Antibody CDR H3 modeling rules: extension for the case of absence of Arg H94 and Asp H101

Oleg V Koliasnikov1, Miroslav O Kiral, Vitaly G Grigorenko

  • 1Chemistry Department Moscow State University, LenGory, Moscow, Russia, 119992, Russia. olkol@enz.chem.msu.ru.

Insights

Modeling the immunoglobulin heavy chain's third complementary determining region (CDR H3) is challenging. This study establishes new sequence-structure rules for predicting CDR H3 "torso" conformations, improving antibody structure modeling accuracy.

Area of Science:

  • Immunology
  • Structural Biology
  • Computational Biology

Background:

  • The third complementary determining region (CDR H3) of the immunoglobulin heavy chain presents modeling challenges due to its genetic variability.
  • The conformation of the CDR H3 "torso" region is generally predictable, with current theories focusing on key residues at positions H94 and H101.
  • Predictive models exist for CDR H3 torso structures when specific residues (arginine, lysine, or aspartic acid) are present at H94 and/or H101.

Purpose of the Study:

  • To investigate and establish sequence-structure rules for CDR H3 conformations in cases lacking key residues at positions H94 and H101.
  • To address a gap in the literature concerning the modeling of CDR H3 structures with uncharacteristic residue combinations at critical positions.
  • To enhance the accuracy of antibody structure modeling by developing new predictive rules.

Main Methods:

  • Analysis of 51 CDR H3 structures lacking key residues at positions H94 and H101.
  • Identification and establishment of novel sequence-structure relationships specific to these CDR H3 variants.
  • Development of new rules to guide the prediction of CDR H3 torso conformations.

Main Results:

  • New sequence-structure rules were successfully established for CDR H3 regions lacking key residues at H94 and H101.
  • The study identified predictable conformational patterns in CDR H3 despite the absence of canonical residues.
  • These findings provide a basis for more accurate modeling of previously intractable CDR H3 structures.

Conclusions:

  • The established rules offer improved predictability for CDR H3 "torso" conformations in specific, understudied cases.
  • This research contributes to more accurate antibody structure modeling, particularly for antibodies with atypical CDR H3 sequences.
  • The findings advance the understanding of CDR H3 structure-function relationships and antibody engineering.

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