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Assessment of Immunologically Relevant Dynamic Tertiary Structural Features of the HIV-1 V3 Loop Crown R2 Sequence by ab initio Folding
Published on: September 15, 2010
Ab initio structure prediction of the antibody hypervariable H3 loop
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.
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.
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