Ab initio structure prediction of the antibody hypervariable H3 loop

Kai Zhu1, Tyler Day

  • 1Schrodinger, LLC, 120 West 45th Street, New York, New York 10036, USA.

Proteins
|December 21, 2012
PubMed

Insights

Predicting antibody H3 loop structures is crucial for antibody design. This study shows accurate ab initio H3 loop structure prediction using conformational sampling and energy calculations, achieving high accuracy in both crystal and non-crystallographic environments.

Area of Science:

  • Structural biology
  • Computational chemistry
  • Immunology

Background:

  • Antibodies bind diverse antigens via complementarity determining regions (CDRs).
  • The H3 loop is the most variable CDR loop, posing a challenge for structure prediction.
  • Accurate H3 loop structure prediction is vital for computational antibody design and engineering.

Purpose of the Study:

  • To develop and evaluate an ab initio method for predicting H3 loop structures.
  • To assess prediction accuracy in crystallographic and non-crystallographic environments.

Main Methods:

  • Utilized conformational sampling and energy calculations with the Prime program.
  • Tested on a dataset of 53 H3 loops with lengths ranging from 4 to 22 residues.
  • Evaluated predictions in both crystal and non-crystallographic (homologous antibody scaffold) environments.

Main Results:

  • In a crystal environment, median backbone RMSD was 0.5 Å, with 91% of predictions < 2.0 Å.
  • In a non-crystallographic environment, 70% of predictions achieved RMSD < 2.0 Å.
  • Demonstrated high accuracy for ab initio H3 loop structure prediction.

Conclusions:

  • Ab initio H3 loop structure prediction is feasible and accurate.
  • The developed method shows promise for computational antibody modeling and engineering.
  • Accurate H3 loop prediction can advance the design of novel antibodies with improved properties.

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