks; Charlotte M Deane
Journal:  J Biol Chem       Date:  2020-05-14       Impact factor: 5.157

Review 6.  Antibody H3 Structure Prediction.

Authors:  C Marks; C M Deane
Journal:  Comput Struct Biotechnol J       Date:  2017-02-01       Impact factor: 7.271

Review 7.  How B-Cell Receptor Repertoire Sequencing Can Be Enriched with Structural Antibody Data.

Authors:  Aleksandr Kovaltsuk; Konrad Krawczyk; Jacob D Galson; Dominic F Kelly; Charlotte M Deane; Johannes Trück
Journal:  Front Immunol       Date:  2017-12-08       Impact factor: 7.561

8.  Selection and Modelling of a New Single-Domain Intrabody Against TDP-43.

Authors:  Martina Gilodi; Simonetta Lisi; Erika F Dudás; Marco Fantini; Rita Puglisi; Alexandra Louka; Paolo Marcatili; Antonino Cattaneo; Annalisa Pastore
Journal:  Front Mol Biosci       Date:  2022-02-14
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.